L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Applied Researcher IOverview:At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied ResearchPreferred Qualifications choose correct set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/30/2026
Applied Researcher IOverview:At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied ResearchPreferred Qualifications choose correct set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Distinguished AI EngineerAt Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/30/2026
Sr. Distinguished AI EngineerAt Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management Build and maintain an active client base Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions Maintain knowledge of all club services, programs, and products Service and Hospitality Execute fitness assessments, guided workouts, and other complimentary services for members Interact with members to enhance their workouts and overall club experience Create and coach personalized programs for both in-person and virtual clients Maintain an organized and safe fitness floor during shifts and sessions Professional Development Attend Continuing Education classes to elevate knowledge and qualify for promotions Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) Current CPR/AED certification Certification opportunities available for non-certified applicants Possess passion, ambition, drive, and knowledge regarding fitness Ability to work in-person during weekdays/weekends Strong verbal and written communication skills Effective time management and organizational skills Basic computer and technology skills Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: Compensation for time spent in internal education to support your growth as a Personal Trainer and professional Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus Access to Medical, Dental, Vision, and 401k benefits within the first month of employment Pathway to management opportunities via our in-house Manager-In-Training program. One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: We offer competitive salary, benefits, and industry leading commission opportunities for club employees Complimentary Club membership Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. PandoLogic. Category:Sports,
04/30/2026
Full time
Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management Build and maintain an active client base Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions Maintain knowledge of all club services, programs, and products Service and Hospitality Execute fitness assessments, guided workouts, and other complimentary services for members Interact with members to enhance their workouts and overall club experience Create and coach personalized programs for both in-person and virtual clients Maintain an organized and safe fitness floor during shifts and sessions Professional Development Attend Continuing Education classes to elevate knowledge and qualify for promotions Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) Current CPR/AED certification Certification opportunities available for non-certified applicants Possess passion, ambition, drive, and knowledge regarding fitness Ability to work in-person during weekdays/weekends Strong verbal and written communication skills Effective time management and organizational skills Basic computer and technology skills Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: Compensation for time spent in internal education to support your growth as a Personal Trainer and professional Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus Access to Medical, Dental, Vision, and 401k benefits within the first month of employment Pathway to management opportunities via our in-house Manager-In-Training program. One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: We offer competitive salary, benefits, and industry leading commission opportunities for club employees Complimentary Club membership Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. PandoLogic. Category:Sports,
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management Build and maintain an active client base Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions Maintain knowledge of all club services, programs, and products Service and Hospitality Execute fitness assessments, guided workouts, and other complimentary services for members Interact with members to enhance their workouts and overall club experience Create and coach personalized programs for both in-person and virtual clients Maintain an organized and safe fitness floor during shifts and sessions Professional Development Attend Continuing Education classes to elevate knowledge and qualify for promotions Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) Current CPR/AED certification Certification opportunities available for non-certified applicants Possess passion, ambition, drive, and knowledge regarding fitness Ability to work in-person during weekdays/weekends Strong verbal and written communication skills Effective time management and organizational skills Basic computer and technology skills Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: Compensation for time spent in internal education to support your growth as a Personal Trainer and professional Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus Access to Medical, Dental, Vision, and 401k benefits within the first month of employment Pathway to management opportunities via our in-house Manager-In-Training program. One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: We offer competitive salary, benefits, and industry leading commission opportunities for club employees Complimentary Club membership Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. PandoLogic. Category:Sports,
04/30/2026
Full time
Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management Build and maintain an active client base Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions Maintain knowledge of all club services, programs, and products Service and Hospitality Execute fitness assessments, guided workouts, and other complimentary services for members Interact with members to enhance their workouts and overall club experience Create and coach personalized programs for both in-person and virtual clients Maintain an organized and safe fitness floor during shifts and sessions Professional Development Attend Continuing Education classes to elevate knowledge and qualify for promotions Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) Current CPR/AED certification Certification opportunities available for non-certified applicants Possess passion, ambition, drive, and knowledge regarding fitness Ability to work in-person during weekdays/weekends Strong verbal and written communication skills Effective time management and organizational skills Basic computer and technology skills Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: Compensation for time spent in internal education to support your growth as a Personal Trainer and professional Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus Access to Medical, Dental, Vision, and 401k benefits within the first month of employment Pathway to management opportunities via our in-house Manager-In-Training program. One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: We offer competitive salary, benefits, and industry leading commission opportunities for club employees Complimentary Club membership Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. PandoLogic. Category:Sports,
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/30/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Software Engineering Job Code: 35415 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Software Engineering Director to lead cross-sector software engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering & Applied AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's software engineering discipline today. The ideal candidate is a strategic thinker with deep software engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the software engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector software engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for software engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of software engineering tools, infrastructure, DevSecOps platforms, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for software engineering, identifying where AI-assisted development, code generation, test automation, and intelligent tooling can transform how software is developed at L3Harris. Partner with AI Workforce Readiness to ensure AI training programs are tailored to software engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of software engineering strategy, standards, and capability. Qualifications: Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Experience leading and developing large software engineering teams across multiple programs or sectors. Technical background in software engineering fundamentals: embedded software, mission software architectures, DevSecOps, software integration and test, AI/ML, and software-intensive systems. Experience developing engineering team strategies, workforce development plans, and performance management frameworks. Active Secret Clearance Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Hands-On experience with AI-assisted software development tools, code generation, automated testing, and AI integration in software engineering workflows. Familiarity with Model-Based Systems Engineering (MBSE), digital engineering frameworks, and software architecture modeling. Experience managing and growing engineering communities of practice across large, distributed organizations. Strong knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. Experience leading large DoD proposals with significant software engineering content. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $194,500 - $361,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $168,500 - $313,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. The application window for this requisition is anticipated to close June 30, 2026. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Senior Lead AI Engineer (FM Hosting)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/30/2026
Senior Lead AI Engineer (FM Hosting)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)Overview:At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied ResearchPreferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labelingCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/30/2026
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)Overview:At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals.The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied ResearchPreferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labelingCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI EngineerOverview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/29/2026
Senior Lead AI EngineerOverview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/29/2026
Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/29/2026
Full time
Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/29/2026
Full time
Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
