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LaGuardia Community College
Administrative Coordinator - Office of the Vice President
LaGuardia Community College Long Island City, New York
Job Title: Administrative Coordinator - Office of the Vice President Job ID: 32396 Location: LaGuardia Community College Full/Part Time: Full-Time Regular/Temporary: Regular POSITION DETAILS Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York (CUNY). LaGuardia offers more than sixty associate degree programs and more than fifty workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 24,000 students. More than one-third of LaGuardia's degree-seeking students are born outside the United States; they come from 136 countries and speak 43 heritage languages. Sixty percent are first-generation college students. Virtually all LaGuardia students are ethnic minorities (89 percent), 58 percent are women, 27 percent are over the age of 25. Forty-six percent of associate degree students are Hispanic. Upon graduation most students transfer to four-year colleges, typically in CUNY, to complete their baccalaureate degrees. Graduates of career programs such as Nursing, Computer Technology, and Veterinary Technology enter the workforce. LaGuardia ranked fifth among U.S. community colleges in economic mobility - moving low-income students into the middle class and beyond - in studies by Stanford University (2017) and the Brookings Institution (2020). Please visit to learn more. Reporting to the Senior Vice President for Administration and Finance or as designated, the Administrative Coordinator will provide administrative and clerical support to ensure the smooth operations of the office. Duties include the coordination and support of planning, design, and construction of design and construction projects of new buildings, additions, and modification to existing buildings. Assist with managing office schedules, coordinating meetings, and maintaining departmental calendars; Support the implementation of office policies and procedures to improve workflow; Assist with onboarding and training of office staff, volunteers, or student workers as needed; Maintain organized records, documents, and compliance with institutional policies; Track and order material samples and office supplies, ensuring cost-effective procurement; Help maintain relationships with internal departments, community organizations, vendors, and stakeholders; Provide administrative support for data collection, strategic planning, and new initiatives; Assist in resolving operational challenges and implementing office improvements; QUALIFICATIONS Bachelor's Degree required. PREFERRED QUALIFICATIONS Bachelor's Degree in a design-, engineering-, or construction-related field. Interest or knowledge in interior design, architectural design, construction, engineering, or space planning. Understanding and ability to read floor plans for architectural, mechanical, electrical, and plumbing disciplines. Strong oral and written communications skills, excellent interpersonal skills, and the ability to work as part of a team handling multiple projects. CUNY TITLE OVERVIEW Supports projects, initiatives, and activities that impact an academic or administrative department. Manages basic office functions such as communications, meeting schedules, work plans, staff assignments, and distributing information. Collects data for, prepares, and distributes reports and presentations using word processing, spreadsheet, and presentation software. Updates office databases, lists, and files to ensure completeness and accuracy; maintains current information on department web site(s); maintains department archives and collections. Conducts internet and/or database research and performs basic systems queries to locate information related to department activities. Maintains department fiscal plans and budgets; assists in budget administration and invoice processing. Provides basic information, instructions, and materials as requested by students, faculty, and others who contact the department. May supervise office staff and student workers. Performs related duties as assigned. Job Title Name: Administrative Coordinator CUNY TITLE Assistant to HEO FLSA Non-exempt COMPENSATION AND BENEFITS $48,647 - $72,236 Salary commensurate with education and experience. CUNY's benefits contribute significantly to total compensation, supporting health and wellness, financial well-being, and professional development. We offer a range of health plans, competitive retirement/pension benefits and savings plans, tuition waivers for CUNY graduate study and generous paid time off. Our staff also benefits from the extensive academic, arts, and athletic programs on our campuses and the opportunity to participate in a lively, diverse academic community in one of the greatest cities in the world. HOW TO APPLY Visit , access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information. Candidates should provide a resume and cover letter. CLOSING DATE July 25th,2026 JOB SEARCH CATEGORY CUNY Job Posting: Managerial/Professional EQUAL EMPLOYMENT OPPORTUNITY CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
07/27/2026
Full time
Job Title: Administrative Coordinator - Office of the Vice President Job ID: 32396 Location: LaGuardia Community College Full/Part Time: Full-Time Regular/Temporary: Regular POSITION DETAILS Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York (CUNY). LaGuardia offers more than sixty associate degree programs and more than fifty workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 24,000 students. More than one-third of LaGuardia's degree-seeking students are born outside the United States; they come from 136 countries and speak 43 heritage languages. Sixty percent are first-generation college students. Virtually all LaGuardia students are ethnic minorities (89 percent), 58 percent are women, 27 percent are over the age of 25. Forty-six percent of associate degree students are Hispanic. Upon graduation most students transfer to four-year colleges, typically in CUNY, to complete their baccalaureate degrees. Graduates of career programs such as Nursing, Computer Technology, and Veterinary Technology enter the workforce. LaGuardia ranked fifth among U.S. community colleges in economic mobility - moving low-income students into the middle class and beyond - in studies by Stanford University (2017) and the Brookings Institution (2020). Please visit to learn more. Reporting to the Senior Vice President for Administration and Finance or as designated, the Administrative Coordinator will provide administrative and clerical support to ensure the smooth operations of the office. Duties include the coordination and support of planning, design, and construction of design and construction projects of new buildings, additions, and modification to existing buildings. Assist with managing office schedules, coordinating meetings, and maintaining departmental calendars; Support the implementation of office policies and procedures to improve workflow; Assist with onboarding and training of office staff, volunteers, or student workers as needed; Maintain organized records, documents, and compliance with institutional policies; Track and order material samples and office supplies, ensuring cost-effective procurement; Help maintain relationships with internal departments, community organizations, vendors, and stakeholders; Provide administrative support for data collection, strategic planning, and new initiatives; Assist in resolving operational challenges and implementing office improvements; QUALIFICATIONS Bachelor's Degree required. PREFERRED QUALIFICATIONS Bachelor's Degree in a design-, engineering-, or construction-related field. Interest or knowledge in interior design, architectural design, construction, engineering, or space planning. Understanding and ability to read floor plans for architectural, mechanical, electrical, and plumbing disciplines. Strong oral and written communications skills, excellent interpersonal skills, and the ability to work as part of a team handling multiple projects. CUNY TITLE OVERVIEW Supports projects, initiatives, and activities that impact an academic or administrative department. Manages basic office functions such as communications, meeting schedules, work plans, staff assignments, and distributing information. Collects data for, prepares, and distributes reports and presentations using word processing, spreadsheet, and presentation software. Updates office databases, lists, and files to ensure completeness and accuracy; maintains current information on department web site(s); maintains department archives and collections. Conducts internet and/or database research and performs basic systems queries to locate information related to department activities. Maintains department fiscal plans and budgets; assists in budget administration and invoice processing. Provides basic information, instructions, and materials as requested by students, faculty, and others who contact the department. May supervise office staff and student workers. Performs related duties as assigned. Job Title Name: Administrative Coordinator CUNY TITLE Assistant to HEO FLSA Non-exempt COMPENSATION AND BENEFITS $48,647 - $72,236 Salary commensurate with education and experience. CUNY's benefits contribute significantly to total compensation, supporting health and wellness, financial well-being, and professional development. We offer a range of health plans, competitive retirement/pension benefits and savings plans, tuition waivers for CUNY graduate study and generous paid time off. Our staff also benefits from the extensive academic, arts, and athletic programs on our campuses and the opportunity to participate in a lively, diverse academic community in one of the greatest cities in the world. HOW TO APPLY Visit , access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information. Candidates should provide a resume and cover letter. CLOSING DATE July 25th,2026 JOB SEARCH CATEGORY CUNY Job Posting: Managerial/Professional EQUAL EMPLOYMENT OPPORTUNITY CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Capital One
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)
Capital One Mc Lean, Virginia
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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).
07/27/2026
Full time
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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).
Capital One
Senior Lead AI Engineer
Capital One Mc Lean, Virginia
Senior Lead AI Engineer 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 Java Preferred 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 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: $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 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 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).
07/27/2026
Full time
Senior Lead AI Engineer 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 Java Preferred 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 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: $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 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 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).
Field Service/Customer Engineer II - Etch
Applied Materials Albany, New York
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Salary: $31.00 - $42.40 Location: Albany,NY You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Field Service Engineer Customer Engineer at Applied Materials, you serve as the direct liaison with customers, collaborating closely to install, maintain, and upgrade equipment. You'll use digital analytics for troubleshooting and apply basic diagnostic techniques to assess and address technical issues. Your responsibilities include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate and communicate directly with customers to ensure smooth operations and exceptional service. Applied Materials is a Fortune 500 company with over 14,000 employees in more than 90 locations and 20-plus countries. Today we're a global leader in flat panel display and solar PV equipment, two industries that increasingly rely on nonmanufacturing to achieve technology breakthroughs. Applied works to improve the way people live. This is true from the health and well-being of our employees and their communities to our sustainable business practices and corporate governance. Every aspect of our business supports the goal of building a brighter future for all. Our mission is to lead the world with materials engineering solutions that enable customers to transform possibilities into reality. Every day, we help high tech manufacturers around the world stay in the vanguard of technology and increase efficiency throughout the equipment lifecycle, so they can realize their technology roadmaps, solve tough problems, and overcome production challenges. Our innovations make possible the technology shaping the future. Join us today and help make that happen! Customer/Field Service Engineer Job Mission Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality, and our field service engineers are positioned in the frontline - Installing, supporting and optimizing complex systems and machinery in our customer sites around the globe. Our machines combine advanced electronics, lasers and optics, robotics, mechanics, chemistry, controls, computing and software, and our field service engineers master these fields together with customer facing skills, and grow throughout their careers as they advance in rank and knowledge. Job Description Has developed specialized skills or is multi-skilled developed through job-related training and considerable on-the-job experience. Completes work with a limited degree of supervision. Likely to act as an informal resource for colleagues with less experience. Key Responsibilities Is proficient on primary toolset and demonstrates ability to acquire additional systems and applications. Performs startup activities through Tier II with limited support. Able to complete qualifications with minimal assistance. Completes quality repairs. Actively responds to fab issues by communicating with engineers in other locations and participating in escalation conference calls. May initiate or participate in projects to drive down costs or increase uptime. Ability to carry out action plans and report findings. Verifies operational quality of system equipment. Follows all checklists and procedures and ensures correct Revs of procedures and schematics are available prior to performing work. May identify procedural issues. Can perform most retrofits on equipment. Assists in process issues. Applies diagnostic techniques and the use of documentation and test equipment with assistance from senior engineers. Assumes responsibility for full customer satisfaction assuring excellent relations within assigned area. Demonstrates strong interest and knowledge of the customer's business. Builds and maintains customer satisfaction through clear, consistent communication and the sharing of collective knowledge. Is consistently able to operate in high pressure or ambiguous situations. Solicits customer feedback. Understands the impact of various actions/decisions on the account. Is aware of potential dissatisfies and escalates as appropriate. Develops and executes corrective action plans. Performs BKM's. Actively engages in the use of knowledge management systems. Complies with all IP guidelines. Complies with all safety procedures and consistently demonstrates safety as a value. Functional Knowledge Is skilled in a range of processes, procedures, systems and tool sets to carry out assigned tasks or has developed deep skills and knowledge of tools in a single area Business Expertise Uses knowledge of how the team integrates with others to accomplish the team objectives Builds and maintains customer satisfaction through clear, consistent communication and the sharing of collective knowledge Leadership Provides informal guidance and support to more junior team members Problem Solving Provides solutions to problems in situations that are atypical or infrequently occurring based on practice and existing precedents or procedures Impact Impacts the quality, timeliness and effectiveness of the team; uses discretion to modify work practices and processes to achieve results or improve efficiency Interpersonal Skills Explains technical information within the team Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
07/27/2026
Full time
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Salary: $31.00 - $42.40 Location: Albany,NY You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Field Service Engineer Customer Engineer at Applied Materials, you serve as the direct liaison with customers, collaborating closely to install, maintain, and upgrade equipment. You'll use digital analytics for troubleshooting and apply basic diagnostic techniques to assess and address technical issues. Your responsibilities include performing preventative and corrective maintenance on various systems such as electrical, vacuum, mechanical, plasma, hydraulic, and gas systems. Additionally, you'll coordinate and communicate directly with customers to ensure smooth operations and exceptional service. Applied Materials is a Fortune 500 company with over 14,000 employees in more than 90 locations and 20-plus countries. Today we're a global leader in flat panel display and solar PV equipment, two industries that increasingly rely on nonmanufacturing to achieve technology breakthroughs. Applied works to improve the way people live. This is true from the health and well-being of our employees and their communities to our sustainable business practices and corporate governance. Every aspect of our business supports the goal of building a brighter future for all. Our mission is to lead the world with materials engineering solutions that enable customers to transform possibilities into reality. Every day, we help high tech manufacturers around the world stay in the vanguard of technology and increase efficiency throughout the equipment lifecycle, so they can realize their technology roadmaps, solve tough problems, and overcome production challenges. Our innovations make possible the technology shaping the future. Join us today and help make that happen! Customer/Field Service Engineer Job Mission Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality, and our field service engineers are positioned in the frontline - Installing, supporting and optimizing complex systems and machinery in our customer sites around the globe. Our machines combine advanced electronics, lasers and optics, robotics, mechanics, chemistry, controls, computing and software, and our field service engineers master these fields together with customer facing skills, and grow throughout their careers as they advance in rank and knowledge. Job Description Has developed specialized skills or is multi-skilled developed through job-related training and considerable on-the-job experience. Completes work with a limited degree of supervision. Likely to act as an informal resource for colleagues with less experience. Key Responsibilities Is proficient on primary toolset and demonstrates ability to acquire additional systems and applications. Performs startup activities through Tier II with limited support. Able to complete qualifications with minimal assistance. Completes quality repairs. Actively responds to fab issues by communicating with engineers in other locations and participating in escalation conference calls. May initiate or participate in projects to drive down costs or increase uptime. Ability to carry out action plans and report findings. Verifies operational quality of system equipment. Follows all checklists and procedures and ensures correct Revs of procedures and schematics are available prior to performing work. May identify procedural issues. Can perform most retrofits on equipment. Assists in process issues. Applies diagnostic techniques and the use of documentation and test equipment with assistance from senior engineers. Assumes responsibility for full customer satisfaction assuring excellent relations within assigned area. Demonstrates strong interest and knowledge of the customer's business. Builds and maintains customer satisfaction through clear, consistent communication and the sharing of collective knowledge. Is consistently able to operate in high pressure or ambiguous situations. Solicits customer feedback. Understands the impact of various actions/decisions on the account. Is aware of potential dissatisfies and escalates as appropriate. Develops and executes corrective action plans. Performs BKM's. Actively engages in the use of knowledge management systems. Complies with all IP guidelines. Complies with all safety procedures and consistently demonstrates safety as a value. Functional Knowledge Is skilled in a range of processes, procedures, systems and tool sets to carry out assigned tasks or has developed deep skills and knowledge of tools in a single area Business Expertise Uses knowledge of how the team integrates with others to accomplish the team objectives Builds and maintains customer satisfaction through clear, consistent communication and the sharing of collective knowledge Leadership Provides informal guidance and support to more junior team members Problem Solving Provides solutions to problems in situations that are atypical or infrequently occurring based on practice and existing precedents or procedures Impact Impacts the quality, timeliness and effectiveness of the team; uses discretion to modify work practices and processes to achieve results or improve efficiency Interpersonal Skills Explains technical information within the team Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Capital One
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One Mc Lean, Virginia
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 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 Java Preferred 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 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: $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 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).
07/27/2026
Full time
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) 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 Java Preferred 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 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: $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 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).
Capital One
Senior Lead AI Engineer
Capital One New York, New York
Senior Lead 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 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 Java Preferred 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 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: $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 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).
07/27/2026
Full time
Senior Lead 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 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 Java Preferred 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 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: $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 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).
Capital One
Senior Lead Machine Learning Engineer
Capital One New York, New York
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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).
07/27/2026
Full time
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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).
Senior Academic Tech Svc Director, Dedman Law & Perkins - (INF)
SMU Dallas, Texas
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. The Senior Academic Technology Services Director (Senior ATSD) serves as the principal academic-technology advisor and strategic partner to the Dean (or designated academic leadership representative), faculty, and administration of the Perkins School of Theology and the Dedman School of Law. The position combines strategic academic-technology leadership with faculty consultation, instructional technology expertise, learning-management-system administration, technology adoption support, service coordination, and occasional direct engagement in complex academic technology initiatives, while operating at a high level of strategic accountability for academic-technology planning, technology-enabled program innovation, responsible artificial intelligence adoption, online and hybrid learning initiatives, scholarly and research technologies, and faculty development across two schools with distinct missions and priorities. Partnering closely with academic leadership, OIT, and university stakeholders, the Senior ATSD translates institutional and school priorities into actionable technology strategies and services that advance enrollment, student success, research, quality technology-enabled teaching, and institutional reputation. Operational technology support is delivered through OIT customer-services teams; the primary focus of this position is strategic partnership, academic innovation, program development, organizational change leadership, and institutional coordination while maintaining deep hands-on technical fluency and the ability to provide direct faculty, student, and staff support when school needs require senior academic-technology judgment and support. Essential Functions: Strategic Academic-Technology Partnership & Planning: Serves as the principal OIT academic-technology advisor and strategic partner to the Dean (or designated academic leadership representative) regarding technology-enabled teaching, learning, research, academic operations, and program innovation. Leads multi-year academic-technology strategy for Perkins and Dedman Law, aligning university and OIT capabilities to advance each school's mission, priorities, and academic objectives, and aligning each school's priorities with university and OIT capabilities. Advocates for each school's academic and faculty needs while helping university-wide initiatives land effectively within the schools. Develops roadmaps, recommends priorities, coordinates technology planning and process improvement activities, and provides regular progress reporting and strategic recommendations to school and university leadership. Artificial Intelligence Integration Leadership: Supports and leads the responsible integration of AI into teaching, learning, research, and faculty development across both schools. Establishes AI-use guidance and governance in partnership with faculty and OIT; designs AI-literacy and AI-enhanced pedagogy and assessment programming; advises faculty and leadership on emerging capabilities, risks, and academic-integrity implications; and pilots and evaluates AI tools for school-specific needs (e.g., legal research and analysis; theological and multilingual content). Online & Hybrid Program Architecture, Strategy & Support: Contributes senior academic-technology leadership to the architecture, technology integration, and continuous improvement of the schools' technology-enabled academic programs: Perkins' hybrid and online divinity programs, distributed and multilingual delivery, and teach-out continuity; and Dedman Law's online Master of Legal Studies and hybrid offerings. Partners closely with OIT Online Production Services, which leads online course development and instructional design, and with the SMU Center for Teaching Excellence, SMU Libraries, and other university stakeholders to support the design, launch, growth, and quality of these programs. The position leads the technology architecture and ongoing academic-technology support that surround online and hybrid programs; it does not supervise the instructional-design function, which the Online Production Services team delivers. Instructional Technology & LMS (Canvas) Strategic Oversight: Acts as the senior academic-technology authority for faculty and staff in leveraging the learning management system (Canvas) and instructional technologies toward pedagogical advantage; helps maintain and coach standards for course design, accessibility, and quality; leads adoption of advanced teaching tools; and coordinates instructional-support resources for both schools Research-Computing, Data & Scholarly-Technology Consultation: Provides senior consultation on research and scholarly technologies relevant to each school: empirical and quantitative methods, data-analysis and survey tools, research-data management, journals, and secure exam administration for Law; and special-collections, global, and multilingual scholarly resources for Perkins. Connects faculty to university research-computing capabilities. Change Leadership & Faculty Development at Scale: Designs and leads structured faculty-development programming (workshops, training series, communities of practice) and change-management strategies for major technology transitions, building faculty capacity at scale rather than providing one-off assistance. Executive Communication & Stakeholder Translation: Prepares and delivers executive-level briefings, written strategic recommendations, and presentations to deans, academic leaders, faculty, the CIO, and the Provost's Office; translates between academic priorities and technical strategy; and represents the schools' academic-technology interests in university governance. Technology Coordination, Data Stewardship & Platform Strategy: Coordinates school participation in university technology-governance processes and serves as a liaison between school leadership, Faculty Technology Council representatives, Dean-designated stakeholders, and institutional technology planning efforts. Advises academic leadership on technology-enabled program innovation, new instructional models, competitive differentiation, and emerging opportunities that help advance enrollment, student success, research, and institutional reputation. Provides stewardship and consultation regarding technology platforms, software licensing strategies, data access, security considerations, and institutional technology Team & Talent Leadership: Serves to coordinate cross-functional project teams composed of OIT specialists, student employees, temporary staff, and other assigned resources when appropriate. Provides mentoring, project leadership, prioritization, and coordination for technology initiatives that span organizational boundaries. The position has no regular (FTE) direct reports and does not supervise SMU staff; it leads student and temporary teams as needed. Service-Level Design, Continuity & Direct Support: Designs sustainable, team-based service and escalation models for both schools and ensures academic-technology continuity through peak periods and program launches. Coordinates closely with other relevant OIT customer service teams for routine day-to-day support while maintaining deep hands-on technical fluency. Provides direct faculty, student, and staff support when needed, particularly during high-impact initiatives, program launches, complex instructional-technology issues, or situations requiring senior academic-technology judgment. Qualifications Education and Experience: Master's degree and six (6) years of progressive higher-education experience, including at least two (2) years in strategic advisory, leadership, project leadership, academic leadership responsibility, or comparable roles; OR a bachelor's degree and eight (8) years of such experience, including at least three (3) years in those roles. Doctoral degree preferred. Degree in instructional technology, instructional design, educational technology, higher-education administration, information science, or a closely related field desired. Type of Work Experience Required: Progressive experience in academic technology support, online instructional design, or IT leadership in higher education. Demonstrated strategic planning and change-management experience. Experience with learning management systems (Canvas), instructional technologies, and online programming support . click apply for full job details
07/27/2026
Full time
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. The Senior Academic Technology Services Director (Senior ATSD) serves as the principal academic-technology advisor and strategic partner to the Dean (or designated academic leadership representative), faculty, and administration of the Perkins School of Theology and the Dedman School of Law. The position combines strategic academic-technology leadership with faculty consultation, instructional technology expertise, learning-management-system administration, technology adoption support, service coordination, and occasional direct engagement in complex academic technology initiatives, while operating at a high level of strategic accountability for academic-technology planning, technology-enabled program innovation, responsible artificial intelligence adoption, online and hybrid learning initiatives, scholarly and research technologies, and faculty development across two schools with distinct missions and priorities. Partnering closely with academic leadership, OIT, and university stakeholders, the Senior ATSD translates institutional and school priorities into actionable technology strategies and services that advance enrollment, student success, research, quality technology-enabled teaching, and institutional reputation. Operational technology support is delivered through OIT customer-services teams; the primary focus of this position is strategic partnership, academic innovation, program development, organizational change leadership, and institutional coordination while maintaining deep hands-on technical fluency and the ability to provide direct faculty, student, and staff support when school needs require senior academic-technology judgment and support. Essential Functions: Strategic Academic-Technology Partnership & Planning: Serves as the principal OIT academic-technology advisor and strategic partner to the Dean (or designated academic leadership representative) regarding technology-enabled teaching, learning, research, academic operations, and program innovation. Leads multi-year academic-technology strategy for Perkins and Dedman Law, aligning university and OIT capabilities to advance each school's mission, priorities, and academic objectives, and aligning each school's priorities with university and OIT capabilities. Advocates for each school's academic and faculty needs while helping university-wide initiatives land effectively within the schools. Develops roadmaps, recommends priorities, coordinates technology planning and process improvement activities, and provides regular progress reporting and strategic recommendations to school and university leadership. Artificial Intelligence Integration Leadership: Supports and leads the responsible integration of AI into teaching, learning, research, and faculty development across both schools. Establishes AI-use guidance and governance in partnership with faculty and OIT; designs AI-literacy and AI-enhanced pedagogy and assessment programming; advises faculty and leadership on emerging capabilities, risks, and academic-integrity implications; and pilots and evaluates AI tools for school-specific needs (e.g., legal research and analysis; theological and multilingual content). Online & Hybrid Program Architecture, Strategy & Support: Contributes senior academic-technology leadership to the architecture, technology integration, and continuous improvement of the schools' technology-enabled academic programs: Perkins' hybrid and online divinity programs, distributed and multilingual delivery, and teach-out continuity; and Dedman Law's online Master of Legal Studies and hybrid offerings. Partners closely with OIT Online Production Services, which leads online course development and instructional design, and with the SMU Center for Teaching Excellence, SMU Libraries, and other university stakeholders to support the design, launch, growth, and quality of these programs. The position leads the technology architecture and ongoing academic-technology support that surround online and hybrid programs; it does not supervise the instructional-design function, which the Online Production Services team delivers. Instructional Technology & LMS (Canvas) Strategic Oversight: Acts as the senior academic-technology authority for faculty and staff in leveraging the learning management system (Canvas) and instructional technologies toward pedagogical advantage; helps maintain and coach standards for course design, accessibility, and quality; leads adoption of advanced teaching tools; and coordinates instructional-support resources for both schools Research-Computing, Data & Scholarly-Technology Consultation: Provides senior consultation on research and scholarly technologies relevant to each school: empirical and quantitative methods, data-analysis and survey tools, research-data management, journals, and secure exam administration for Law; and special-collections, global, and multilingual scholarly resources for Perkins. Connects faculty to university research-computing capabilities. Change Leadership & Faculty Development at Scale: Designs and leads structured faculty-development programming (workshops, training series, communities of practice) and change-management strategies for major technology transitions, building faculty capacity at scale rather than providing one-off assistance. Executive Communication & Stakeholder Translation: Prepares and delivers executive-level briefings, written strategic recommendations, and presentations to deans, academic leaders, faculty, the CIO, and the Provost's Office; translates between academic priorities and technical strategy; and represents the schools' academic-technology interests in university governance. Technology Coordination, Data Stewardship & Platform Strategy: Coordinates school participation in university technology-governance processes and serves as a liaison between school leadership, Faculty Technology Council representatives, Dean-designated stakeholders, and institutional technology planning efforts. Advises academic leadership on technology-enabled program innovation, new instructional models, competitive differentiation, and emerging opportunities that help advance enrollment, student success, research, and institutional reputation. Provides stewardship and consultation regarding technology platforms, software licensing strategies, data access, security considerations, and institutional technology Team & Talent Leadership: Serves to coordinate cross-functional project teams composed of OIT specialists, student employees, temporary staff, and other assigned resources when appropriate. Provides mentoring, project leadership, prioritization, and coordination for technology initiatives that span organizational boundaries. The position has no regular (FTE) direct reports and does not supervise SMU staff; it leads student and temporary teams as needed. Service-Level Design, Continuity & Direct Support: Designs sustainable, team-based service and escalation models for both schools and ensures academic-technology continuity through peak periods and program launches. Coordinates closely with other relevant OIT customer service teams for routine day-to-day support while maintaining deep hands-on technical fluency. Provides direct faculty, student, and staff support when needed, particularly during high-impact initiatives, program launches, complex instructional-technology issues, or situations requiring senior academic-technology judgment. Qualifications Education and Experience: Master's degree and six (6) years of progressive higher-education experience, including at least two (2) years in strategic advisory, leadership, project leadership, academic leadership responsibility, or comparable roles; OR a bachelor's degree and eight (8) years of such experience, including at least three (3) years in those roles. Doctoral degree preferred. Degree in instructional technology, instructional design, educational technology, higher-education administration, information science, or a closely related field desired. Type of Work Experience Required: Progressive experience in academic technology support, online instructional design, or IT leadership in higher education. Demonstrated strategic planning and change-management experience. Experience with learning management systems (Canvas), instructional technologies, and online programming support . click apply for full job details
Capital One
Senior Lead AI Engineer (GenAI Platform Services)
Capital One New York, New York
Senior Lead AI Engineer (GenAI Platform Services) 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 Java Preferred 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 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: $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 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).
07/27/2026
Full time
Senior Lead AI Engineer (GenAI Platform Services) 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 Java Preferred 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 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: $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 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).
L3Harris Technologies
Senior Specialist, Manufacturing Engineer
L3Harris Technologies Camden, New Jersey
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: Senior Specialist, Manufacturing Engineer Job Code: 36675 Job Location: Camden, NJ Schedule: 9/80 Job Description: This position is responsible for designing and developing manufacturing methods, processes, procedures, operational sequences and production layouts for the manufacture and testing of power switchboards, circuit breakers and power converters for the NAVY. The ideal candidate is well versed in modern manufacturing methods and techniques, and can implement efficient and rigorous process improvements with attention to applicable specifications and constraints. Essential Functions: Recommends and implements equipment and process modifications to improve production efficiencies, manufacturing techniques and production yields for existing products. Estimates manufacturing costs, evaluates labor standards and makes recommendations for tooling and process requirements of new or existing product lines. Creates and maintains manufacturing documentation including but not limited to: work instructions, production routings, flow charts, time and motion studies, capacity and utilization studies, cycle time analysis, and line balancing. Adapts machine or equipment design as necessary to support production, safety, and ergonomic needs. Qualifications: Bachelor of Science degree in Mechanical, Industrial, or related Engineering with minimum 6 years of prior related experience, or a graduate degree with minimum 4 years of prior relevant experience. In lieu of an engineering degree, minimum of 10 years of prior related experience. Experience with standard ERP, MRP and MES software. Experience in military or industry specifications and standards pertaining to design, testing, hardware, material, and processes. Advanced experience with Microsoft Office (Excel, Word, Powerpoint, PowerBI, Access). Preferred Qualifications: Experience working with Power Switchboard or similar low/medium voltage/high-power type equipment. Experience with CAD software such SolidWorks. Skilled in design, prototyping and development of customized tooling. Trained or certified in motion time systems such as MTM and MOST. Ability to obtain and maintain a secret security clearance In compliance with pay transparency requirements, the salary range for this role is $84,500 - $157,500. 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 relocation stipend, 401(k), EAP, 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. 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.
07/27/2026
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: Senior Specialist, Manufacturing Engineer Job Code: 36675 Job Location: Camden, NJ Schedule: 9/80 Job Description: This position is responsible for designing and developing manufacturing methods, processes, procedures, operational sequences and production layouts for the manufacture and testing of power switchboards, circuit breakers and power converters for the NAVY. The ideal candidate is well versed in modern manufacturing methods and techniques, and can implement efficient and rigorous process improvements with attention to applicable specifications and constraints. Essential Functions: Recommends and implements equipment and process modifications to improve production efficiencies, manufacturing techniques and production yields for existing products. Estimates manufacturing costs, evaluates labor standards and makes recommendations for tooling and process requirements of new or existing product lines. Creates and maintains manufacturing documentation including but not limited to: work instructions, production routings, flow charts, time and motion studies, capacity and utilization studies, cycle time analysis, and line balancing. Adapts machine or equipment design as necessary to support production, safety, and ergonomic needs. Qualifications: Bachelor of Science degree in Mechanical, Industrial, or related Engineering with minimum 6 years of prior related experience, or a graduate degree with minimum 4 years of prior relevant experience. In lieu of an engineering degree, minimum of 10 years of prior related experience. Experience with standard ERP, MRP and MES software. Experience in military or industry specifications and standards pertaining to design, testing, hardware, material, and processes. Advanced experience with Microsoft Office (Excel, Word, Powerpoint, PowerBI, Access). Preferred Qualifications: Experience working with Power Switchboard or similar low/medium voltage/high-power type equipment. Experience with CAD software such SolidWorks. Skilled in design, prototyping and development of customized tooling. Trained or certified in motion time systems such as MTM and MOST. Ability to obtain and maintain a secret security clearance In compliance with pay transparency requirements, the salary range for this role is $84,500 - $157,500. 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 relocation stipend, 401(k), EAP, 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. 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 Technologies
Senior Specialist, Systems Engineer - ELINT
L3Harris Technologies Greenville, Texas
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: Senior Specialist, Systems Engineer - ELINT Job Code: 39540 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a Systems Engineering Specialist who will be involved in activities directly related to the design, and development of complex, specialized SIGINT hardware/software systems to process and manipulate ISR data from multiple data sources. Essential Functions: Works closely with the customer to comprehensively design and implement new system functionality. Writes requirements, supports development, performs integration testing of new or modified products in a Systems Integration Laboratory and on airborne and ground-based platforms. Verifies and validates new baseline functionality while ensuring legacy functionality continues to work as intended. Interface with other Systems Engineers, Agile Development Engineering, Flight Line Test, Product Development, and Project Engineering to understand new baseline functionality. Work closely with L3Harris Internal Research and Development (IR&D) developing proprietary ELINT technology and capabilities. Follow existing standards to document system testing status and anomalies with system hardware and software and verifies subsequent anomaly fixes. Interfaces with the customer to ensure their satisfaction with system performance. Work with management to develop and adhere to schedules and budgets required to accomplish assigned work. Provide regular status updates for ongoing work efforts to management and the customer. Work effectively in a fast-paced, dynamic environment with time-critical requirements. Effective cross-functional communication skills supporting program execution from development through integration and delivery. Analysis of customer requirements, including system and sub-system trade studies, and detailed hardware and software specifications for systems, subsystems, and key components. Development of test planning/procedures of various test equipment including anechoic chambers, spectrum analyzers, and network analyzers. Entire Program/Engineering Life Cycle Phases and Activities. IRAD and Technical Baseline development. Requirements Management. Strong problem solving abilities with thorough documentation, verification, and validation practices Proficiency in digital signal processing (DSP) with strong MATLAB skills for algorithm development, modeling, simulation, and data analysis Solid understanding of DSP fundamentals including filtering, spectral analysis, FFTs, modulation, sampling theory, and noise reduction Ability to support algorithm implementation in C, C++, or Python Active Secret or recent TS/SCI Clearance with the ability to maintain. Working contract proposals. Travel up to 10%. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant engineering experience. Graduate Degree and a minimum of 4 years of prior related engineering experience. In lieu of a degree, a minimum of 10 years of prior related engineering experience. Demonstrated understanding of RF and microwave fundamentals, including antennas, receivers, spectral behavior, and front-end design. Demonstrated experience with signals analysis techniques and tools, including pulse analysis, modulation assessment, and emitter characterization. Demonstrated knowledge of radar fundamentals such as pulse radar, CW/FMCW, LPI principles, scan patterns, and threat system behavior. Preferred Additional Skills: Active TS/SCI Clearance Experience with integration and troubleshooting of complex RF or electronic warfare receiver systems. Experience with JIRA, Confluence, and DOORS for requirements and workflow management. Experience in MATLAB and Python for algorithm development, modeling, automation, data analysis, and visualization. Experience working with large IQ/sample data sets and developing automated processing workflows. Experience with advanced DSP algorithm development and implementation. Familiarity with system level SEI, LPI/LPE techniques, or advanced emitter analysis methodologies. Experience in software integration and system-level test. Proficiency with standard office and documentation tools. 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.
07/27/2026
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: Senior Specialist, Systems Engineer - ELINT Job Code: 39540 Job Location: Greenville, TX Job Schedule: 9/80 - Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a Systems Engineering Specialist who will be involved in activities directly related to the design, and development of complex, specialized SIGINT hardware/software systems to process and manipulate ISR data from multiple data sources. Essential Functions: Works closely with the customer to comprehensively design and implement new system functionality. Writes requirements, supports development, performs integration testing of new or modified products in a Systems Integration Laboratory and on airborne and ground-based platforms. Verifies and validates new baseline functionality while ensuring legacy functionality continues to work as intended. Interface with other Systems Engineers, Agile Development Engineering, Flight Line Test, Product Development, and Project Engineering to understand new baseline functionality. Work closely with L3Harris Internal Research and Development (IR&D) developing proprietary ELINT technology and capabilities. Follow existing standards to document system testing status and anomalies with system hardware and software and verifies subsequent anomaly fixes. Interfaces with the customer to ensure their satisfaction with system performance. Work with management to develop and adhere to schedules and budgets required to accomplish assigned work. Provide regular status updates for ongoing work efforts to management and the customer. Work effectively in a fast-paced, dynamic environment with time-critical requirements. Effective cross-functional communication skills supporting program execution from development through integration and delivery. Analysis of customer requirements, including system and sub-system trade studies, and detailed hardware and software specifications for systems, subsystems, and key components. Development of test planning/procedures of various test equipment including anechoic chambers, spectrum analyzers, and network analyzers. Entire Program/Engineering Life Cycle Phases and Activities. IRAD and Technical Baseline development. Requirements Management. Strong problem solving abilities with thorough documentation, verification, and validation practices Proficiency in digital signal processing (DSP) with strong MATLAB skills for algorithm development, modeling, simulation, and data analysis Solid understanding of DSP fundamentals including filtering, spectral analysis, FFTs, modulation, sampling theory, and noise reduction Ability to support algorithm implementation in C, C++, or Python Active Secret or recent TS/SCI Clearance with the ability to maintain. Working contract proposals. Travel up to 10%. Other duties as assigned by Supervisor. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant engineering experience. Graduate Degree and a minimum of 4 years of prior related engineering experience. In lieu of a degree, a minimum of 10 years of prior related engineering experience. Demonstrated understanding of RF and microwave fundamentals, including antennas, receivers, spectral behavior, and front-end design. Demonstrated experience with signals analysis techniques and tools, including pulse analysis, modulation assessment, and emitter characterization. Demonstrated knowledge of radar fundamentals such as pulse radar, CW/FMCW, LPI principles, scan patterns, and threat system behavior. Preferred Additional Skills: Active TS/SCI Clearance Experience with integration and troubleshooting of complex RF or electronic warfare receiver systems. Experience with JIRA, Confluence, and DOORS for requirements and workflow management. Experience in MATLAB and Python for algorithm development, modeling, automation, data analysis, and visualization. Experience working with large IQ/sample data sets and developing automated processing workflows. Experience with advanced DSP algorithm development and implementation. Familiarity with system level SEI, LPI/LPE techniques, or advanced emitter analysis methodologies. Experience in software integration and system-level test. Proficiency with standard office and documentation tools. 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 Technologies
Senior Manager, Image Science Engineer
L3Harris Technologies Rochester, New York
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: Senior Manager, Image Science Engineering Job Code: 40203 Job Location: Rochester, NY Job Schedule: 9/80 (Every other Friday Off) Job Description: Leads a team of 15-25 engineers and scientists in the development of advanced image science, remote sensing, and data exploitation solutions. Provides technical leadership, mentorship, and oversight across image science activities including image formation, sensor phenomenology, calibration, algorithm development, image quality analysis, testing, integration, and sustainment. Responsible for staffing, talent development, training, and overall team leadership to meet business and program objectives. Manages departmental priorities, operating needs, and budgets, and works cross-functionally with software, systems, operations, and other engineering teams to deliver high-quality technical solutions. Drives continuous improvement in engineering processes, system performance, and technical execution while ensuring alignment with company goals, schedules, and customer requirements. Essential Functions: Lead and support Image Science personnel across multiple programs and technical efforts. Provide functional oversight for image science activities including analysis, calibration, image quality, and algorithm support. Partner with program leaders to align staffing, priorities, and technical resources with business needs. Conduct performance reviews, provide coaching, and support employee development and retention. Support recruiting, hiring, onboarding, and workforce planning for the Image Science function. Contribute to proposal efforts, including technical input, staffing plans, and basis of estimates. Support technical reviews, risk assessments, and root cause/corrective action activities. Mentor team members and encourage knowledge sharing and skill development. Qualifications: Bachelor's degree in Engineering, Physics, Imaging Science, Remote Sensing, Applied Mathematics, or a related technical field and relevant experience, or an equivalent combination of education and experience Experience in image science, remote sensing, electro-optical/infrared systems, sensor phenomenology, or related technical disciplines Experience leading or managing technical teams, projects, or functional engineering groups Knowledge of image science principles such as image quality analysis, calibration, validation, exploitation, or algorithm development Ability to support multiple programs and balance staffing, technical priorities, and business needs Experience working with cross-functional teams including systems, software, hardware, and program management Strong communication, problem-solving, and organizational skills Experience with performance management, coaching, mentoring, and employee development Active Top Secret Clearance with SCI or SCI eligibility Preferred Additional Skills: Prior functional management experience in an engineering or scientific organization Experience supporting proposal, capture, and business development activities, including staffing plans and basis of estimates Experience with EO/IR imaging systems, ISR systems, geospatial imagery, or sensor data exploitation Familiarity with image formation, phenomenology, modeling and simulation, or calibration methodologies Experience supporting root cause investigations and corrective action efforts for technical or program issues Knowledge of engineering processes, technical reviews, and lifecycle development activities Experience working in a defense, aerospace, or government-contractor environment In compliance with pay transparency requirements, the salary range for this role in the state of New York is $133,000-$247,000. 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 position will close on 9/24/2026. 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.
07/27/2026
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: Senior Manager, Image Science Engineering Job Code: 40203 Job Location: Rochester, NY Job Schedule: 9/80 (Every other Friday Off) Job Description: Leads a team of 15-25 engineers and scientists in the development of advanced image science, remote sensing, and data exploitation solutions. Provides technical leadership, mentorship, and oversight across image science activities including image formation, sensor phenomenology, calibration, algorithm development, image quality analysis, testing, integration, and sustainment. Responsible for staffing, talent development, training, and overall team leadership to meet business and program objectives. Manages departmental priorities, operating needs, and budgets, and works cross-functionally with software, systems, operations, and other engineering teams to deliver high-quality technical solutions. Drives continuous improvement in engineering processes, system performance, and technical execution while ensuring alignment with company goals, schedules, and customer requirements. Essential Functions: Lead and support Image Science personnel across multiple programs and technical efforts. Provide functional oversight for image science activities including analysis, calibration, image quality, and algorithm support. Partner with program leaders to align staffing, priorities, and technical resources with business needs. Conduct performance reviews, provide coaching, and support employee development and retention. Support recruiting, hiring, onboarding, and workforce planning for the Image Science function. Contribute to proposal efforts, including technical input, staffing plans, and basis of estimates. Support technical reviews, risk assessments, and root cause/corrective action activities. Mentor team members and encourage knowledge sharing and skill development. Qualifications: Bachelor's degree in Engineering, Physics, Imaging Science, Remote Sensing, Applied Mathematics, or a related technical field and relevant experience, or an equivalent combination of education and experience Experience in image science, remote sensing, electro-optical/infrared systems, sensor phenomenology, or related technical disciplines Experience leading or managing technical teams, projects, or functional engineering groups Knowledge of image science principles such as image quality analysis, calibration, validation, exploitation, or algorithm development Ability to support multiple programs and balance staffing, technical priorities, and business needs Experience working with cross-functional teams including systems, software, hardware, and program management Strong communication, problem-solving, and organizational skills Experience with performance management, coaching, mentoring, and employee development Active Top Secret Clearance with SCI or SCI eligibility Preferred Additional Skills: Prior functional management experience in an engineering or scientific organization Experience supporting proposal, capture, and business development activities, including staffing plans and basis of estimates Experience with EO/IR imaging systems, ISR systems, geospatial imagery, or sensor data exploitation Familiarity with image formation, phenomenology, modeling and simulation, or calibration methodologies Experience supporting root cause investigations and corrective action efforts for technical or program issues Knowledge of engineering processes, technical reviews, and lifecycle development activities Experience working in a defense, aerospace, or government-contractor environment In compliance with pay transparency requirements, the salary range for this role in the state of New York is $133,000-$247,000. 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 position will close on 9/24/2026. 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 Technologies
Senior Specialist, Systems Engineering (Statistician)
L3Harris Technologies West Palm Beach, Florida
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: Senior Specialist, Systems Engineering (Statistician) Job Code: 38776 Job Location: West Palm Beach, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications. The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews. Essential Functions: Working under limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals. Job responsibilities include: Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods. Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities. Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts. Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations. Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods. Develop new applications of existing statistical tools and techniques to apply to key focus areas. Ability to obtain a Secret U.S. security clearance Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Master's degree in Statistics is preferred B.S. in Engineering, Mathematics, or Statistics is preferred Experience with statistical software packages such as Minitab, SAS, R, Python, and/or others Technical writing skills Familiarity with machine learning, Artificial Intelligence, and Bayesian methods ASQ Certified Six Sigma Green or Black Belt ASQ Certified Reliability Engineer ASQ Certified Quality Engineer L3Harris announced on January 5th, that AE Industrial Partners ("AE Industrial") has agreed to acquire a controlling interest in L3Harris' Space Propulsion and Power Systems business. This position has been identified as one that will transition to the new standalone company upon closing of the transaction. Until that time, L3Harris will continue its hiring activity within this business. 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.
07/27/2026
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: Senior Specialist, Systems Engineering (Statistician) Job Code: 38776 Job Location: West Palm Beach, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Statistician will apply statistical methods to a diverse product line and collaborates with other statisticians, engineers, and managers to provide statistics expertise for various engineering, operations, and business applications. The role requires ingenuity and creativity to solve complex problems while meeting delivery commitments despite obstacles and constraints. The Statistician will exercise considerable latitude and sound business judgment in determining the necessary scope of statistical work and in defining technical objectives and solutions. They are expected to fully understand customer requirements and expectations, develop robust plans, and produce deliverables with first-time quality. Additionally, the Statistician will communicate analysis approaches and results to a non-statistical audience and present or support reviews such as design reviews, engineering review boards, and Flight Readiness Reviews. Essential Functions: Working under limited general supervision, the statistician is fully accountable for independently performing Statistics assignments requiring a broad understanding of statistical principles and a working knowledge of Engineering principles and rocket engine fundamentals. Job responsibilities include: Promote statistical thinking by proactively offering statistical leadership and solutions to cross-functional teams supporting production and development programs. Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to assist technical decision-making and anomaly resolution, including Bayesian methods. Provide sampling recommendations, develop experimental designs and conduct analyses to support engineering product development and process improvement activities. Build a return customer base with repeat consultation through exceeding expectations. Provide statistical expertise in support of reliability and risk assessment activities and business decision analysis. Documents work in reports and presentations, and present results to large diverse audiences that may include customer and industry technical experts. Identify and lead Six Sigma efforts across various sites. Support development and implementation of statistical quality control methods for application to operations. Contribute to Discipline growth by improving procedures, best practices, training, introducing state-of-the-art methods. Develop new applications of existing statistical tools and techniques to apply to key focus areas. Ability to obtain a Secret U.S. security clearance Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Master's degree in Statistics is preferred B.S. in Engineering, Mathematics, or Statistics is preferred Experience with statistical software packages such as Minitab, SAS, R, Python, and/or others Technical writing skills Familiarity with machine learning, Artificial Intelligence, and Bayesian methods ASQ Certified Six Sigma Green or Black Belt ASQ Certified Reliability Engineer ASQ Certified Quality Engineer L3Harris announced on January 5th, that AE Industrial Partners ("AE Industrial") has agreed to acquire a controlling interest in L3Harris' Space Propulsion and Power Systems business. This position has been identified as one that will transition to the new standalone company upon closing of the transaction. Until that time, L3Harris will continue its hiring activity within this business. 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 AV Field Engineer
IMS Technology Services LLC Garnet Valley, Pennsylvania
About IMS Technology Services LLC IMS is an industry-leading provider of award-winning systems integration and event solutions that foster collaboration, productivity, learning, and business communication. Our core goal is to provide the absolute best value in audiovisual systems integration, event staging and production, virtual and hybrid meetings and events, webcasting, project management, unified communications solutions, and AV managed services for the companies and organizations we serve. Our team accomplishes this by providing enhanced professional services, creativity, and innovative technologies with an old fashioned "can-do" attitude. Our creative design and technical teams always seek to go above and beyond our clients expectations. We are all about relationships, team building, process, performance, and accountability. Why Join Us: Be at the forefront of growth and innovation - Lead the appropriate strategies for rapid expansion and long-term success Shape what's next - Play a key role in defining the future of a high-potential AV provider in a fast-moving evolving market Work with a team that elevates you - Join an experienced, collaborative group that values your contributions and supports your professional growth and advancement Make a meaningful impact - Step into a high-impact role where your ideas and leadership will directly influence the company's trajectory and lasting success About the role IMS Field Engineers are experienced technicians specializing in system installation, cabling, wiring, and troubleshooting of audiovisual systems or IT networks. They are responsible for commissioning, configuring, and documenting the various systems that IMS Technology Services, Inc. installs. On-the-job training is ongoing, and development of the role will be ever evolving and challenging. Travel is required to project field locations regularly; however, the position is based out of our Garnet Valley, Pa Headquarters location. What you'll do Develop DSP program files based off scope of work, and system functional drawings that include audio processing such as compressors, limiters, gates, eq's, auto gain mixers, and AEC using industry software such as BiAmp, Q-SYS, BSS, Clearone, Etc. Modify Graphical User Interfaces to update text, images, button alignment, Etc. In consultation with the Software Developer update code to allow for communication of devices by changing port selection, baud rate/speed, IP address, IP tables Etc. These modifications would be made using industry software such as Crestron, BiAmp, Extron, AMX, Etc. Complete PC or mobile device documentation of software functionality in the form of customer user guides, internal functional explanations as relates to problem-solving, and communication with clients for unique operational walk-throughs. Device firmware and software updates as needed for Audio, Video, Networked Video, Conferencing, and Network Audio Visual equipment. Documentation and collection of device identifying information such as Serial Numbers, MAC Addresses, IP Addresses, Vlans, Port Allocations via spreadsheets or software. Configuration of Small Business and Enterprise networking equipment using web interfaces and/or terminal applications such as Putty. Create local area networks for the sole purposes of communication among devices being installed at a client location that is separate from their existing network infrastructure. Create WLANs for wireless communication of devices. Load, configure, test, and troubleshoot all system devices for intercommunication. Software simulation, testing, and documentation both in-house and on-site for quality assurance and customer approval purposes. After testing, provide a programming punch list for modifications and bugs to be fixed by the Software Developer. Configure and tune all devices installed to their optimal settings. Configure audio levels, processing, and Acoustic Echo Canceling for Digital Signal Processors such as BiAmp, Q-SYS, Clearone, Etc. With expert detail, complete via PC or mobile device all checklists, forms and documentation related to the entire test and tune process for system quality standards, system compliance, and system acceptance. Thoroughly test and force-fail all systems for quality control purposes both in-house and on-site. Consistent and timely collaboration and communication with Software Developers, Lead Installers, Managed Services, Project Managers, and System Engineers as to conditions with operational questions, systems concerns, troubleshooting, technical requirements, and potential short or long-term issues Collect backups of system software, configurations, usernames, passwords, logs in a centralized repository such as GIT. Support customer training sessions on installed systems. Evaluate existing systems and "reverse-engineer" the system to provide the Software Developer with accurate information to write a new code from scratch for functionality. Document, draw, and update system flow diagrams as needed to maintain accuracy of how systems are built. Qualifications CTS Certification and a minimum of 5 years of experience reading, understanding, and explaining audiovisual engineering system drawings. A thorough understanding of network standards/practices and line of business database and data management. Proficient with computers, including audiovisual applications of Poly, Crestron, BiAmp, AMX, and/or Q-SYS software. CCNA certification, in process of obtaining a CCNA certification or willing to secure within 1 year of employment. Experience with configuring Microsoft Teams and Zoom Rooms Experience with Microsoft OneNote, Excel, Word, Outlook, SharePoint Crestron Level 2 programming or higher. Q-Sys Audio 201 and Q-Sys Control 201 Understanding of how audiovisual systems function, and how to diagnose and resolve problems within those systems. Strong client and service-focused mindset; clear and concise written and verbal communication. Exceptional organizational skills & extreme attention to detail and documentation. Exceptional problem-solving skills and ability to communicate effectively with all levels of employees, including technical IT professionals. Expected to solve technical issues effectively and timely with the appropriate teams and clients. Experience and a professional knack for balancing heavy workloads at varying times throughout the year. Must have a valid driver's license, excellent driving record, and an ability to work nights and weekends as necessary, which will require US travel. Self-motivated employee who enjoys working with teams as much as on their own. PIccb4f93b5-
07/27/2026
Full time
About IMS Technology Services LLC IMS is an industry-leading provider of award-winning systems integration and event solutions that foster collaboration, productivity, learning, and business communication. Our core goal is to provide the absolute best value in audiovisual systems integration, event staging and production, virtual and hybrid meetings and events, webcasting, project management, unified communications solutions, and AV managed services for the companies and organizations we serve. Our team accomplishes this by providing enhanced professional services, creativity, and innovative technologies with an old fashioned "can-do" attitude. Our creative design and technical teams always seek to go above and beyond our clients expectations. We are all about relationships, team building, process, performance, and accountability. Why Join Us: Be at the forefront of growth and innovation - Lead the appropriate strategies for rapid expansion and long-term success Shape what's next - Play a key role in defining the future of a high-potential AV provider in a fast-moving evolving market Work with a team that elevates you - Join an experienced, collaborative group that values your contributions and supports your professional growth and advancement Make a meaningful impact - Step into a high-impact role where your ideas and leadership will directly influence the company's trajectory and lasting success About the role IMS Field Engineers are experienced technicians specializing in system installation, cabling, wiring, and troubleshooting of audiovisual systems or IT networks. They are responsible for commissioning, configuring, and documenting the various systems that IMS Technology Services, Inc. installs. On-the-job training is ongoing, and development of the role will be ever evolving and challenging. Travel is required to project field locations regularly; however, the position is based out of our Garnet Valley, Pa Headquarters location. What you'll do Develop DSP program files based off scope of work, and system functional drawings that include audio processing such as compressors, limiters, gates, eq's, auto gain mixers, and AEC using industry software such as BiAmp, Q-SYS, BSS, Clearone, Etc. Modify Graphical User Interfaces to update text, images, button alignment, Etc. In consultation with the Software Developer update code to allow for communication of devices by changing port selection, baud rate/speed, IP address, IP tables Etc. These modifications would be made using industry software such as Crestron, BiAmp, Extron, AMX, Etc. Complete PC or mobile device documentation of software functionality in the form of customer user guides, internal functional explanations as relates to problem-solving, and communication with clients for unique operational walk-throughs. Device firmware and software updates as needed for Audio, Video, Networked Video, Conferencing, and Network Audio Visual equipment. Documentation and collection of device identifying information such as Serial Numbers, MAC Addresses, IP Addresses, Vlans, Port Allocations via spreadsheets or software. Configuration of Small Business and Enterprise networking equipment using web interfaces and/or terminal applications such as Putty. Create local area networks for the sole purposes of communication among devices being installed at a client location that is separate from their existing network infrastructure. Create WLANs for wireless communication of devices. Load, configure, test, and troubleshoot all system devices for intercommunication. Software simulation, testing, and documentation both in-house and on-site for quality assurance and customer approval purposes. After testing, provide a programming punch list for modifications and bugs to be fixed by the Software Developer. Configure and tune all devices installed to their optimal settings. Configure audio levels, processing, and Acoustic Echo Canceling for Digital Signal Processors such as BiAmp, Q-SYS, Clearone, Etc. With expert detail, complete via PC or mobile device all checklists, forms and documentation related to the entire test and tune process for system quality standards, system compliance, and system acceptance. Thoroughly test and force-fail all systems for quality control purposes both in-house and on-site. Consistent and timely collaboration and communication with Software Developers, Lead Installers, Managed Services, Project Managers, and System Engineers as to conditions with operational questions, systems concerns, troubleshooting, technical requirements, and potential short or long-term issues Collect backups of system software, configurations, usernames, passwords, logs in a centralized repository such as GIT. Support customer training sessions on installed systems. Evaluate existing systems and "reverse-engineer" the system to provide the Software Developer with accurate information to write a new code from scratch for functionality. Document, draw, and update system flow diagrams as needed to maintain accuracy of how systems are built. Qualifications CTS Certification and a minimum of 5 years of experience reading, understanding, and explaining audiovisual engineering system drawings. A thorough understanding of network standards/practices and line of business database and data management. Proficient with computers, including audiovisual applications of Poly, Crestron, BiAmp, AMX, and/or Q-SYS software. CCNA certification, in process of obtaining a CCNA certification or willing to secure within 1 year of employment. Experience with configuring Microsoft Teams and Zoom Rooms Experience with Microsoft OneNote, Excel, Word, Outlook, SharePoint Crestron Level 2 programming or higher. Q-Sys Audio 201 and Q-Sys Control 201 Understanding of how audiovisual systems function, and how to diagnose and resolve problems within those systems. Strong client and service-focused mindset; clear and concise written and verbal communication. Exceptional organizational skills & extreme attention to detail and documentation. Exceptional problem-solving skills and ability to communicate effectively with all levels of employees, including technical IT professionals. Expected to solve technical issues effectively and timely with the appropriate teams and clients. Experience and a professional knack for balancing heavy workloads at varying times throughout the year. Must have a valid driver's license, excellent driving record, and an ability to work nights and weekends as necessary, which will require US travel. Self-motivated employee who enjoys working with teams as much as on their own. PIccb4f93b5-
Boeing
Phantom Works Mechanisms Design Engineer (Senior or Experienced)
Boeing Saint Charles, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing is seeking a Senior or Experienced Mechanism Design Engineer to support a Next Generation Cruise Missile program in St. Louis, MO. This program will require individuals who excel at interdisciplinary collaboration and systems thinking. The Next Generation Cruise Missile program seeks to provide new capabilities rapidly, through prototyping, to operate in unique environments with emphasis on safety, security and reliability. The program will also require collaboration and coordination to meet the requirements for multiple stakeholders BDS Phantom Works programs, develop complex, highly integrated, advanced systems, enabling future growth for Boeing and our Department of Defense (DoD) Customers. Individuals that aspire to lead technical teams, drive innovation, and take action to solve challenging problems, while shaping the future are ideal candidates for this position. If you thrive in a fast-paced culture, eagerly take action, set high standards for yourself, passionately honor commitments, strive to be the best and deliver results to achieve the unthinkable- this role is for you! Position Responsibilities Support the development and documentation of mechanical and fluid system and thermal environment requirements to establish the system design Support the development, maintenance or modification of system, component and installation designs/proposals to provide design documentation to downstream groups Perform and document system performance using computational analysis tools to validate and verify systems and components meet requirements and specifications Perform detail design development and modification of mechanical and fluid system installations Contribute to supplier development, test and production activates and directs the supplier to optimize integration and achieve program goals Prepare technical documents for mechanical components and systems Support system components' design/proposals standards to provide installation and detail documentation Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences) 5 or more years' related work experience or an equivalent combination of technical education and experience Experience with 3D solid modeling software applications (e.g. NX, Catia, CADD) Experience with mechanism /kinematic design This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain Special Program Access, for which the U.S. Government requires U.S. Citizenship only. Preferred Qualifications (Desired Skills and Experience): (Level 4): 9 or more years' related work experience or an equivalent combination of technical education and experience Experience with Unigraphics (UG) The ability to work in a multidisciplinary team Experience in developing solutions to a wide range of complex technical problems, requiring ingenuity and innovation Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $103,700 - $140,300 Level 4: $126,650 - $171,350 Applications for this position will be accepted until Aug. 07, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing is seeking a Senior or Experienced Mechanism Design Engineer to support a Next Generation Cruise Missile program in St. Louis, MO. This program will require individuals who excel at interdisciplinary collaboration and systems thinking. The Next Generation Cruise Missile program seeks to provide new capabilities rapidly, through prototyping, to operate in unique environments with emphasis on safety, security and reliability. The program will also require collaboration and coordination to meet the requirements for multiple stakeholders BDS Phantom Works programs, develop complex, highly integrated, advanced systems, enabling future growth for Boeing and our Department of Defense (DoD) Customers. Individuals that aspire to lead technical teams, drive innovation, and take action to solve challenging problems, while shaping the future are ideal candidates for this position. If you thrive in a fast-paced culture, eagerly take action, set high standards for yourself, passionately honor commitments, strive to be the best and deliver results to achieve the unthinkable- this role is for you! Position Responsibilities Support the development and documentation of mechanical and fluid system and thermal environment requirements to establish the system design Support the development, maintenance or modification of system, component and installation designs/proposals to provide design documentation to downstream groups Perform and document system performance using computational analysis tools to validate and verify systems and components meet requirements and specifications Perform detail design development and modification of mechanical and fluid system installations Contribute to supplier development, test and production activates and directs the supplier to optimize integration and achieve program goals Prepare technical documents for mechanical components and systems Support system components' design/proposals standards to provide installation and detail documentation Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences) 5 or more years' related work experience or an equivalent combination of technical education and experience Experience with 3D solid modeling software applications (e.g. NX, Catia, CADD) Experience with mechanism /kinematic design This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain Special Program Access, for which the U.S. Government requires U.S. Citizenship only. Preferred Qualifications (Desired Skills and Experience): (Level 4): 9 or more years' related work experience or an equivalent combination of technical education and experience Experience with Unigraphics (UG) The ability to work in a multidisciplinary team Experience in developing solutions to a wide range of complex technical problems, requiring ingenuity and innovation Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $103,700 - $140,300 Level 4: $126,650 - $171,350 Applications for this position will be accepted until Aug. 07, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
DevSecOps Agile Leaders (Experienced and Senior)
Boeing Saint Louis, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking DevSecOps Agile Leaders (Experienced and Senior) to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. The individuals chosen for these roles will work to define metrics, agile processes, improvement opportunities, and serve as scrum masters within the organization. Position Responsibilities: Collaborate with solution manager to define agile processes for DevSecOps teams Facilitate agile coaching, training, and metrics development Serve as a scrum mater to remove blockers, ensure team alignment, status the team's work, and provide Jira automation to improve processes Seek continuous improvement and hold teams accountable for meeting deliverables Drive agile execution across DevSecOps teams Mentor teams on agile best practices Work with internal and external customers to remove blockers and support efficient development of their products This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Bachelor's Degree 5+ years of experience leading Agile teams using Agile methodologies and tools such as Jira 5+ years working in an engineering discipline Familiarity to DevSecOps practices 2+ years with scripting, automation, or software development Outstanding written and verbal communication skills, as well as excellent interpersonal and team skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Mentorship/coaching abilities Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Ability to work in a multi-tasking environment while supporting multiple concurrent activities Experience in Defense/Aerospace Ability to work effectively in a collaborative team environment Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Experienced (Level 3): $126,650 - $171,350 Senior (Level 4): $160,650 - $217,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking DevSecOps Agile Leaders (Experienced and Senior) to join a proprietary Air Dominance program in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The primary statement of work for this team is to ensure successful integration of various software products into a consistent DevSecOps framework. The individuals chosen for these roles will work to define metrics, agile processes, improvement opportunities, and serve as scrum masters within the organization. Position Responsibilities: Collaborate with solution manager to define agile processes for DevSecOps teams Facilitate agile coaching, training, and metrics development Serve as a scrum mater to remove blockers, ensure team alignment, status the team's work, and provide Jira automation to improve processes Seek continuous improvement and hold teams accountable for meeting deliverables Drive agile execution across DevSecOps teams Mentor teams on agile best practices Work with internal and external customers to remove blockers and support efficient development of their products This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active Secret U.S. Security Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Bachelor's Degree 5+ years of experience leading Agile teams using Agile methodologies and tools such as Jira 5+ years working in an engineering discipline Familiarity to DevSecOps practices 2+ years with scripting, automation, or software development Outstanding written and verbal communication skills, as well as excellent interpersonal and team skills Ability to work in a multi-tasking environment while supporting multiple concurrent activities Ability to work effectively in a collaborative team environment Mentorship/coaching abilities Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Ability to work in a multi-tasking environment while supporting multiple concurrent activities Experience in Defense/Aerospace Ability to work effectively in a collaborative team environment Knowledge of networking principles Knowledge of required levels of rigor for safety-critical software Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Experienced (Level 3): $126,650 - $171,350 Senior (Level 4): $160,650 - $217,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
Lead, Senior or Experienced Electronic Systems Design, Integration, Analysis, and Test Engineers Sign on Bonus Potential
Boeing Saint Louis, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing is seeking to hire Lead, Senior or Experienced Electronic Systems Design, Integration, Analysis, and Test Engineers for current and emerging programs across the St. Louis region, including Berkeley, MO, Hazelwood, MO, St. Charles, MO, and Mascoutah, IL. You'll own or lead design and test aircraft electronic/electrical systems used on fighters, trainers, unmanned systems and weapon systems. You will translate customer requirements into architectures, define verification strategies, and help solve real-world integration problems from lab to flight. This position spans the technology development life cycle, including requirements generation, system design and implementation, integration, and test. As a key member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the success of our programs. Who we are: We are curious, creative and explore new ideas that move our company and industry forward. Invest in and care for our people, and we treat each other with respect even when we disagree. We feel comfortable raising concerns; we ask for help when needed; and we support our teammates because we can only achieve our shared mission by working together. Work with integrity and build trust by consistently meeting our commitments and communication transparently with customers, colleagues and stakeholders. We take pride in doing hard work and if we make a mistake, we own it, learn from it, and strive to improve. How we think and act each day keeps our people and those who rely on us safe. We take responsibility for our mission to design, build and service complex products with precision and sound decision making. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. This includes, but is not limited to: Air Dominance (AD) Phantom Works Boeing Global Services (BGS) Precision Engagement Systems (PES) Boeing Test and Evaluation (BT&E). Some example products within the portfolios include: Fighters (F-15, F/A-18, & F-22) F-47 T-7A Trainers MQ-25 JDAM Harpoon Come join our team and make a career out of making a difference Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design. Develop, document, and maintain electronic and electrical system requirements according to contract requirements and customer feedback Design hardware, software, and interface specifications Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop statement-of-work and technical performance specifications Analyze, translate, and implement customer requirements into system architecture, hardware, and software designs and interface specifications, showing traceability throughout the product lifecycle Defines test and validation approach to ensure system designs meet operational and functional requirements Troubleshoot integration and sustainment anomalies across hardware/software life cycles. Investigate emerging technologies to develop concepts for future product designs to meet projected requirements and for potential application to internal business strategies Monitor supplier performance to ensure system integrity and compliance with requirements Coordinate suppliers, test labs, and cross-discipline engineering to deliver on schedule and cost. Solve problems concerning fielded hardware and software over the entire product lifecycle Mentor junior engineers and contribute to process improvements and technical standards This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options. Potential signing bonus for eligible/qualified external candidates. Some programs may require domestic and/or international travel. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret or Top-Secret Clearance Post-Start is required. Special Program Access or other Government Access Requirements may be required for this position. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement Currently reside in OR willing to relocate to the St. Louis, Missouri region Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of technical education and experience Level 4: 9+ years of related work experience or an equivalent combination of technical education and experience Experience in the Aerospace Industry Experience using good communication, analytical, organizational skills, and demonstrated ability to work in a team environment Experience within a design/build or test team Experience creating, developing, and/or maintaining engineering processes Experience with electronic/electrical system design or test plan development and execution based on requirements Strong knowledge of data structures, system design, and architecture Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . At Boeing, we strive to deliver a best-in-class Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $112,200 - $151,800 Level 4: $136,850 - $185,150 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Nov. 20, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing is seeking to hire Lead, Senior or Experienced Electronic Systems Design, Integration, Analysis, and Test Engineers for current and emerging programs across the St. Louis region, including Berkeley, MO, Hazelwood, MO, St. Charles, MO, and Mascoutah, IL. You'll own or lead design and test aircraft electronic/electrical systems used on fighters, trainers, unmanned systems and weapon systems. You will translate customer requirements into architectures, define verification strategies, and help solve real-world integration problems from lab to flight. This position spans the technology development life cycle, including requirements generation, system design and implementation, integration, and test. As a key member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the success of our programs. Who we are: We are curious, creative and explore new ideas that move our company and industry forward. Invest in and care for our people, and we treat each other with respect even when we disagree. We feel comfortable raising concerns; we ask for help when needed; and we support our teammates because we can only achieve our shared mission by working together. Work with integrity and build trust by consistently meeting our commitments and communication transparently with customers, colleagues and stakeholders. We take pride in doing hard work and if we make a mistake, we own it, learn from it, and strive to improve. How we think and act each day keeps our people and those who rely on us safe. We take responsibility for our mission to design, build and service complex products with precision and sound decision making. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. This includes, but is not limited to: Air Dominance (AD) Phantom Works Boeing Global Services (BGS) Precision Engagement Systems (PES) Boeing Test and Evaluation (BT&E). Some example products within the portfolios include: Fighters (F-15, F/A-18, & F-22) F-47 T-7A Trainers MQ-25 JDAM Harpoon Come join our team and make a career out of making a difference Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design. Develop, document, and maintain electronic and electrical system requirements according to contract requirements and customer feedback Design hardware, software, and interface specifications Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop statement-of-work and technical performance specifications Analyze, translate, and implement customer requirements into system architecture, hardware, and software designs and interface specifications, showing traceability throughout the product lifecycle Defines test and validation approach to ensure system designs meet operational and functional requirements Troubleshoot integration and sustainment anomalies across hardware/software life cycles. Investigate emerging technologies to develop concepts for future product designs to meet projected requirements and for potential application to internal business strategies Monitor supplier performance to ensure system integrity and compliance with requirements Coordinate suppliers, test labs, and cross-discipline engineering to deliver on schedule and cost. Solve problems concerning fielded hardware and software over the entire product lifecycle Mentor junior engineers and contribute to process improvements and technical standards This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options. Potential signing bonus for eligible/qualified external candidates. Some programs may require domestic and/or international travel. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret or Top-Secret Clearance Post-Start is required. Special Program Access or other Government Access Requirements may be required for this position. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement Currently reside in OR willing to relocate to the St. Louis, Missouri region Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of technical education and experience Level 4: 9+ years of related work experience or an equivalent combination of technical education and experience Experience in the Aerospace Industry Experience using good communication, analytical, organizational skills, and demonstrated ability to work in a team environment Experience within a design/build or test team Experience creating, developing, and/or maintaining engineering processes Experience with electronic/electrical system design or test plan development and execution based on requirements Strong knowledge of data structures, system design, and architecture Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . At Boeing, we strive to deliver a best-in-class Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $112,200 - $151,800 Level 4: $136,850 - $185,150 The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Nov. 20, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
Structural Analysis Engineer - Experienced/ Senior
Boeing Hazelwood, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing St. Louis is building the future creating innovative solutions that will define the next generation of aerospace. We are currently seeking Experienced or Senior Structural Analysis Engineers to verify structural integrity by using analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance. These positions are located in the Greater St. Louis region and support current and emerging aircraft programs as part of the Air Dominance division in Boeing Defense Space and Security (BDS). Positions will be located at one of the listed locations: Berkeley, MO; Hazelwood, MO; St. Louis, MO; St. Charles, MO; Mascoutah, IL. Position Responsibilities: Level 3 Develop, integrate and document structural requirements to establish the system design Coordinate with other engineering groups to establish the product's environment Guide product design and verify structural integrity by using analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance Develop test plans and configurations, support test execution and analyze/report test results to validate and verify systems and components meet requirements and specifications Define and document certification and test results to substantiate for customers and regulatory agencies that requirements are satisfied Support in-service products by investigating failures and analyzing improvements Works under general direction Level 4 Lead development, integration and documentation of structural requirements to establish the system design Coordinate with other engineering groups to establish the product's environment Guide product design and verifies structural integrity by using and developing analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance Lead development of test plans and configurations, support test execution and analyze/report test results to validate and verify systems and components meet requirements and specifications Define and document certification and test results to substantiate for customers and regulatory agencies that requirements are satisfied Support in-service products by leading investigations into failures and analyzing improvements Develop analytical processes/tools to improve effectiveness, quality and efficiency of the development effort Works under minimal direction. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences) Level 3: 5 or more years' related work experience or an equivalent combination of technical education and experience Level 4: 9 or more years' related work experience or an equivalent combination of technical education and experience Experience performing hand calculations, using industry CAD system (NX/Teamcenter), FEM software (ABAQUS, PATRAN/NASTRAN, Stresscheck, Hyperworks) This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment. An interim and/or final U.S. Secret Clearance Post-Start is required. Preferred Qualifications (Desired Skills / Experience): Experience with Boeing Analysis Tools (CAESAR, Lifeworks, Mechanica, Common Structures Workstation) Structural analysis experience on military or commercial aircraft Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Shift This position is for1st and 2nd shift; however, variable shifts (1st, 2nd, and 3rd) may be required to support program objectives. It may be required to work weekends, holidays, and overtime. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Level 3: $103,700 - $140,300 Level 4: $126,650 - $171,350 Applications for this position will be accepted until Aug. 07, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing St. Louis is building the future creating innovative solutions that will define the next generation of aerospace. We are currently seeking Experienced or Senior Structural Analysis Engineers to verify structural integrity by using analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance. These positions are located in the Greater St. Louis region and support current and emerging aircraft programs as part of the Air Dominance division in Boeing Defense Space and Security (BDS). Positions will be located at one of the listed locations: Berkeley, MO; Hazelwood, MO; St. Louis, MO; St. Charles, MO; Mascoutah, IL. Position Responsibilities: Level 3 Develop, integrate and document structural requirements to establish the system design Coordinate with other engineering groups to establish the product's environment Guide product design and verify structural integrity by using analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance Develop test plans and configurations, support test execution and analyze/report test results to validate and verify systems and components meet requirements and specifications Define and document certification and test results to substantiate for customers and regulatory agencies that requirements are satisfied Support in-service products by investigating failures and analyzing improvements Works under general direction Level 4 Lead development, integration and documentation of structural requirements to establish the system design Coordinate with other engineering groups to establish the product's environment Guide product design and verifies structural integrity by using and developing analytical methods, finite element models/simulations and other analysis tools throughout the product lifecycle to develop the structural environment, characteristics and performance Lead development of test plans and configurations, support test execution and analyze/report test results to validate and verify systems and components meet requirements and specifications Define and document certification and test results to substantiate for customers and regulatory agencies that requirements are satisfied Support in-service products by leading investigations into failures and analyzing improvements Develop analytical processes/tools to improve effectiveness, quality and efficiency of the development effort Works under minimal direction. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences) Level 3: 5 or more years' related work experience or an equivalent combination of technical education and experience Level 4: 9 or more years' related work experience or an equivalent combination of technical education and experience Experience performing hand calculations, using industry CAD system (NX/Teamcenter), FEM software (ABAQUS, PATRAN/NASTRAN, Stresscheck, Hyperworks) This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment. An interim and/or final U.S. Secret Clearance Post-Start is required. Preferred Qualifications (Desired Skills / Experience): Experience with Boeing Analysis Tools (CAESAR, Lifeworks, Mechanica, Common Structures Workstation) Structural analysis experience on military or commercial aircraft Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Shift This position is for1st and 2nd shift; however, variable shifts (1st, 2nd, and 3rd) may be required to support program objectives. It may be required to work weekends, holidays, and overtime. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Level 3: $103,700 - $140,300 Level 4: $126,650 - $171,350 Applications for this position will be accepted until Aug. 07, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
Site Reliability Engineer (Associate or Experienced)
Boeing Saint Louis, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. . click apply for full job details
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. 1The Boeing Company is looking for an Site Reliability Engineer (Associate or Experienced) to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative individual to support the reliable operation, maintenance, and continuous improvement of mission-critical developer platforms used by Air Dominance engineering teams. This role will help operate and support GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related software delivery tools such as Artifactory and SonarQube. The selected candidate will work with senior engineers to monitor service health, respond to incidents, automate routine operational tasks, maintain documentation, and support secure, reliable developer workflows. Position Responsibilities: Support day-to-day operation of GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, and related developer tooling infrastructure Assist in the deployment and configuration of software development technologies, including build servers, version control systems, CI/CD pipelines, and automated testing frameworks Assist with cloud-based and on-premises infrastructure administration using approved Amazon Web Services (AWS), Microsoft Azure, Linux, virtualization, or container platform capabilities Monitor application, runner, database, storage, and host health using approved monitoring and alerting tools Triage and resolve routine service requests, access issues, pipeline infrastructure issues, and platform support tickets Assist with incident response during primary support hours and participate in after-hours support when required by mission need Help maintain operational runbooks, troubleshooting guides, architecture notes, and standard operating procedures Assist with backup monitoring, restore validation, patching, upgrades, and planned maintenance activities Support GitLab runner registration, runner health checks, runner queue troubleshooting, and basic capacity, KPI, and error budget reporting Create and maintain Infrastructure as Code (IaC), Ansible, and other scripts and automation to simplify infrastructure administration and software deployment under the guidance of more senior engineers Assist in setting up and maintaining development and production-like environments for developer tools and supporting application devices Assist delivery teams with information needed to establish and achieve SLIs, SLOs, SLAs, KPIs, and error budgets Support software development tool administration, maintenance, version upgrades, patch management, and integration between tools such as Jira, GitLab, Artifactory, Confluence, and SonarQube Contribute to metrics and dashboards that monitor system performance, software delivery health, and operational efficiency Follow approved change management, security, access control, and configuration management processes Collaborate with developers, project administrators, cybersecurity personnel, infrastructure teams, and program stakeholders Learn and apply Site Reliability Engineering practices, including incident management, service objectives, root cause analysis, automation, and continuous improvement Contribute to process improvements that help operationally field higher-quality end-to-end system software more frequently This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experience): This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment (An interim and/or final U.S. Secret Clearance Post-Start may be required) Ability to obtain access to Special Access Programs (SAP) Bachelor's Degree 2+ years of experience with software development and/or troubleshooting software Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) Experience with designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud) Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Linux system administration, software development, DevOps, DevSecOps, IT operations, or related technical work Experience or coursework with Python, Java, C#, C++, or similar programming or scripting languages Experience or coursework with Agile software development Experience using or supporting source control, issue tracking, documentation, or CI/CD tools Basic understanding of networking, operating systems, databases, software build processes, and secure system administration Ability to follow documented procedures and communicate technical status clearly Experience with GitLab administration, GitLab CI/CD, GitLab runners, or similar source control and CI/CD platforms Experience with Jira, Confluence, or other Atlassian administration and support activities Experience with PostgreSQL administration, SQL troubleshooting, backups, or restore procedures Experience writing scripts in Bash, Python, PowerShell, or a similar language Experience with AWS, Microsoft Azure, configuration management, Infrastructure as Code, Ansible, containers, virtualization, or cloud-native tooling Experience with Artifactory, SonarQube, Jenkins, or similar software delivery tools Familiarity with monitoring, alerting, logging, incident response, and operational metrics Familiarity with Agile software development and secure software delivery practices Ability to obtain Security+ certification Strong customer service mindset and ability to support engineering teams in a mission-focused environment Strong written and verbal communication skills Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Associate (Level 2): $99,450 - $134,550 Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Applications for this position will be accepted until Jul. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. . click apply for full job details
Boeing
Entry and Associate Design and Analysis Engineers (Electronic Sys Design & Analy)
Boeing Daytona Beach, Florida
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Entry and Associate Level Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. An interim or final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Preferred Qualifications (Desired Skills/Experience): Level 2: 2+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 1: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics, or chemistry (e.g. Bachelor), or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 2: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 1 (Entry): $68,850 - $93,150 Level 2 (Associate): $85,000 - $115,000 Applications for this position will be accepted until Jul. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: . click apply for full job details
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Entry and Associate Level Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. An interim or final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Preferred Qualifications (Desired Skills/Experience): Level 2: 2+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 1: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics, or chemistry (e.g. Bachelor), or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 2: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 1 (Entry): $68,850 - $93,150 Level 2 (Associate): $85,000 - $115,000 Applications for this position will be accepted until Jul. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: . click apply for full job details

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