Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
05/26/2026
Full time
Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
05/26/2026
Full time
Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
05/26/2026
Full time
Job DescriptionJob Description Job Title: Autonomous Vehicle Data Collection Driver / Operator - San Francisco, CA & Sunnyvale Ca Location: San Francisco & Sunnyvale, CA Work Environment: In-person Expected Pay: $28.00 USD per hour Schedule: Full time (30+ hours/week) Assignment Length: Contract (No end date, Contract can continue depending on annual performance review) Job Description JH Careers is partnering with a leading technology company at the forefront of autonomous vehicle (AV) development to support real-world testing and innovation in self-driving technology. We are hiring Vehicle Operators / Data Collection Drivers to play a pivotal role in gathering high-quality data from test vehicles. You'll operate equipped vehicles on public roads to collect critical sensor and performance data that directly improves AV systems and enables new product advancements. Note: This is not driving a fully autonomous vehicle-you'll be in full control while supporting advanced testing protocols. This is a rare opportunity to join and help build the vehicle operations team from the ground up at a fast-growing AV tech leader. If you're a reliable, safety-focused driver with keen observation skills and interest in cutting-edge mobility tech, this contract role offers meaningful impact in a dynamic environment. Available Shifts (select one set): AM: 6:00 AM - 2:30 PM (Wed-Sun, Thur-Mon, or Sat-Wed) PM: 2:00 PM - 10:30 PM (Tue-Sat, Wed-Sun, Thur-Mon, Fri-Tue, Sat-Wed, or Sun-Thu) Key Responsibilities: Safely drive test vehicles 4-8 hours per day on assigned public routes, strictly adhering to all safety guidelines. Conduct daily pre- and post-drive vehicle inspections to verify roadworthiness, cleanliness, and report any issues. Use basic software interfaces (including Linux/command line tools) to initiate and monitor real-time data collection. Observe and accurately log road events, system behaviors, anomalies, and other relevant details. Provide clear written and verbal feedback to engineering teams to support continuous AV improvements. Support vehicle logistics tasks such as movement, maintenance scheduling, and secure storage. Required Qualifications & Skills: Valid U.S. driver's license with a clean driving record. Proven ability to drive safely and comfortably for extended periods in varied conditions (traffic, weather, urban/highway). Basic comfort with Linux/command line operations (training provided for quick learners). Exceptional attention to detail, strong observational skills, and unwavering commitment to safety. Interest in autonomous vehicles, ADAS, or related tech is a strong plus (prior AV experience helpful but not required). Professional attitude, reliability, and ability to thrive in a collaborative, fast-paced tech setting. Why This Role? Contribute directly to the future of autonomous driving by collecting essential data that drives product enhancements and new innovations. Be one of the first operators in a growing vehicle operations group at an innovative AV company-gain hands-on exposure to advanced vehicle technology while working with talented engineers. Competitive hourly pay in a contract role with potential for impact and growth in the booming AV sector. Ready to drive innovation? Apply now through JH Careers! Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.Company DescriptionJH Careers, LLC is a staffing solutions provider dedicated to connecting premier organizations across the United States with highly skilled professionals. We offer contract, contract-to-hire and full-time staffing solutions to premier organizations nationwide that require quality candidates on demand. JH Careers, LLC specializes in the rapidly evolving fields of artificial intelligence (AI) and autonomous vehicle industries.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
05/26/2026
Full time
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
05/26/2026
Full time
Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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 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: Assoc. Manager, Electrical Engineering - Frontline Manager Job Code: 36856 Job Location: Camden, NJ (on-site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris is dedicated to recruiting and developing diverse, 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. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: The Electrical Engineering Frontline Manager is responsible for supervising and leading a team of Electrical Engineers, supporting planning, research & development, and execution of all engineering development tasking on projects, pursuits, and programs. The role requires technical and leadership knowledge in the design, development, and integration of circuit card assemblies and other electronics equipment and products for DoD applications. Responsibilities of the role include functional staffing (manpower/resource planning), recruiting, training, talent development, engagement, and retention of employees, and requires proactive collaboration with functional and business leadership teams to support business and program requirements and demands. The role is hands-on, requiring regular technical engagement on programs, and taking on individual tasking as needed. It requires ability to communicate with leadership regarding matters of importance to the function or business area and involves conducting briefings with senior leaders on occasion. Essential Functions: Leads Electrical Engineering development efforts, managing technical scope, and delivering to technical, cost, and schedule objectives Provide technical direction and oversight to individuals on the engineering team and to program teams, insuring high standards of technical competence and achievement. Guide the development and delivery of system hardware and CCA/electronics development, providing task-level contributions to programs as needed. Focus on team growth and development, planning and implementing strategies for adding breadth and depth of knowledge to the engineering team. Responsible for providing input to program bids and generating bases of estimate. Manage and direct the day-to-day activities of the Electrical Engineering team and make individual work assignments. Monitor individual performance and prepare formal performance assessments. Support of team for field service assignments. Perform other related duties as assigned. Ability to obtain and maintain security clearance at the DOD Secret level. Qualifications: B.S. in Electrical Engineering or comparable discipline with a minimum 6 years of experience in an engineering development environment; or Graduate Degree with a minimum of 4 years of prior related experience, in lieu of a 1degree, minimum of 10 years of prior related experience. Proficient in EVMS, Control Account Management and design team leadership. Minimum of 2 years of prior experience in leading and managing engineering personnel. Preferred Additional Skills: Active Secret clearance preferred. Experience in Siemens EDM or comparable software. Professional Knowledge: Advanced level of technical engineering skill/knowledge and the ability to keep up with current developments and trends in areas of expertise. Leadership: Demonstrated skills and abilities needed to coordinate, facilitate, and participate in a collaborative approach to the completion of tasks or assignments. Proven capability to solve technical problems while meeting the need of the customer. Experience working in a matrix environment; getting things done through others. Excellent interpersonal and communication skills. Works well with management, peers and direct reports. Proficient in technical writing to include specifications, technical proposals and white papers, design reviews and technical presentations. In compliance with pay transparency requirements, the salary range for this role is $106,500- $170,000. 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. 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.
05/26/2026
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: Assoc. Manager, Electrical Engineering - Frontline Manager Job Code: 36856 Job Location: Camden, NJ (on-site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris is dedicated to recruiting and developing diverse, 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. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. Job Description: The Electrical Engineering Frontline Manager is responsible for supervising and leading a team of Electrical Engineers, supporting planning, research & development, and execution of all engineering development tasking on projects, pursuits, and programs. The role requires technical and leadership knowledge in the design, development, and integration of circuit card assemblies and other electronics equipment and products for DoD applications. Responsibilities of the role include functional staffing (manpower/resource planning), recruiting, training, talent development, engagement, and retention of employees, and requires proactive collaboration with functional and business leadership teams to support business and program requirements and demands. The role is hands-on, requiring regular technical engagement on programs, and taking on individual tasking as needed. It requires ability to communicate with leadership regarding matters of importance to the function or business area and involves conducting briefings with senior leaders on occasion. Essential Functions: Leads Electrical Engineering development efforts, managing technical scope, and delivering to technical, cost, and schedule objectives Provide technical direction and oversight to individuals on the engineering team and to program teams, insuring high standards of technical competence and achievement. Guide the development and delivery of system hardware and CCA/electronics development, providing task-level contributions to programs as needed. Focus on team growth and development, planning and implementing strategies for adding breadth and depth of knowledge to the engineering team. Responsible for providing input to program bids and generating bases of estimate. Manage and direct the day-to-day activities of the Electrical Engineering team and make individual work assignments. Monitor individual performance and prepare formal performance assessments. Support of team for field service assignments. Perform other related duties as assigned. Ability to obtain and maintain security clearance at the DOD Secret level. Qualifications: B.S. in Electrical Engineering or comparable discipline with a minimum 6 years of experience in an engineering development environment; or Graduate Degree with a minimum of 4 years of prior related experience, in lieu of a 1degree, minimum of 10 years of prior related experience. Proficient in EVMS, Control Account Management and design team leadership. Minimum of 2 years of prior experience in leading and managing engineering personnel. Preferred Additional Skills: Active Secret clearance preferred. Experience in Siemens EDM or comparable software. Professional Knowledge: Advanced level of technical engineering skill/knowledge and the ability to keep up with current developments and trends in areas of expertise. Leadership: Demonstrated skills and abilities needed to coordinate, facilitate, and participate in a collaborative approach to the completion of tasks or assignments. Proven capability to solve technical problems while meeting the need of the customer. Experience working in a matrix environment; getting things done through others. Excellent interpersonal and communication skills. Works well with management, peers and direct reports. Proficient in technical writing to include specifications, technical proposals and white papers, design reviews and technical presentations. In compliance with pay transparency requirements, the salary range for this role is $106,500- $170,000. 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. 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.
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
05/26/2026
Full time
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
05/25/2026
Full time
Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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 Lead AI Engineer (FM Hosting, LLM Inference) 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. 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).
05/25/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) 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. 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).
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. In this position Responsible for leading new product launch - Material and Logistics strategy and ensuring alignment across manufacturing, logistics, and supply chain systems. Collaborates with cross functional teams to drive forward model planning, business process alignment, and change management. Designs, implements, and supports material planning and logistics control systems (MRP, WMS, TMS, ASRS, AGV), oversees system testing and integration, optimizes route and process flows, delivers training, and tracks KPIs to support efficient launches and continuous improvement. What You'll Do Lead and coordinate the strategy for new product launches, ensuring seamless integration with manufacturing processes. Collaborate with cross-functional teams (product development, engineering, manufacturing, supply chain) to define and align the forward model strategy. Facilitate change management initiatives, ensuring smooth adoption of new processes and strategies. Create and deliver training programs to ensure teams understand and adhere to new strategies and process improvements. Analyze market trends, technology advancements, and competitive landscape to inform strategic decisions and drive forward model planning. Design, develop, and maintain MRP/WMS/TMS/ASRS/AGV control systems focusing on Material Planning and Logistics functions Lead MP&L business process alignment matching with MRP/WMS/TMS/ASRS/AGV control system flows Support system UAT test, co-work with ERP/MRP system providers, Plant IT teams, and Cross-functional teams Design route planning, monitor, and improve for the most optimized process flows/ information flows Track and report on KPIs related to product launches, process efficiency, and continuous improvement efforts. You will have: AS degree or equivalent in Industrial Engineering, Manufacturing Engineering, Business Administration, or a related field. 3+ years of experience in Logistics process improvement, strategic planning, and Experience in forward model strategy development and implementation. 3+ years of experience in ERP systems (e.g., SAP, Oracle) and product lifecycle management (PLM) software. Better if you have: Bachelor's or above degree Mandarin fluency preferred Strong background in Lean, Six Sigma, or other process improvement methodologies; Six Sigma Black Belt or Green Belt certification is highly desirable. Proven experience in leading cross-functional teams Strong project management skills and experience with Agile or similar methodologies. Experience with performance measurement and KPI development. Willingness to pursue continuous learning in the areas of process optimization, strategy development, and leadership. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 8 and ranges from $96,720-162,120. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
05/25/2026
Full time
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. In this position Responsible for leading new product launch - Material and Logistics strategy and ensuring alignment across manufacturing, logistics, and supply chain systems. Collaborates with cross functional teams to drive forward model planning, business process alignment, and change management. Designs, implements, and supports material planning and logistics control systems (MRP, WMS, TMS, ASRS, AGV), oversees system testing and integration, optimizes route and process flows, delivers training, and tracks KPIs to support efficient launches and continuous improvement. What You'll Do Lead and coordinate the strategy for new product launches, ensuring seamless integration with manufacturing processes. Collaborate with cross-functional teams (product development, engineering, manufacturing, supply chain) to define and align the forward model strategy. Facilitate change management initiatives, ensuring smooth adoption of new processes and strategies. Create and deliver training programs to ensure teams understand and adhere to new strategies and process improvements. Analyze market trends, technology advancements, and competitive landscape to inform strategic decisions and drive forward model planning. Design, develop, and maintain MRP/WMS/TMS/ASRS/AGV control systems focusing on Material Planning and Logistics functions Lead MP&L business process alignment matching with MRP/WMS/TMS/ASRS/AGV control system flows Support system UAT test, co-work with ERP/MRP system providers, Plant IT teams, and Cross-functional teams Design route planning, monitor, and improve for the most optimized process flows/ information flows Track and report on KPIs related to product launches, process efficiency, and continuous improvement efforts. You will have: AS degree or equivalent in Industrial Engineering, Manufacturing Engineering, Business Administration, or a related field. 3+ years of experience in Logistics process improvement, strategic planning, and Experience in forward model strategy development and implementation. 3+ years of experience in ERP systems (e.g., SAP, Oracle) and product lifecycle management (PLM) software. Better if you have: Bachelor's or above degree Mandarin fluency preferred Strong background in Lean, Six Sigma, or other process improvement methodologies; Six Sigma Black Belt or Green Belt certification is highly desirable. Proven experience in leading cross-functional teams Strong project management skills and experience with Agile or similar methodologies. Experience with performance measurement and KPI development. Willingness to pursue continuous learning in the areas of process optimization, strategy development, and leadership. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 8 and ranges from $96,720-162,120. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
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: Lead, Software Engineering - Full Stack Developer Job Code: 36949 Job Location: Palm Bay, 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: We are seeking a highly skilled and motivated Lead Full Stack Software Engineer with technical leadership experience to join our team. The ideal candidate will bring strong expertise in modern web application development using React and Python, along with proven experience in software architecture, customer engagement, and strategic product direction. This onsite role in Palm Bay, Florida and will help drive the technical vision of a mission-focused product, translating customer needs into scalable, secure, and maintainable solutions. Essential Functions: Lead the design, development, integration, and sustainment of full stack web applications using React for frontend development and Python for backend services and APIs. Define and maintain software architecture, technical standards, and engineering best practices to ensure solutions are scalable, secure, and maintainable. Drive the strategic technical vision and roadmap for the product in alignment with customer needs, mission priorities, and organizational goals. Engage directly with customers and stakeholders to gather requirements, refine priorities, and translate operational needs into technical solutions. Provide technical leadership across the development lifecycle, including solution design, task planning, design reviews, mentoring, and issue resolution. Produce architectural designs, technical roadmaps, documentation, and presentations for leadership, engineering teams, and customers. Collaborate within a dynamic team environment and adapt to evolving mission requirements. Support deployment, testing, troubleshooting, and continuous improvement of software solutions. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI with Polygraph is required. Preferred Additional Skills: Strong experience in full stack web development. Hands-on experience with React and modern front-end development practices. Strong Python experience for backend services, APIs, and application development. Demonstrated technical leadership experience, including leading development efforts and guiding engineering decisions. Experience with software architecture, system design, and application integration. Proven ability to interface with customers, gather requirements, and communicate technical concepts to both technical and non-technical stakeholders. Experience developing product roadmaps and aligning implementation plans with strategic objectives. Collaborative team player with experience working in a dynamic environment. 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.
05/25/2026
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: Lead, Software Engineering - Full Stack Developer Job Code: 36949 Job Location: Palm Bay, 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: We are seeking a highly skilled and motivated Lead Full Stack Software Engineer with technical leadership experience to join our team. The ideal candidate will bring strong expertise in modern web application development using React and Python, along with proven experience in software architecture, customer engagement, and strategic product direction. This onsite role in Palm Bay, Florida and will help drive the technical vision of a mission-focused product, translating customer needs into scalable, secure, and maintainable solutions. Essential Functions: Lead the design, development, integration, and sustainment of full stack web applications using React for frontend development and Python for backend services and APIs. Define and maintain software architecture, technical standards, and engineering best practices to ensure solutions are scalable, secure, and maintainable. Drive the strategic technical vision and roadmap for the product in alignment with customer needs, mission priorities, and organizational goals. Engage directly with customers and stakeholders to gather requirements, refine priorities, and translate operational needs into technical solutions. Provide technical leadership across the development lifecycle, including solution design, task planning, design reviews, mentoring, and issue resolution. Produce architectural designs, technical roadmaps, documentation, and presentations for leadership, engineering teams, and customers. Collaborate within a dynamic team environment and adapt to evolving mission requirements. Support deployment, testing, troubleshooting, and continuous improvement of software solutions. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI with Polygraph is required. Preferred Additional Skills: Strong experience in full stack web development. Hands-on experience with React and modern front-end development practices. Strong Python experience for backend services, APIs, and application development. Demonstrated technical leadership experience, including leading development efforts and guiding engineering decisions. Experience with software architecture, system design, and application integration. Proven ability to interface with customers, gather requirements, and communicate technical concepts to both technical and non-technical stakeholders. Experience developing product roadmaps and aligning implementation plans with strategic objectives. Collaborative team player with experience working in a dynamic environment. 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.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge . click apply for full job details
05/25/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge . click apply for full job details
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: Lead, Electrical Engineer Job Code: 35639 Job Location: Rockwall, TX Job Schedule: 9/80 Job Description: L3Harris is seeking a Lead Antenna Design Engineer to lead and manage the design of ultrawideband antenna and electronically scanned array (ESA) systems across various lifecycle phases for our Advanced Aperture Solution group. The Lead Antenna Designer will maintain responsibility for meeting project targets, performing engineering tasks, and lead engineering activities across multiple disciplines. The Lead Antenna Designer will interact with customers to determine needs/requirements, guide architecture design, and lead multiple programs to ensure technical requirements are met or exceeded. This role requires effective communication skills and the ability to present complex solutions to diverse audiences. The Advanced Aperture Solutions (AAS) group is quick reaction capability (QRC) aperture solutions business based in Rockwall, TX. AAS is responsible for the design and development of high-gain antenna systems for military airborne, maritime, and ground platforms. Our team has State-of-the-Art design tools validated with real hardware prototypes including CST Design Studio Antenna Modeling Software, Circuit Board design software, MATLAB software, SolidWorks software, and a PCB Laser that produces multiple same-day iterations of antenna designs. We ultimately provide critical ISR capabilities to fight and win in the SIGINT operating environment. Essential Functions: Lead complex antenna and RF/Microwave development including research, detailed design, and analysis for airborne, maritime, and ground systems. Prepare and conduct technical design review briefings. Assess and report on technical project status, risks, and issues. Oversee product development, technical activities, and system integration to ensure designs meet customer requirements. Perform RF front end level requirements, design, test, and integration of antenna systems for various platforms. Collaborate with design teams, test, production, program management, and customers to execute systems and deliver high-quality solutions. Support business development activities including planning, customer visits, technical briefings, and customer demonstrations. Draw on internal resources to generate accurate estimates for NRE and recurring costs. Make decisions on high-level/high-impact technical issues. Write and release system specifications, test procedures, and qualification reports. Work in a fast-paced environment, focusing on problem resolution and process improvement. Interface with customers on technical and contractual matters, ensuring satisfaction and business growth. Ability to travel up to 10%. Qualifications: Bachelors in engineering or other related field with 9 years of related experience. Graduate degree and a minimum of 7 years of related experience. In lieu of a degree, minimum of 13 years of prior related experience. Position requires the ability to obtain and maintain a DoD Secret Security Clearance Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.), S-parameters, matching networks, filtering (bandwidth, types, implementations, etc.). Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands. Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc. Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools. Preferred Additional Skills: Phased array design experience preferred. Antenna Range measurement techniques utilizing Planar Near Field Scanners, Spherical Near Field Scanners, Compact Ranges, Far Field Ranges, etc. Familiarity with RF technologies (e.g., radar, communication, cellular, WiFi, SATCOM). Advanced user of antenna and RF lab equipment (Vector Network Analyzers, Spectrum Analyzers, Signal Generators, Noise Figure Meters, Power Sensors, etc). An understanding of programming languages (MATLAB, C/C++, LabVIEW, Qt, Python). Experience with wiring/block diagrams, mechanical drawings, and PCB schematic/layout drawings. Familiarity with direction finding (DF) systems, and digital beamforming. Ability to work both independently and within a team environment. 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.
05/25/2026
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: Lead, Electrical Engineer Job Code: 35639 Job Location: Rockwall, TX Job Schedule: 9/80 Job Description: L3Harris is seeking a Lead Antenna Design Engineer to lead and manage the design of ultrawideband antenna and electronically scanned array (ESA) systems across various lifecycle phases for our Advanced Aperture Solution group. The Lead Antenna Designer will maintain responsibility for meeting project targets, performing engineering tasks, and lead engineering activities across multiple disciplines. The Lead Antenna Designer will interact with customers to determine needs/requirements, guide architecture design, and lead multiple programs to ensure technical requirements are met or exceeded. This role requires effective communication skills and the ability to present complex solutions to diverse audiences. The Advanced Aperture Solutions (AAS) group is quick reaction capability (QRC) aperture solutions business based in Rockwall, TX. AAS is responsible for the design and development of high-gain antenna systems for military airborne, maritime, and ground platforms. Our team has State-of-the-Art design tools validated with real hardware prototypes including CST Design Studio Antenna Modeling Software, Circuit Board design software, MATLAB software, SolidWorks software, and a PCB Laser that produces multiple same-day iterations of antenna designs. We ultimately provide critical ISR capabilities to fight and win in the SIGINT operating environment. Essential Functions: Lead complex antenna and RF/Microwave development including research, detailed design, and analysis for airborne, maritime, and ground systems. Prepare and conduct technical design review briefings. Assess and report on technical project status, risks, and issues. Oversee product development, technical activities, and system integration to ensure designs meet customer requirements. Perform RF front end level requirements, design, test, and integration of antenna systems for various platforms. Collaborate with design teams, test, production, program management, and customers to execute systems and deliver high-quality solutions. Support business development activities including planning, customer visits, technical briefings, and customer demonstrations. Draw on internal resources to generate accurate estimates for NRE and recurring costs. Make decisions on high-level/high-impact technical issues. Write and release system specifications, test procedures, and qualification reports. Work in a fast-paced environment, focusing on problem resolution and process improvement. Interface with customers on technical and contractual matters, ensuring satisfaction and business growth. Ability to travel up to 10%. Qualifications: Bachelors in engineering or other related field with 9 years of related experience. Graduate degree and a minimum of 7 years of related experience. In lieu of a degree, minimum of 13 years of prior related experience. Position requires the ability to obtain and maintain a DoD Secret Security Clearance Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.), S-parameters, matching networks, filtering (bandwidth, types, implementations, etc.). Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands. Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc. Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools. Preferred Additional Skills: Phased array design experience preferred. Antenna Range measurement techniques utilizing Planar Near Field Scanners, Spherical Near Field Scanners, Compact Ranges, Far Field Ranges, etc. Familiarity with RF technologies (e.g., radar, communication, cellular, WiFi, SATCOM). Advanced user of antenna and RF lab equipment (Vector Network Analyzers, Spectrum Analyzers, Signal Generators, Noise Figure Meters, Power Sensors, etc). An understanding of programming languages (MATLAB, C/C++, LabVIEW, Qt, Python). Experience with wiring/block diagrams, mechanical drawings, and PCB schematic/layout drawings. Familiarity with direction finding (DF) systems, and digital beamforming. Ability to work both independently and within a team environment. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineering - Full Stack Developer Job Code: 36949 Job Location: Palm Bay, 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: We are seeking a highly skilled and motivated Lead Full Stack Software Engineer with technical leadership experience to join our team. The ideal candidate will bring strong expertise in modern web application development using React and Python, along with proven experience in software architecture, customer engagement, and strategic product direction. This onsite role in Palm Bay, Florida and will help drive the technical vision of a mission-focused product, translating customer needs into scalable, secure, and maintainable solutions. Essential Functions: Lead the design, development, integration, and sustainment of full stack web applications using React for frontend development and Python for backend services and APIs. Define and maintain software architecture, technical standards, and engineering best practices to ensure solutions are scalable, secure, and maintainable. Drive the strategic technical vision and roadmap for the product in alignment with customer needs, mission priorities, and organizational goals. Engage directly with customers and stakeholders to gather requirements, refine priorities, and translate operational needs into technical solutions. Provide technical leadership across the development lifecycle, including solution design, task planning, design reviews, mentoring, and issue resolution. Produce architectural designs, technical roadmaps, documentation, and presentations for leadership, engineering teams, and customers. Collaborate within a dynamic team environment and adapt to evolving mission requirements. Support deployment, testing, troubleshooting, and continuous improvement of software solutions. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI with Polygraph is required. Preferred Additional Skills: Strong experience in full stack web development. Hands-on experience with React and modern front-end development practices. Strong Python experience for backend services, APIs, and application development. Demonstrated technical leadership experience, including leading development efforts and guiding engineering decisions. Experience with software architecture, system design, and application integration. Proven ability to interface with customers, gather requirements, and communicate technical concepts to both technical and non-technical stakeholders. Experience developing product roadmaps and aligning implementation plans with strategic objectives. Collaborative team player with experience working in a dynamic environment. 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.
05/25/2026
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: Lead, Software Engineering - Full Stack Developer Job Code: 36949 Job Location: Palm Bay, 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: We are seeking a highly skilled and motivated Lead Full Stack Software Engineer with technical leadership experience to join our team. The ideal candidate will bring strong expertise in modern web application development using React and Python, along with proven experience in software architecture, customer engagement, and strategic product direction. This onsite role in Palm Bay, Florida and will help drive the technical vision of a mission-focused product, translating customer needs into scalable, secure, and maintainable solutions. Essential Functions: Lead the design, development, integration, and sustainment of full stack web applications using React for frontend development and Python for backend services and APIs. Define and maintain software architecture, technical standards, and engineering best practices to ensure solutions are scalable, secure, and maintainable. Drive the strategic technical vision and roadmap for the product in alignment with customer needs, mission priorities, and organizational goals. Engage directly with customers and stakeholders to gather requirements, refine priorities, and translate operational needs into technical solutions. Provide technical leadership across the development lifecycle, including solution design, task planning, design reviews, mentoring, and issue resolution. Produce architectural designs, technical roadmaps, documentation, and presentations for leadership, engineering teams, and customers. Collaborate within a dynamic team environment and adapt to evolving mission requirements. Support deployment, testing, troubleshooting, and continuous improvement of software solutions. Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI with Polygraph is required. Preferred Additional Skills: Strong experience in full stack web development. Hands-on experience with React and modern front-end development practices. Strong Python experience for backend services, APIs, and application development. Demonstrated technical leadership experience, including leading development efforts and guiding engineering decisions. Experience with software architecture, system design, and application integration. Proven ability to interface with customers, gather requirements, and communicate technical concepts to both technical and non-technical stakeholders. Experience developing product roadmaps and aligning implementation plans with strategic objectives. Collaborative team player with experience working in a dynamic environment. 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.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is seeking a Sr. Regional Design Manager to join its design team. As a Sr. Regional Design Manager, you will be part of a global engineering leadership team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, Security and Control Engineers. AWS self-performs engineering on the majority of our capacity delivery projects. This unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes. You will have impact on the design direction and ability to improve design delivery for an entire region, while establishing design procedures and protocols for the development of future systems. This role is an opportunity to collaborate with many facets of the AWS organization, external engineering resources and regulatory agencies. Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. This role sits within the global team responsible for the design and operation of critical Data Center facilities located throughout the world. Our Design Team is on the forefront of creating and delivering the most innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of Cloud Computing. We continue to grow and are looking for team members that can support our speed to market, raise the bar, and have a desire for professional growth and continuous learning. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we highly support continued learning opportunities and focus on continued employee development. Key job responsibilities • Lead project teams of discipline leads to deliver quality and globally consistent DC designs and maintaining a high level of quality within budget and schedule. • Able to influence internal stakeholders, internal customers (operations), and external consultants to address program wide design changes • Manage escalations • identify multi-disciplinary design decisions • Understanding of design development, design change management, permitting (working with AHJs), and implementation (working with CMs/RFIs/Submittals) lifecycle • Project management skills (critical path schedule management, risk management, quality management, cost management) • Design consultant management including procurement, contracting, deliverable management, and payments • Effectively and consistently communicate with AWS Leadership and external project partners, including the creation, tracking & reporting of metrics related to schedule, cost, and quality Throughout the lifecycle of the project. • Conversant in Amazon LPs. • Manage competing priorities. • Drive speed, quality, and simplification by eliminating rework loops, reducing and automating manual work through standardization and automation. • Create global best practice documentation and facilitate sharing across the globe. • Ability to motivate others to achieve impeccable quality in an explosive growth and deadline-driven environment. • Travel for site assessments, internal design meetings, construction review, and interfacing with design consultants. Anticipated travel not to exceed 25%. International travel may be needed. A day in the life •Leading design team meetings to coordinate cross-disciplinary decisions •Reviewing and approving design documents and changes •Managing consultant deliverables and performance •Responding to technical escalations from various teams •Collaborating with procurement and construction teams on implementation •Coordinating with AHJs for permitting requirements •Tracking project metrics for schedule, cost, and quality •Creating and updating best practice documentation •Participating in stakeholder meetings •Conducting site assessments and construction reviews •Managing critical path schedules and risk mitigation •Mentoring team members on design standards •Analyzing design optimization opportunities •Reviewing RFIs and submittal responses About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Knowledge of both mechanical and electrical equipment or design related to data center electrical and mechanical topology - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities - Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers - Bachelor's degree in Architecture, Construction Management, Engineering, or a related field PREFERRED QUALIFICATIONS - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Professional Engineering or Architectural License Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 116 000.00 USD annually USA, WA, Seattle - 116 000.00 USD annually
05/25/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is seeking a Sr. Regional Design Manager to join its design team. As a Sr. Regional Design Manager, you will be part of a global engineering leadership team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, Security and Control Engineers. AWS self-performs engineering on the majority of our capacity delivery projects. This unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes. You will have impact on the design direction and ability to improve design delivery for an entire region, while establishing design procedures and protocols for the development of future systems. This role is an opportunity to collaborate with many facets of the AWS organization, external engineering resources and regulatory agencies. Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. This role sits within the global team responsible for the design and operation of critical Data Center facilities located throughout the world. Our Design Team is on the forefront of creating and delivering the most innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of Cloud Computing. We continue to grow and are looking for team members that can support our speed to market, raise the bar, and have a desire for professional growth and continuous learning. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we highly support continued learning opportunities and focus on continued employee development. Key job responsibilities • Lead project teams of discipline leads to deliver quality and globally consistent DC designs and maintaining a high level of quality within budget and schedule. • Able to influence internal stakeholders, internal customers (operations), and external consultants to address program wide design changes • Manage escalations • identify multi-disciplinary design decisions • Understanding of design development, design change management, permitting (working with AHJs), and implementation (working with CMs/RFIs/Submittals) lifecycle • Project management skills (critical path schedule management, risk management, quality management, cost management) • Design consultant management including procurement, contracting, deliverable management, and payments • Effectively and consistently communicate with AWS Leadership and external project partners, including the creation, tracking & reporting of metrics related to schedule, cost, and quality Throughout the lifecycle of the project. • Conversant in Amazon LPs. • Manage competing priorities. • Drive speed, quality, and simplification by eliminating rework loops, reducing and automating manual work through standardization and automation. • Create global best practice documentation and facilitate sharing across the globe. • Ability to motivate others to achieve impeccable quality in an explosive growth and deadline-driven environment. • Travel for site assessments, internal design meetings, construction review, and interfacing with design consultants. Anticipated travel not to exceed 25%. International travel may be needed. A day in the life •Leading design team meetings to coordinate cross-disciplinary decisions •Reviewing and approving design documents and changes •Managing consultant deliverables and performance •Responding to technical escalations from various teams •Collaborating with procurement and construction teams on implementation •Coordinating with AHJs for permitting requirements •Tracking project metrics for schedule, cost, and quality •Creating and updating best practice documentation •Participating in stakeholder meetings •Conducting site assessments and construction reviews •Managing critical path schedules and risk mitigation •Mentoring team members on design standards •Analyzing design optimization opportunities •Reviewing RFIs and submittal responses About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Knowledge of both mechanical and electrical equipment or design related to data center electrical and mechanical topology - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities - Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers - Bachelor's degree in Architecture, Construction Management, Engineering, or a related field PREFERRED QUALIFICATIONS - Experience with building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Professional Engineering or Architectural License Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 116 000.00 USD annually USA, WA, Seattle - 116 000.00 USD annually
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: Lead, Electrical Engineer Job Code: 35639 Job Location: Rockwall, TX Job Schedule: 9/80 Job Description: L3Harris is seeking a Lead Antenna Design Engineer to lead and manage the design of ultrawideband antenna and electronically scanned array (ESA) systems across various lifecycle phases for our Advanced Aperture Solution group. The Lead Antenna Designer will maintain responsibility for meeting project targets, performing engineering tasks, and lead engineering activities across multiple disciplines. The Lead Antenna Designer will interact with customers to determine needs/requirements, guide architecture design, and lead multiple programs to ensure technical requirements are met or exceeded. This role requires effective communication skills and the ability to present complex solutions to diverse audiences. The Advanced Aperture Solutions (AAS) group is quick reaction capability (QRC) aperture solutions business based in Rockwall, TX. AAS is responsible for the design and development of high-gain antenna systems for military airborne, maritime, and ground platforms. Our team has State-of-the-Art design tools validated with real hardware prototypes including CST Design Studio Antenna Modeling Software, Circuit Board design software, MATLAB software, SolidWorks software, and a PCB Laser that produces multiple same-day iterations of antenna designs. We ultimately provide critical ISR capabilities to fight and win in the SIGINT operating environment. Essential Functions: Lead complex antenna and RF/Microwave development including research, detailed design, and analysis for airborne, maritime, and ground systems. Prepare and conduct technical design review briefings. Assess and report on technical project status, risks, and issues. Oversee product development, technical activities, and system integration to ensure designs meet customer requirements. Perform RF front end level requirements, design, test, and integration of antenna systems for various platforms. Collaborate with design teams, test, production, program management, and customers to execute systems and deliver high-quality solutions. Support business development activities including planning, customer visits, technical briefings, and customer demonstrations. Draw on internal resources to generate accurate estimates for NRE and recurring costs. Make decisions on high-level/high-impact technical issues. Write and release system specifications, test procedures, and qualification reports. Work in a fast-paced environment, focusing on problem resolution and process improvement. Interface with customers on technical and contractual matters, ensuring satisfaction and business growth. Ability to travel up to 10%. Qualifications: Bachelors in engineering or other related field with 9 years of related experience. Graduate degree and a minimum of 7 years of related experience. In lieu of a degree, minimum of 13 years of prior related experience. Position requires the ability to obtain and maintain a DoD Secret Security Clearance Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.), S-parameters, matching networks, filtering (bandwidth, types, implementations, etc.). Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands. Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc. Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools. Preferred Additional Skills: Phased array design experience preferred. Antenna Range measurement techniques utilizing Planar Near Field Scanners, Spherical Near Field Scanners, Compact Ranges, Far Field Ranges, etc. Familiarity with RF technologies (e.g., radar, communication, cellular, WiFi, SATCOM). Advanced user of antenna and RF lab equipment (Vector Network Analyzers, Spectrum Analyzers, Signal Generators, Noise Figure Meters, Power Sensors, etc). An understanding of programming languages (MATLAB, C/C++, LabVIEW, Qt, Python). Experience with wiring/block diagrams, mechanical drawings, and PCB schematic/layout drawings. Familiarity with direction finding (DF) systems, and digital beamforming. Ability to work both independently and within a team environment. 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.
05/25/2026
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: Lead, Electrical Engineer Job Code: 35639 Job Location: Rockwall, TX Job Schedule: 9/80 Job Description: L3Harris is seeking a Lead Antenna Design Engineer to lead and manage the design of ultrawideband antenna and electronically scanned array (ESA) systems across various lifecycle phases for our Advanced Aperture Solution group. The Lead Antenna Designer will maintain responsibility for meeting project targets, performing engineering tasks, and lead engineering activities across multiple disciplines. The Lead Antenna Designer will interact with customers to determine needs/requirements, guide architecture design, and lead multiple programs to ensure technical requirements are met or exceeded. This role requires effective communication skills and the ability to present complex solutions to diverse audiences. The Advanced Aperture Solutions (AAS) group is quick reaction capability (QRC) aperture solutions business based in Rockwall, TX. AAS is responsible for the design and development of high-gain antenna systems for military airborne, maritime, and ground platforms. Our team has State-of-the-Art design tools validated with real hardware prototypes including CST Design Studio Antenna Modeling Software, Circuit Board design software, MATLAB software, SolidWorks software, and a PCB Laser that produces multiple same-day iterations of antenna designs. We ultimately provide critical ISR capabilities to fight and win in the SIGINT operating environment. Essential Functions: Lead complex antenna and RF/Microwave development including research, detailed design, and analysis for airborne, maritime, and ground systems. Prepare and conduct technical design review briefings. Assess and report on technical project status, risks, and issues. Oversee product development, technical activities, and system integration to ensure designs meet customer requirements. Perform RF front end level requirements, design, test, and integration of antenna systems for various platforms. Collaborate with design teams, test, production, program management, and customers to execute systems and deliver high-quality solutions. Support business development activities including planning, customer visits, technical briefings, and customer demonstrations. Draw on internal resources to generate accurate estimates for NRE and recurring costs. Make decisions on high-level/high-impact technical issues. Write and release system specifications, test procedures, and qualification reports. Work in a fast-paced environment, focusing on problem resolution and process improvement. Interface with customers on technical and contractual matters, ensuring satisfaction and business growth. Ability to travel up to 10%. Qualifications: Bachelors in engineering or other related field with 9 years of related experience. Graduate degree and a minimum of 7 years of related experience. In lieu of a degree, minimum of 13 years of prior related experience. Position requires the ability to obtain and maintain a DoD Secret Security Clearance Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.), S-parameters, matching networks, filtering (bandwidth, types, implementations, etc.). Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands. Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc. Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools. Preferred Additional Skills: Phased array design experience preferred. Antenna Range measurement techniques utilizing Planar Near Field Scanners, Spherical Near Field Scanners, Compact Ranges, Far Field Ranges, etc. Familiarity with RF technologies (e.g., radar, communication, cellular, WiFi, SATCOM). Advanced user of antenna and RF lab equipment (Vector Network Analyzers, Spectrum Analyzers, Signal Generators, Noise Figure Meters, Power Sensors, etc). An understanding of programming languages (MATLAB, C/C++, LabVIEW, Qt, Python). Experience with wiring/block diagrams, mechanical drawings, and PCB schematic/layout drawings. Familiarity with direction finding (DF) systems, and digital beamforming. Ability to work both independently and within a team environment. 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.
For the past 162 years, Swisher has been an industry leader known for its iconic products and commitment to high quality standards. With a rich history, Swisher serves adult consumers through a diverse range of businesses, including Swisher Sweets Cigar Company, Helme Tobacco Co., Hempire, Rogue Holdings, and Drew Estate: The Rebirth of Cigars. We have a passion for people and helping them build rewarding careers. If you're ready to create excitement and drive what's next in the industry, we'd love to hear from you. We are seeking a seasoned Salesforce System Architect with deep expertise in Consumer Goods Cloud, Retail Execution, and Commerce Cloud. The ideal candidate will bridge the gap between business strategy and technical execution, designing and supporting robust, scalable, and integrated solutions. This position will be responsible for the architectural integrity of our Salesforce ecosystem, ensuring seamless data flow between Salesforce, our Data Lake, and our ERP (NetSuite). Key Responsibilities Provide overall architecture and solution design for Salesforce implementations across multiple projects or large, complex initiatives Define and manage end-to-end technical architecture for Salesforce Consumer Goods Cloud, including data modeling and key capabilities such as Retail Execution, Visit Management, Trade Promotion Management (TPM), and Assortment and Pricing Architect and oversee integrations between Salesforce and external systems, including ERP, Data Lake, and third-party data providers, using APIs, MuleSoft, or other middleware Establish integration patterns that support reliability, scalability, monitoring, and operational support Design high-performance, offline-first mobile solutions for field sales teams to support visit planning, inventory visibility, and order capture Ensure mobile architecture aligns with performance expectations, synchronization requirements, and usability for frontline adoption Establish data management standards to support large data volumes (LDV), ensuring data quality, integrity, security, and regulatory compliance, including GDPR and SOX where applicable Lead technical design reviews and enforce engineering and configuration standards for Apex, Lightning Web Components (LWC), and declarative automation Collaborate with cross-functional business and technology partners to define implementation approaches aligned to business outcomes and platform standards Provide recommendations on how to leverage Salesforce product releases and capabilities, including Einstein AI and Agentforce, to improve retail execution outcomes Guide delivery teams through the full software development lifecycle (SDLC), from discovery and requirements through design, build, testing, deployment, and hypercare Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field 7+ years of Salesforce platform experience, including three to five years in a Solution Architect or Architect role Experience in CPG or Manufacturing environments supporting field sales and retail execution operating models Demonstrated experience designing and implementing Salesforce Consumer Goods Cloud solutions Strong knowledge of Retail Execution, Trade Promotion Management (TPM), and field sales processes Expertise in Salesforce integration patterns and technologies, including REST and SOAP APIs, middleware integration, and data migration approaches Deep understanding of the Salesforce security model, including roles, hierarchies, sharing rules, and access governance Travel: Up to 20% Preferred Qualifications Salesforce Certified System Architect or Salesforce Certified Technical Architect Relevant Salesforce cloud certifications, including Sales Cloud and Consumer Goods Cloud Experience using MuleSoft for enterprise integrations Knowledge of CRM Analytics (Tableau CRM) for retail insights and performance reporting Hands-on experience with CI/CD and release automation tools such as Copado or Gearset What We Offer Base salary and bonus program Medical, dental, vision, life insurance effective on date of hire Generous 401(k) Plan Defined Contribution Plan Paid vacation and paid holidays Tuition reimbursement Official Contact Information Email: All official emails will come from address Website: Verify job listings and contact details on Important: We will never contact you via Teams, Zoom, or Google Meets. If you qualify for an interview the proper meeting method will be shared with you beforehand. Confidential information should only be shared through secure methods outside of email.
05/25/2026
Full time
For the past 162 years, Swisher has been an industry leader known for its iconic products and commitment to high quality standards. With a rich history, Swisher serves adult consumers through a diverse range of businesses, including Swisher Sweets Cigar Company, Helme Tobacco Co., Hempire, Rogue Holdings, and Drew Estate: The Rebirth of Cigars. We have a passion for people and helping them build rewarding careers. If you're ready to create excitement and drive what's next in the industry, we'd love to hear from you. We are seeking a seasoned Salesforce System Architect with deep expertise in Consumer Goods Cloud, Retail Execution, and Commerce Cloud. The ideal candidate will bridge the gap between business strategy and technical execution, designing and supporting robust, scalable, and integrated solutions. This position will be responsible for the architectural integrity of our Salesforce ecosystem, ensuring seamless data flow between Salesforce, our Data Lake, and our ERP (NetSuite). Key Responsibilities Provide overall architecture and solution design for Salesforce implementations across multiple projects or large, complex initiatives Define and manage end-to-end technical architecture for Salesforce Consumer Goods Cloud, including data modeling and key capabilities such as Retail Execution, Visit Management, Trade Promotion Management (TPM), and Assortment and Pricing Architect and oversee integrations between Salesforce and external systems, including ERP, Data Lake, and third-party data providers, using APIs, MuleSoft, or other middleware Establish integration patterns that support reliability, scalability, monitoring, and operational support Design high-performance, offline-first mobile solutions for field sales teams to support visit planning, inventory visibility, and order capture Ensure mobile architecture aligns with performance expectations, synchronization requirements, and usability for frontline adoption Establish data management standards to support large data volumes (LDV), ensuring data quality, integrity, security, and regulatory compliance, including GDPR and SOX where applicable Lead technical design reviews and enforce engineering and configuration standards for Apex, Lightning Web Components (LWC), and declarative automation Collaborate with cross-functional business and technology partners to define implementation approaches aligned to business outcomes and platform standards Provide recommendations on how to leverage Salesforce product releases and capabilities, including Einstein AI and Agentforce, to improve retail execution outcomes Guide delivery teams through the full software development lifecycle (SDLC), from discovery and requirements through design, build, testing, deployment, and hypercare Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field 7+ years of Salesforce platform experience, including three to five years in a Solution Architect or Architect role Experience in CPG or Manufacturing environments supporting field sales and retail execution operating models Demonstrated experience designing and implementing Salesforce Consumer Goods Cloud solutions Strong knowledge of Retail Execution, Trade Promotion Management (TPM), and field sales processes Expertise in Salesforce integration patterns and technologies, including REST and SOAP APIs, middleware integration, and data migration approaches Deep understanding of the Salesforce security model, including roles, hierarchies, sharing rules, and access governance Travel: Up to 20% Preferred Qualifications Salesforce Certified System Architect or Salesforce Certified Technical Architect Relevant Salesforce cloud certifications, including Sales Cloud and Consumer Goods Cloud Experience using MuleSoft for enterprise integrations Knowledge of CRM Analytics (Tableau CRM) for retail insights and performance reporting Hands-on experience with CI/CD and release automation tools such as Copado or Gearset What We Offer Base salary and bonus program Medical, dental, vision, life insurance effective on date of hire Generous 401(k) Plan Defined Contribution Plan Paid vacation and paid holidays Tuition reimbursement Official Contact Information Email: All official emails will come from address Website: Verify job listings and contact details on Important: We will never contact you via Teams, Zoom, or Google Meets. If you qualify for an interview the proper meeting method will be shared with you beforehand. Confidential information should only be shared through secure methods outside of email.
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. In this position Responsible for leading new product launch - Material and Logistics strategy and ensuring alignment across manufacturing, logistics, and supply chain systems. Collaborates with cross functional teams to drive forward model planning, business process alignment, and change management. Designs, implements, and supports material planning and logistics control systems (MRP, WMS, TMS, ASRS, AGV), oversees system testing and integration, optimizes route and process flows, delivers training, and tracks KPIs to support efficient launches and continuous improvement. What You'll Do Lead and coordinate the strategy for new product launches, ensuring seamless integration with manufacturing processes. Collaborate with cross-functional teams (product development, engineering, manufacturing, supply chain) to define and align the forward model strategy. Facilitate change management initiatives, ensuring smooth adoption of new processes and strategies. Create and deliver training programs to ensure teams understand and adhere to new strategies and process improvements. Analyze market trends, technology advancements, and competitive landscape to inform strategic decisions and drive forward model planning. Design, develop, and maintain MRP/WMS/TMS/ASRS/AGV control systems focusing on Material Planning and Logistics functions Lead MP&L business process alignment matching with MRP/WMS/TMS/ASRS/AGV control system flows Support system UAT test, co-work with ERP/MRP system providers, Plant IT teams, and Cross-functional teams Design route planning, monitor, and improve for the most optimized process flows/ information flows Track and report on KPIs related to product launches, process efficiency, and continuous improvement efforts. You will have: AS degree or equivalent in Industrial Engineering, Manufacturing Engineering, Business Administration, or a related field. 3+ years of experience in Logistics process improvement, strategic planning, and Experience in forward model strategy development and implementation. 3+ years of experience in ERP systems (e.g., SAP, Oracle) and product lifecycle management (PLM) software. Better if you have: Bachelor's or above degree Mandarin fluency preferred Strong background in Lean, Six Sigma, or other process improvement methodologies; Six Sigma Black Belt or Green Belt certification is highly desirable. Proven experience in leading cross-functional teams Strong project management skills and experience with Agile or similar methodologies. Experience with performance measurement and KPI development. Willingness to pursue continuous learning in the areas of process optimization, strategy development, and leadership. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 8 and ranges from $96,720-162,120. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
05/25/2026
Full time
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford's legacy of innovation is about to reach new heights. Imagine being on the ground floor of something truly extraordinary. At BlueOval Battery Park Michigan, we're not just assembling battery systems; we're leading a transformation. As a key member of our start-up team, you'll have a once-in-a-lifetime opportunity to launch a state-of-the-art manufacturing facility from the ground up. Imagine: you, at the forefront of the electrification movement, helping to bring the next generation of vehicles to driveways, job sites and highways everywhere. At BlueOval Battery Park Michigan, you will • use your entrepreneurial skills and team mindset to come up with data-driven solutions • build and lead an agile team to deliver the advanced technology that drives the future • create a culture of trust, encourage diversity of thought and foster leadership in others • be part of the historic transformation of the automotive industry. In this position Responsible for leading new product launch - Material and Logistics strategy and ensuring alignment across manufacturing, logistics, and supply chain systems. Collaborates with cross functional teams to drive forward model planning, business process alignment, and change management. Designs, implements, and supports material planning and logistics control systems (MRP, WMS, TMS, ASRS, AGV), oversees system testing and integration, optimizes route and process flows, delivers training, and tracks KPIs to support efficient launches and continuous improvement. What You'll Do Lead and coordinate the strategy for new product launches, ensuring seamless integration with manufacturing processes. Collaborate with cross-functional teams (product development, engineering, manufacturing, supply chain) to define and align the forward model strategy. Facilitate change management initiatives, ensuring smooth adoption of new processes and strategies. Create and deliver training programs to ensure teams understand and adhere to new strategies and process improvements. Analyze market trends, technology advancements, and competitive landscape to inform strategic decisions and drive forward model planning. Design, develop, and maintain MRP/WMS/TMS/ASRS/AGV control systems focusing on Material Planning and Logistics functions Lead MP&L business process alignment matching with MRP/WMS/TMS/ASRS/AGV control system flows Support system UAT test, co-work with ERP/MRP system providers, Plant IT teams, and Cross-functional teams Design route planning, monitor, and improve for the most optimized process flows/ information flows Track and report on KPIs related to product launches, process efficiency, and continuous improvement efforts. You will have: AS degree or equivalent in Industrial Engineering, Manufacturing Engineering, Business Administration, or a related field. 3+ years of experience in Logistics process improvement, strategic planning, and Experience in forward model strategy development and implementation. 3+ years of experience in ERP systems (e.g., SAP, Oracle) and product lifecycle management (PLM) software. Better if you have: Bachelor's or above degree Mandarin fluency preferred Strong background in Lean, Six Sigma, or other process improvement methodologies; Six Sigma Black Belt or Green Belt certification is highly desirable. Proven experience in leading cross-functional teams Strong project management skills and experience with Agile or similar methodologies. Experience with performance measurement and KPI development. Willingness to pursue continuous learning in the areas of process optimization, strategy development, and leadership. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 8 and ranges from $96,720-162,120. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-.
JOB DESCRIPTION Our mission is high stakes: ensure enterprise exam analytics are consistently available, accurate, and trusted. We operate at the intersection of engineering excellence, operational rigor, and stakeholder partnership-translating complex data systems into dependable decision-support tools for technology, operations, security, and client-facing teams. We document thoroughly, automate intentionally, and design scale from day one. More than dashboard builders, we engineer the analytics backbone that supports 's most critical exam experiences and decision-making. We celebrate deep expertise in data engineering, observability, security, and platform reliability while delivering as a cohesive, high-performing team aligned to enterprise outcomes. About the Opportunity As a Full Stack Engineer, you will contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations. You will help build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery. You bring strong cloud full-stack engineering experience, with hands-on skills across backend services, data platforms, APIs, and front-end analytics applications. You are comfortable working on cloud-native solutions end to end-from data ingestion and transformation to secure service layers and intuitive dashboard experiences. Junior to midlevel, but skilled engineer with experience in AWS event-driven serverless cloud environment; scripting using Python, JavaScript, and solid communication skills and naturally curious about technology. You will contribute to engineering excellence by following established architectural patterns, automation standards, and observability practices that improve system reliability and operational readiness. This includes implementing robust automated testing strategies using tools to ensure quality, reliability, and seamless user experiences. You understand cloud software delivery, tools, and processes that empower efficient and resilient delivery that adheres to top-notch development practices. You are technologically curious and seek out opportunities to research emerging technologies and trends, standards, and products. Your excellent communication and collaboration skills allow you to effectively articulate solutions to the development community, enabling all to succeed. You are communicative, approachable, self-driven, and collaborative. In this role, you will: Software Solutioning & Design (10%) Develop a strong understanding of customer business processes and exam operations Collaborate with Lead Engineers and Solution Architects to evaluate feature requests, provide effort estimates, and support sprint planning Participate in peer code and design reviews to ensure quality and consistenc Design & Implementation (65%) Contribute to the development and scalability of enterprise analytics platforms supporting mission-critical exam operations Write code to implement, and maintain cloud-native data architectures, telemetry pipelines, APIs, and reporting systems Build secure, scalable full-stack solutions across backend services, data platforms, and front-end analytics applications Implement end-to-end solutions-from data ingestion and transformation to service layers and dashboards Apply established architectural patterns, automation practices, and observability standards Ensure systems meet requirements for scalability, data integrity, availability, and reliability Integrate monitoring, telemetry, and operational readiness into system components Develop and maintain automated end-to-end and UI testing frameworks using Playwright to ensure application quality and reliability. Embed monitoring, telemetry, and operational readiness into all platform components Technical Contribution & Engineering Excellence (15%) Contribute to solving complex technical problems and improving system design Support and collaborate with team members to promote best practices in development, testing, and system design Continuously improve skills across cloud, data, full-stack technologies, and test automation frameworks Communicate technical approaches, tradeoffs, and solutions clearly to team members and stakeholders Promote best practices in secure system design, automation, performance optimization, and resilient engineering Team Operations & Cross-Functional Collaboration (10%) Partner with product, operations, and security teams to deliver aligned solutions Support exam readiness through participation in testing, monitoring, and reliability efforts Contribute to documentation, knowledge sharing, and continuous improvement initiatives Collaborate with QA and engineering teams to integrate automated into CI/CD pipelines Foster a culture of ownership, documentation, accountability, and continuous improvement About You You have: 3+ years of experience designing, building, and supporting scalable, cloud-native applications, data pipelines, analytics platforms 1+ years of experience developing modern front-end applications using TypeScript and React. Coding/scripting experience with Python, JavaScript, React.js, Node.js Technical knowledge of Cloud Computing, DevOps, and Microservices Strong knowledge and experience with distributed cloud infrastructure within AWS Experience with Backstage, LaunchDarkly, GitHub Actions is a plus Exceptional analytical, conceptual, and problem-solving abilities Experience working with AWS resources such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, DynamoDB Excellent communication and collaboration skills with an ability to present ideas in business-friendly and user-friendly language Ability to prioritize and execute tasks in a high-pressure environment Strong hands-on experience with backend technologies such as Node.js (preferably TypeScript) and Python, building APIs and data processing systems Experience working with data ingestion, transformation, and orchestration pipelines for analytical and operational workloads Experience in building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS Familiarity with asynchronous programming and event-driven architectures Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Familiarity with ML lifecycle concepts and tools Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI Experience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plus Experience with automated testing frameworks, specifically Playwright for end-to-end and UI testing Strong focus on scalability, data integrity, reliability, and quality engineering practices Good problem-solving, analytical thinking, and communication skills Nice to Have: Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Understanding of data isolation, performance segmentation, and secure access in distributed systems Familiarity with observability and operational strategies in distributed architectures Experience integrating automated testing frameworks like Playwright into CI/CD pipelines All roles at Client require: A passion for expanding educational and career opportunities and mission-driven work Authorization to work in the United States for any employer Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and a comfort learning and applying new digital tools independently and proactively. Clear and concise communication skills, written and verbal A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
05/25/2026
Full time
JOB DESCRIPTION Our mission is high stakes: ensure enterprise exam analytics are consistently available, accurate, and trusted. We operate at the intersection of engineering excellence, operational rigor, and stakeholder partnership-translating complex data systems into dependable decision-support tools for technology, operations, security, and client-facing teams. We document thoroughly, automate intentionally, and design scale from day one. More than dashboard builders, we engineer the analytics backbone that supports 's most critical exam experiences and decision-making. We celebrate deep expertise in data engineering, observability, security, and platform reliability while delivering as a cohesive, high-performing team aligned to enterprise outcomes. About the Opportunity As a Full Stack Engineer, you will contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations. You will help build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery. You bring strong cloud full-stack engineering experience, with hands-on skills across backend services, data platforms, APIs, and front-end analytics applications. You are comfortable working on cloud-native solutions end to end-from data ingestion and transformation to secure service layers and intuitive dashboard experiences. Junior to midlevel, but skilled engineer with experience in AWS event-driven serverless cloud environment; scripting using Python, JavaScript, and solid communication skills and naturally curious about technology. You will contribute to engineering excellence by following established architectural patterns, automation standards, and observability practices that improve system reliability and operational readiness. This includes implementing robust automated testing strategies using tools to ensure quality, reliability, and seamless user experiences. You understand cloud software delivery, tools, and processes that empower efficient and resilient delivery that adheres to top-notch development practices. You are technologically curious and seek out opportunities to research emerging technologies and trends, standards, and products. Your excellent communication and collaboration skills allow you to effectively articulate solutions to the development community, enabling all to succeed. You are communicative, approachable, self-driven, and collaborative. In this role, you will: Software Solutioning & Design (10%) Develop a strong understanding of customer business processes and exam operations Collaborate with Lead Engineers and Solution Architects to evaluate feature requests, provide effort estimates, and support sprint planning Participate in peer code and design reviews to ensure quality and consistenc Design & Implementation (65%) Contribute to the development and scalability of enterprise analytics platforms supporting mission-critical exam operations Write code to implement, and maintain cloud-native data architectures, telemetry pipelines, APIs, and reporting systems Build secure, scalable full-stack solutions across backend services, data platforms, and front-end analytics applications Implement end-to-end solutions-from data ingestion and transformation to service layers and dashboards Apply established architectural patterns, automation practices, and observability standards Ensure systems meet requirements for scalability, data integrity, availability, and reliability Integrate monitoring, telemetry, and operational readiness into system components Develop and maintain automated end-to-end and UI testing frameworks using Playwright to ensure application quality and reliability. Embed monitoring, telemetry, and operational readiness into all platform components Technical Contribution & Engineering Excellence (15%) Contribute to solving complex technical problems and improving system design Support and collaborate with team members to promote best practices in development, testing, and system design Continuously improve skills across cloud, data, full-stack technologies, and test automation frameworks Communicate technical approaches, tradeoffs, and solutions clearly to team members and stakeholders Promote best practices in secure system design, automation, performance optimization, and resilient engineering Team Operations & Cross-Functional Collaboration (10%) Partner with product, operations, and security teams to deliver aligned solutions Support exam readiness through participation in testing, monitoring, and reliability efforts Contribute to documentation, knowledge sharing, and continuous improvement initiatives Collaborate with QA and engineering teams to integrate automated into CI/CD pipelines Foster a culture of ownership, documentation, accountability, and continuous improvement About You You have: 3+ years of experience designing, building, and supporting scalable, cloud-native applications, data pipelines, analytics platforms 1+ years of experience developing modern front-end applications using TypeScript and React. Coding/scripting experience with Python, JavaScript, React.js, Node.js Technical knowledge of Cloud Computing, DevOps, and Microservices Strong knowledge and experience with distributed cloud infrastructure within AWS Experience with Backstage, LaunchDarkly, GitHub Actions is a plus Exceptional analytical, conceptual, and problem-solving abilities Experience working with AWS resources such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, DynamoDB Excellent communication and collaboration skills with an ability to present ideas in business-friendly and user-friendly language Ability to prioritize and execute tasks in a high-pressure environment Strong hands-on experience with backend technologies such as Node.js (preferably TypeScript) and Python, building APIs and data processing systems Experience working with data ingestion, transformation, and orchestration pipelines for analytical and operational workloads Experience in building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS Familiarity with asynchronous programming and event-driven architectures Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Familiarity with ML lifecycle concepts and tools Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI Experience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plus Experience with automated testing frameworks, specifically Playwright for end-to-end and UI testing Strong focus on scalability, data integrity, reliability, and quality engineering practices Good problem-solving, analytical thinking, and communication skills Nice to Have: Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Understanding of data isolation, performance segmentation, and secure access in distributed systems Familiarity with observability and operational strategies in distributed architectures Experience integrating automated testing frameworks like Playwright into CI/CD pipelines All roles at Client require: A passion for expanding educational and career opportunities and mission-driven work Authorization to work in the United States for any employer Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and a comfort learning and applying new digital tools independently and proactively. Clear and concise communication skills, written and verbal A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron values and respects the sacrifice of US military members from all branches and wants to support your transition to civilian life with a rewarding career in the semiconductor industry. Micron Technology is seeking highly motivated Process and Equipment Maintenance Technicians to support wafer fabrication in a dynamic manufacturing environment. In this role, you will monitor and sustain equipment and processes, conduct analysis, and collaborate with Shift Operations, equipment engineers, and tool vendors to improve efficiency, yield, and performance. As a technician at Micron, you'll be at the forefront of innovation in memory and storage solutions, demonstrating a high level of dependability and passion. You'll embody Micron's core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. Responsibilities: Process Technician Operate and monitor semiconductor processing equipment; handle up to 25 online manufacturing systems. Support wafer process efficiency, quality, and innovation through collaboration with engineering, operations, and other key partners. Support engineering and process development teams, helping improve workstation operations and resolve bottlenecks. Support problem-solving and continuous improvement efforts; use data analysis to guide process decisions. Work in both cleanroom and office environments, adapting to fabrication and data analysis needs. Follow safety protocols and perform physical tasks, including standing for long periods, lifting 25-40 lbs, and navigating tight or uneven spaces. Communicate clearly and handle tasks independently, using Microsoft Office tools to complete work efficiently. Conduct technical tests and experiments for R&D in wafer fabrication; prepare reports and present findings. Equipment Technician Collaborate with team members and vendors to monitor equipment performance, address preventative maintenance needs, and proactively resolve safety concerns. Perform light assembly and maintain cleanroom standards, including lifting materials (25-40 lbs), using handheld tools, and following housekeeping protocols to support equipment availability. Ability to wear fab-specific cleanroom garments at all times and occasionally wear PPE (e.g., chemical apron, face shield). Document process deviations and drive improvements, using root cause analysis to prevent recurrence and optimize operations. Perform physically demanding tasks safely, including standing up to 10 hours, walking 1-5 miles per shift, lifting 25-40 lbs, and navigating confined or uneven spaces. Safely handle gases and chemicals, maintain situational awareness, and follow all safety policies including proper use of PPE like respirators and cleanroom garments. Lead and support projects focused on equipment maintenance and operational improvements, ensuring alignment with scope, schedule, and budget. Understand mechanical, electrical or controls operations of HVAC/R systems, including chiller plants, compressed air, heating water, cooling water, process exhaust, cleanroom HVAC/R, and general building HVAC/R. Applicable Military Experience: Navy Rates (but not limited to): Electronics Technician (ET), Machinists Mate (MM), Electricians Mate (EM), Missile Technician (MT), Information Systems technician (IT), Aviation Electronics Technician (AT), Aviation Antisubmarine Warfare Technician (AX), Torpedoman's Mate (TM), Sonar Technician (ST), and All Nuclear reactor rates (MMN, EMN, ETN). FT (Fire Control Submarine), FC (Fire Control Surface) Army MOS (but not limited to): 17C, 25-series, 91-series, 12-series, and 15-series Marine MOS (but not limited to): 06 Communications, 11 Utilities, 13 Engineer Construction Facilities & Equipment, 21 Ground Ordnance Maintenance, 28 Ground Electronics Maintenance Air Force (but not limited to): Aircraft Mechanic, Avionics Specialist, Missile and Space Systems Maintenance, Specialty Electronics Coast Guard (but not limited to): Electronics Technician (ET), Electricians Mate (EM), Information Systems Technician (IT), Machinery Technician (MK), Aviation Electrical Technician (AET), Aviation Maintenance Technician (AMT) Minimum Requirements: High school diploma or equivalent. 2 years of experience performing preventative maintenance and repairs on manufacturing equipment to reduce downtime. 2 years of experience applying mechanical, electronic, and software skills to identify and resolve equipment issues. Flexibility to work 12-hour shifts (3 days on/4 days off and 4 days on/3 days off), rotate between day and night shifts every 4 months, and work overtime as needed. Willingness to alternate assignments between the Remote Operations Center (ROC) and in-FAB, with approximately 80% of time spent in ROC and 20% in-FAB. Preferred Requirements: AAS or AS degree in Mechatronics, Electronics, Mechanical Engineering, Science, Physics, Mathematics, or Supply Chain Management, or equivalent trade school/military experience. 2 years of experience identifying performance gaps and implementing strategic improvements. Demonstrated ability in maintaining manufacturing equipment, automation systems, or technical military experience. Demonstrated ability overseeing projects involving equipment upkeep and improvement, emphasizing meeting project scope, timeline, and financial constraints. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option 3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.5c143e31-5e48-4549-b2d185386
05/25/2026
Full time
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron values and respects the sacrifice of US military members from all branches and wants to support your transition to civilian life with a rewarding career in the semiconductor industry. Micron Technology is seeking highly motivated Process and Equipment Maintenance Technicians to support wafer fabrication in a dynamic manufacturing environment. In this role, you will monitor and sustain equipment and processes, conduct analysis, and collaborate with Shift Operations, equipment engineers, and tool vendors to improve efficiency, yield, and performance. As a technician at Micron, you'll be at the forefront of innovation in memory and storage solutions, demonstrating a high level of dependability and passion. You'll embody Micron's core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. Responsibilities: Process Technician Operate and monitor semiconductor processing equipment; handle up to 25 online manufacturing systems. Support wafer process efficiency, quality, and innovation through collaboration with engineering, operations, and other key partners. Support engineering and process development teams, helping improve workstation operations and resolve bottlenecks. Support problem-solving and continuous improvement efforts; use data analysis to guide process decisions. Work in both cleanroom and office environments, adapting to fabrication and data analysis needs. Follow safety protocols and perform physical tasks, including standing for long periods, lifting 25-40 lbs, and navigating tight or uneven spaces. Communicate clearly and handle tasks independently, using Microsoft Office tools to complete work efficiently. Conduct technical tests and experiments for R&D in wafer fabrication; prepare reports and present findings. Equipment Technician Collaborate with team members and vendors to monitor equipment performance, address preventative maintenance needs, and proactively resolve safety concerns. Perform light assembly and maintain cleanroom standards, including lifting materials (25-40 lbs), using handheld tools, and following housekeeping protocols to support equipment availability. Ability to wear fab-specific cleanroom garments at all times and occasionally wear PPE (e.g., chemical apron, face shield). Document process deviations and drive improvements, using root cause analysis to prevent recurrence and optimize operations. Perform physically demanding tasks safely, including standing up to 10 hours, walking 1-5 miles per shift, lifting 25-40 lbs, and navigating confined or uneven spaces. Safely handle gases and chemicals, maintain situational awareness, and follow all safety policies including proper use of PPE like respirators and cleanroom garments. Lead and support projects focused on equipment maintenance and operational improvements, ensuring alignment with scope, schedule, and budget. Understand mechanical, electrical or controls operations of HVAC/R systems, including chiller plants, compressed air, heating water, cooling water, process exhaust, cleanroom HVAC/R, and general building HVAC/R. Applicable Military Experience: Navy Rates (but not limited to): Electronics Technician (ET), Machinists Mate (MM), Electricians Mate (EM), Missile Technician (MT), Information Systems technician (IT), Aviation Electronics Technician (AT), Aviation Antisubmarine Warfare Technician (AX), Torpedoman's Mate (TM), Sonar Technician (ST), and All Nuclear reactor rates (MMN, EMN, ETN). FT (Fire Control Submarine), FC (Fire Control Surface) Army MOS (but not limited to): 17C, 25-series, 91-series, 12-series, and 15-series Marine MOS (but not limited to): 06 Communications, 11 Utilities, 13 Engineer Construction Facilities & Equipment, 21 Ground Ordnance Maintenance, 28 Ground Electronics Maintenance Air Force (but not limited to): Aircraft Mechanic, Avionics Specialist, Missile and Space Systems Maintenance, Specialty Electronics Coast Guard (but not limited to): Electronics Technician (ET), Electricians Mate (EM), Information Systems Technician (IT), Machinery Technician (MK), Aviation Electrical Technician (AET), Aviation Maintenance Technician (AMT) Minimum Requirements: High school diploma or equivalent. 2 years of experience performing preventative maintenance and repairs on manufacturing equipment to reduce downtime. 2 years of experience applying mechanical, electronic, and software skills to identify and resolve equipment issues. Flexibility to work 12-hour shifts (3 days on/4 days off and 4 days on/3 days off), rotate between day and night shifts every 4 months, and work overtime as needed. Willingness to alternate assignments between the Remote Operations Center (ROC) and in-FAB, with approximately 80% of time spent in ROC and 20% in-FAB. Preferred Requirements: AAS or AS degree in Mechatronics, Electronics, Mechanical Engineering, Science, Physics, Mathematics, or Supply Chain Management, or equivalent trade school/military experience. 2 years of experience identifying performance gaps and implementing strategic improvements. Demonstrated ability in maintaining manufacturing equipment, automation systems, or technical military experience. Demonstrated ability overseeing projects involving equipment upkeep and improvement, emphasizing meeting project scope, timeline, and financial constraints. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option 3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.5c143e31-5e48-4549-b2d185386
