Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Immediate need for a talented Software Systems Engineer (exp in Medical device) . This is a 09+ Months Contract opportunity with long-term potential and is located in Pleasanton, CA (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:-26-09305 Pay Range: $65 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Serve as a Software Systems Engineer Individual Contributor and Team Lead to deliver: Requirements Elicitation Requirements decomposition/traceability dFMEAs SysML/SW Architecture Creating Development Plans Trade-Off Studies Trace Matrix Lead technical software design reviews for deliverables Own and author of internal design documentation with high level of polish for consumption by other engineers and business partners Validate the efficacy and value of implemented design patterns and documentation and continuously improve Self-directed coordination of implementation projects, tasks, device documentation and cross training of coworkers Responsible for staying abreast of emerging developments in infrastructure and software technologies and making recommendations as appropriate Med device exp. required. Potential to extend for right candidate but no guarantee. Start asap if onboarding requirements met. Prefer local candidates over others. Key Requirements and Technology Experience: Must have skills : software requirements development, SysML/SW Architecture, FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Years Experience: 5+ years of systems engineering experience Skills:-Significant experience in software requirements development Ability to work in a geographically diverse environment Ability to work within a team and as an individual contributor/team lead in a fast-paced, changing environment Ability to leverage and/or engage others to accomplish projects Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Experience working in an Agile lifecycle methodology Experience as a Software Systems Engineer in a Medical Device company Experience requirements management tool Experience with FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Education: Bachelor's degree required Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here .
04/08/2026
Full time
Immediate need for a talented Software Systems Engineer (exp in Medical device) . This is a 09+ Months Contract opportunity with long-term potential and is located in Pleasanton, CA (Onsite) . Please review the job description below and contact me ASAP if you are interested. Job ID:-26-09305 Pay Range: $65 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Serve as a Software Systems Engineer Individual Contributor and Team Lead to deliver: Requirements Elicitation Requirements decomposition/traceability dFMEAs SysML/SW Architecture Creating Development Plans Trade-Off Studies Trace Matrix Lead technical software design reviews for deliverables Own and author of internal design documentation with high level of polish for consumption by other engineers and business partners Validate the efficacy and value of implemented design patterns and documentation and continuously improve Self-directed coordination of implementation projects, tasks, device documentation and cross training of coworkers Responsible for staying abreast of emerging developments in infrastructure and software technologies and making recommendations as appropriate Med device exp. required. Potential to extend for right candidate but no guarantee. Start asap if onboarding requirements met. Prefer local candidates over others. Key Requirements and Technology Experience: Must have skills : software requirements development, SysML/SW Architecture, FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Years Experience: 5+ years of systems engineering experience Skills:-Significant experience in software requirements development Ability to work in a geographically diverse environment Ability to work within a team and as an individual contributor/team lead in a fast-paced, changing environment Ability to leverage and/or engage others to accomplish projects Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization Multitasks, prioritizes and meets deadlines in timely manner Ability to maintain regular and predictable attendance Experience working in an Agile lifecycle methodology Experience as a Software Systems Engineer in a Medical Device company Experience requirements management tool Experience with FDA 21 CFR 820, EU MDR, ISO 13485, ISO 14971, IEC 62304 Education: Bachelor's degree required Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here .
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time)Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) A final U.S. Secret Clearance Pre-Start is required.Basic Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems developmentPreferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environmentsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education & Experience9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation: This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift: This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850Boeing offers the best benefits in Aerospace:The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time)Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) A final U.S. Secret Clearance Pre-Start is required.Basic Qualifications Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems developmentPreferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environmentsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education & Experience9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation: This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift: This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850Boeing offers the best benefits in Aerospace:The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to support the F-15 Government Training Systems in Berkeley, MO. This individual will be a self-motivated Systems or Software Engineer to serve as our Distributed Mission Operations (DMO) focal. They will facilitate interoperability with other military simulation platforms including reviewing and evaluating draft interoperability requirements, interpreting software requirements to develop, document and execute system test plans, support testing and integration events, and investigate problem reports to determine root cause and correction plans.F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief.This role blends systems, software, and test engineering to assure simulation interoperability, enabling and supporting realistic, high fidelity mission training and test events.Position Responsibilities: Serve as the focal/technical lead for program-level DMO activities and cross-team coordination with internal Boeing programs, other contractors and US Government representatives Developing an understanding of system architecture and capabilities to enable decomposing system level requirements, especially to determine software requirements Develop and maintain DMO architecture artifacts including system configurations, federate system test plans, test procedures and test reports Plan and execute system tests to verify system functionality and investigate and diagnose system anomalies Provide on-site and remote support as technical point of contact including performing real-time troubleshooting during training and test events Support configuration management of software configuration items across numerous distributed sites Understanding USG classified computer security operations including decomposing security classification guidelines into system requirements, test plans and executing test points for system validation Mentor junior engineers and coordinate external vendor integrations and third-party services Produce clear engineering documentation, test plans and reports, and briefings for stakeholders and leadershipSpecial Program Access or other Government Access Requirements may be required for these positions.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of relevant experience in software engineering, systems engineering, simulation integration, or avionics integration (5-10 years typical for P3). Excellent technical writing and oral communication; experience producing documents such as ICDs, test plans, and after action review artifacts. Ability and willingness to travel up to 10% of the time, primarily domestic but possibly internationalPreferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Prior Boeing or defense industry simulation/DMO experience Experience with DMO/LVC technologies and interoperability standards including HLA (RTI), DIS, or TENA Experience with CIGI, image generator integration, and common database/terrain standards (CDB, GIS) Networking experience including software tools for packet capture/analysis Strong software background including developing, updating and executing automated testing, especially using Microsoft Visual Studio C++ Familiarity with formal systems development lifecycle (V model) Experience coordinating distributed, multi-site events and tests and interacting with government stakeholdersConflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to support the F-15 Government Training Systems in Berkeley, MO. This individual will be a self-motivated Systems or Software Engineer to serve as our Distributed Mission Operations (DMO) focal. They will facilitate interoperability with other military simulation platforms including reviewing and evaluating draft interoperability requirements, interpreting software requirements to develop, document and execute system test plans, support testing and integration events, and investigate problem reports to determine root cause and correction plans.F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief.This role blends systems, software, and test engineering to assure simulation interoperability, enabling and supporting realistic, high fidelity mission training and test events.Position Responsibilities: Serve as the focal/technical lead for program-level DMO activities and cross-team coordination with internal Boeing programs, other contractors and US Government representatives Developing an understanding of system architecture and capabilities to enable decomposing system level requirements, especially to determine software requirements Develop and maintain DMO architecture artifacts including system configurations, federate system test plans, test procedures and test reports Plan and execute system tests to verify system functionality and investigate and diagnose system anomalies Provide on-site and remote support as technical point of contact including performing real-time troubleshooting during training and test events Support configuration management of software configuration items across numerous distributed sites Understanding USG classified computer security operations including decomposing security classification guidelines into system requirements, test plans and executing test points for system validation Mentor junior engineers and coordinate external vendor integrations and third-party services Produce clear engineering documentation, test plans and reports, and briefings for stakeholders and leadershipSpecial Program Access or other Government Access Requirements may be required for these positions.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of relevant experience in software engineering, systems engineering, simulation integration, or avionics integration (5-10 years typical for P3). Excellent technical writing and oral communication; experience producing documents such as ICDs, test plans, and after action review artifacts. Ability and willingness to travel up to 10% of the time, primarily domestic but possibly internationalPreferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Prior Boeing or defense industry simulation/DMO experience Experience with DMO/LVC technologies and interoperability standards including HLA (RTI), DIS, or TENA Experience with CIGI, image generator integration, and common database/terrain standards (CDB, GIS) Networking experience including software tools for packet capture/analysis Strong software background including developing, updating and executing automated testing, especially using Microsoft Visual Studio C++ Familiarity with formal systems development lifecycle (V model) Experience coordinating distributed, multi-site events and tests and interacting with government stakeholdersConflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/08/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Missile & Weapon Systems division is seeking a Software Engineering Manager to oversee the Small Diameter Bomb (SDB) software team in St. Charles, MO (St. Louis Metro Area). This Software Manager will lead multiple software teams in the SDB organization, which produces precision-guided weapon systems used by U.S. and allied forces worldwide.The SDB Software Manager will lead, mentor, and develop a team of software engineers, manage performance in line with Boeing values and behaviors, and foster a culture of innovation, collaboration, and compliance with industry standards and best practices. The role will implement strategic business plans and policies to align teamwork with organizational goals, drive process improvements to boost efficiency and productivity, and manage resource allocation to support software engineering initiatives.This proactive manager will collaborate with external suppliers, partners, and cross-functional teams to deliver technical solutions that meet customer needs and regulatory requirements, maintain clear communication and strong relationships with customers and stakeholders to ensure alignment on project objectives, and stay current on emerging technologies and industry trends to guide adoption of relevant innovations. The position will also facilitate regular technical reviews and audits, provide oversight and approval of technical approaches, products, and processes, and ensure that the team's deliverables consistently meet established standards and practices.Join Us. Protect Our Nation and Partners.The Precision Strike organization is a strong and growing business that produces world-class software built exceptional software teams developing Operational Flight Software (OFS), mission planning and weapon control software, resident test software, and other real-time embedded and mission-processing software for SDB and related munition systems. Teams develop in languages such as C++, C, Python, and may integrate with C#, Java, and Qt front ends, delivering to target platforms including Linux, VxWorks, and bare-metal embedded targets.Boeing offers a comprehensive benefits package including substantial Paid Time Off (PTO), flexible work environment, paid parental leave, an Industry Leading 401k matching plan, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. For more information, click here.Position Responsibilities: Manage software engineering team through the software development life cycle. Develops and maintains relationships and partnerships with peers, business partners, customers, and other stakeholders. Oversee software architecture, design, and implementation practices to ensure compliance with Software Engineering Design Practices, safety-critical requirements, and Independent Verification & Validation (IV&V) inputs. Participate in program operating rhythm to include Program Increment (PI) Planning, program risk/issue/opportunity (RIO) process, and EVMS activities. Takes a collaborative approach to develop and execute project and process plans, implement policies and procedures, and develop and maintain roadmaps. Acquires resources for projects and processes and provides oversight and approval of technical approaches in alignment with organizational strategy. Demonstrate a commitment to the mission and motivation to combine the team's energy and expertise to achieve a common objective. Lead technical planning and execution for software scope, schedule, and cost, including Earned Value Management (EVM) duties and reporting.Basic Qualifications (Required Skills/ Experience): 3+ years of experience managing or leading teams in a software engineering discipline 3+ years of experience with project management principles Experience in Agile Software Development Demonstrated ability to provide a high level of customer satisfactionPreferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science or equivalent experience Strong communication skills - written/verbal Experience in developing large-scale software systems Experience developing software for real-time embedded systems More than 3 years of experience managing projects using Earned Value Management System (EVMS) Experience in C++ or Ada Experience working directly with DOD customers or participating in Program Increment (PI) planning and milestone reviews Experience with software requirement development Experience working with system/subsystem engineers Experience working with external software suppliers Drug Free Workplace:Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Travel:Less than 10%, if anyRelocation:This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.Conflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Manager Level (Level K): $160,650 - $217,350Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 11, 2026 Relocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Missile & Weapon Systems division is seeking a Software Engineering Manager to oversee the Small Diameter Bomb (SDB) software team in St. Charles, MO (St. Louis Metro Area). This Software Manager will lead multiple software teams in the SDB organization, which produces precision-guided weapon systems used by U.S. and allied forces worldwide.The SDB Software Manager will lead, mentor, and develop a team of software engineers, manage performance in line with Boeing values and behaviors, and foster a culture of innovation, collaboration, and compliance with industry standards and best practices. The role will implement strategic business plans and policies to align teamwork with organizational goals, drive process improvements to boost efficiency and productivity, and manage resource allocation to support software engineering initiatives.This proactive manager will collaborate with external suppliers, partners, and cross-functional teams to deliver technical solutions that meet customer needs and regulatory requirements, maintain clear communication and strong relationships with customers and stakeholders to ensure alignment on project objectives, and stay current on emerging technologies and industry trends to guide adoption of relevant innovations. The position will also facilitate regular technical reviews and audits, provide oversight and approval of technical approaches, products, and processes, and ensure that the team's deliverables consistently meet established standards and practices.Join Us. Protect Our Nation and Partners.The Precision Strike organization is a strong and growing business that produces world-class software built exceptional software teams developing Operational Flight Software (OFS), mission planning and weapon control software, resident test software, and other real-time embedded and mission-processing software for SDB and related munition systems. Teams develop in languages such as C++, C, Python, and may integrate with C#, Java, and Qt front ends, delivering to target platforms including Linux, VxWorks, and bare-metal embedded targets.Boeing offers a comprehensive benefits package including substantial Paid Time Off (PTO), flexible work environment, paid parental leave, an Industry Leading 401k matching plan, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. For more information, click here.Position Responsibilities: Manage software engineering team through the software development life cycle. Develops and maintains relationships and partnerships with peers, business partners, customers, and other stakeholders. Oversee software architecture, design, and implementation practices to ensure compliance with Software Engineering Design Practices, safety-critical requirements, and Independent Verification & Validation (IV&V) inputs. Participate in program operating rhythm to include Program Increment (PI) Planning, program risk/issue/opportunity (RIO) process, and EVMS activities. Takes a collaborative approach to develop and execute project and process plans, implement policies and procedures, and develop and maintain roadmaps. Acquires resources for projects and processes and provides oversight and approval of technical approaches in alignment with organizational strategy. Demonstrate a commitment to the mission and motivation to combine the team's energy and expertise to achieve a common objective. Lead technical planning and execution for software scope, schedule, and cost, including Earned Value Management (EVM) duties and reporting.Basic Qualifications (Required Skills/ Experience): 3+ years of experience managing or leading teams in a software engineering discipline 3+ years of experience with project management principles Experience in Agile Software Development Demonstrated ability to provide a high level of customer satisfactionPreferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science or equivalent experience Strong communication skills - written/verbal Experience in developing large-scale software systems Experience developing software for real-time embedded systems More than 3 years of experience managing projects using Earned Value Management System (EVMS) Experience in C++ or Ada Experience working directly with DOD customers or participating in Program Increment (PI) planning and milestone reviews Experience with software requirement development Experience working with system/subsystem engineers Experience working with external software suppliers Drug Free Workplace:Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Travel:Less than 10%, if anyRelocation:This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.Conflict of Interest:Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Manager Level (Level K): $160,650 - $217,350Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Apr. 11, 2026 Relocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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 JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
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 JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.Boeing Defense Space & Security is seeking a Mid-Level or Senior Systems Engineer to join us as part of our Advanced Airborne Sensor (AAS) In-Service and Project Engineering team located in Richardson, TX or Berkeley, MO.The Advanced Airborne Sensor is a multi-function radar used on the P-8 Poseidon. The team is responsible for developing and performing engineering for production, sustainment, modification and improvements of military and commercial derivative aircraft. This position will work closely with the supply chain, suppliers, program manager, contracts, estimating, engineering, and/or customers to execute the program. In this role you integrate technical requirements and schedule demands with suppliers, coordinate engineering support throughout the lifecycle of the product, manage a diverse set of projects, and lead proposal development.Primary Responsibilities Provide technical leadership and day-to-day management of suppliers, including regular engagement with supply chain to monitor and improve supplier performance. Serve as Equipment Manager for multiple sub assemblies. Build and sustain strong partnerships with suppliers, customers, stakeholders, and cross-functional peers. Communicate program status, key risks, issues, and opportunities to customers and leadership, and clearly articulate required support or decisions. Develop clear, compliant supplier statements of work (SSOW) for ongoing and new requirements, and lead execution to ensure on-time, on-scope delivery. Collaborate with customers to define technical requirements and translate them into actionable delivery plans. Generate an effective set of metrics to communicate status of contract deliverables. Manage program deliverables by developing risk-mitigation strategies, tracking issues and opportunities, and monitoring baseline plans to evaluate project performance and capture lessons learned. Communicate technical issues/changes via Change Control Boards and/or Chief Engineer Council Resolve technical problems by coordinating between engineering, operations, and suppliers to implement effective solutions. Support proposal development efforts, including competitive cost estimating, schedule development, and delivery commitments. Track and report progress against cost, schedule, and technical performance using Boeing Program Management Best Practices (PMBP) and Earned Value Management (EVM). Provide additional program support as needed, such as responding to Corrective Action Requests (CARs), supporting export compliance, and leading lean/process improvement initiatives.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.Security Clearance and/ or Export ControlThis position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required) and ability to obtain a Top Secret Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active).Security Clearance and/or Special Program Access or other Government Access requirements are mandatory for this position. Certain Special Programs require that the candidate have only U.S. Citizenship or no dual citizenship. Much of the work at The Boeing Company is of a classified nature and many positions require a security clearance, the granting of which is at the discretion of Government authorities. A final security clearance is mandatory for this position prior to start. If you cannot or do not obtain the required final Security Clearance and/or Special Program Access or other Government Access requirements in a time frame established by program management, this offer may be withdrawn. Once your clearances are granted, if they are not maintained, the result may be reassignment, reclassification, or termination of employment.Basic Qualifications (Required Skills & Experience) Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry 3 or more years of related work experience 5 or more years of experience as a systems engineer with technical knowledge on aircraft subsystems (mechanical and/or electrical) Experience managing supplier performance and/or requirements flow-down Travel Up to 20% travel requiredPreferred Qualifications 5 or more years' related work experience or an equivalent combination of education and experience Excellent written and oral communication, presentation, and interpersonal skills Experience with customer proposals and contracting process Experience in Earned Value ManagementRelocation:This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift. Occasional alternative shifts as needAt Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range for Mid-Level: $112,200 - 162,150Summary pay range for Senior:$136,850 - 197,800 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.Boeing Defense Space & Security is seeking a Mid-Level or Senior Systems Engineer to join us as part of our Advanced Airborne Sensor (AAS) In-Service and Project Engineering team located in Richardson, TX or Berkeley, MO.The Advanced Airborne Sensor is a multi-function radar used on the P-8 Poseidon. The team is responsible for developing and performing engineering for production, sustainment, modification and improvements of military and commercial derivative aircraft. This position will work closely with the supply chain, suppliers, program manager, contracts, estimating, engineering, and/or customers to execute the program. In this role you integrate technical requirements and schedule demands with suppliers, coordinate engineering support throughout the lifecycle of the product, manage a diverse set of projects, and lead proposal development.Primary Responsibilities Provide technical leadership and day-to-day management of suppliers, including regular engagement with supply chain to monitor and improve supplier performance. Serve as Equipment Manager for multiple sub assemblies. Build and sustain strong partnerships with suppliers, customers, stakeholders, and cross-functional peers. Communicate program status, key risks, issues, and opportunities to customers and leadership, and clearly articulate required support or decisions. Develop clear, compliant supplier statements of work (SSOW) for ongoing and new requirements, and lead execution to ensure on-time, on-scope delivery. Collaborate with customers to define technical requirements and translate them into actionable delivery plans. Generate an effective set of metrics to communicate status of contract deliverables. Manage program deliverables by developing risk-mitigation strategies, tracking issues and opportunities, and monitoring baseline plans to evaluate project performance and capture lessons learned. Communicate technical issues/changes via Change Control Boards and/or Chief Engineer Council Resolve technical problems by coordinating between engineering, operations, and suppliers to implement effective solutions. Support proposal development efforts, including competitive cost estimating, schedule development, and delivery commitments. Track and report progress against cost, schedule, and technical performance using Boeing Program Management Best Practices (PMBP) and Earned Value Management (EVM). Provide additional program support as needed, such as responding to Corrective Action Requests (CARs), supporting export compliance, and leading lean/process improvement initiatives.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.Security Clearance and/ or Export ControlThis position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required) and ability to obtain a Top Secret Clearance. (A U.S. Security Clearance that has been active in the past 24 months is considered active).Security Clearance and/or Special Program Access or other Government Access requirements are mandatory for this position. Certain Special Programs require that the candidate have only U.S. Citizenship or no dual citizenship. Much of the work at The Boeing Company is of a classified nature and many positions require a security clearance, the granting of which is at the discretion of Government authorities. A final security clearance is mandatory for this position prior to start. If you cannot or do not obtain the required final Security Clearance and/or Special Program Access or other Government Access requirements in a time frame established by program management, this offer may be withdrawn. Once your clearances are granted, if they are not maintained, the result may be reassignment, reclassification, or termination of employment.Basic Qualifications (Required Skills & Experience) Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry 3 or more years of related work experience 5 or more years of experience as a systems engineer with technical knowledge on aircraft subsystems (mechanical and/or electrical) Experience managing supplier performance and/or requirements flow-down Travel Up to 20% travel requiredPreferred Qualifications 5 or more years' related work experience or an equivalent combination of education and experience Excellent written and oral communication, presentation, and interpersonal skills Experience with customer proposals and contracting process Experience in Earned Value ManagementRelocation:This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift. Occasional alternative shifts as needAt Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range for Mid-Level: $112,200 - 162,150Summary pay range for Senior:$136,850 - 197,800 Applications for this position will be accepted until Apr. 10, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shift Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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 JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
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 JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (FM Hosting)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Senior Lead AI Engineer (FM Hosting)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peersCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Date Posted: 2026-03-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms, and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Location: Aurora, CO What You Will Do Provide integration support for external or internal development and installation activities affecting Ground Terminal Operations and Maintenance (O&M) Provide assistance in understanding Site Integration Specifications and Site Processes Support and execute Site Integration Specification project milestones Generate, submit, and track Maintenance Activities (MAs) for all ground terminal O&M needs Coordinate and plan ground terminal activities with other site organizations as required Generate and brief ground terminal chart packages to organizational freeze boards, as required Coordinate and facilitate integrated product team (IPT) briefings Maintain team master schedule to include Site Integration Specification milestones for O&M projects Monitor and review open items (discrepancy reports) through closure Review and monitor external MAs for potential impacts to the O&M team Perform risk assessment and impact analysis of internal and external O&M activities Facilitate group review and consolidate comments for updates to Site Operating Instructions Maintain O&M team work instructions for integration activities Maintain Customer-directed metrics for the O&M team Update/maintain O&M Integration web pages using JIRA/Confluence tools Maintain O&M Team configuration management (CM) records using Site tools Perform annual O&M Baseline Audit activities based on Site requirements What You Will Learn Specific customer O&M mission objectives and requirements supporting national assets Qualifications You Must Have Typically requires a Bachelor's in science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience or equivalent experience. 5+ years in operations or maintenance of ground segment hardware/software systems Active and transferable U.S. government issued TS/SCI security clearance with C.I. polygraph security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience in planning, scheduling, and maintaining operational systems Experience with integration of updated hardware/software into existing systems Technical knowledge/expertise in aerospace ground segment environments 3+ years experience at Site or Site-related developments Experience with MS Excel and other Office software tools Experience with JIRA/Confluence Experience with Athena Experience with technical writing and briefings Experience managing and prioritizing multiple tasks under stressful conditions What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires ability to obtain a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Not relocation eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/08/2026
Full time
Date Posted: 2026-03-24 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms, and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Location: Aurora, CO What You Will Do Provide integration support for external or internal development and installation activities affecting Ground Terminal Operations and Maintenance (O&M) Provide assistance in understanding Site Integration Specifications and Site Processes Support and execute Site Integration Specification project milestones Generate, submit, and track Maintenance Activities (MAs) for all ground terminal O&M needs Coordinate and plan ground terminal activities with other site organizations as required Generate and brief ground terminal chart packages to organizational freeze boards, as required Coordinate and facilitate integrated product team (IPT) briefings Maintain team master schedule to include Site Integration Specification milestones for O&M projects Monitor and review open items (discrepancy reports) through closure Review and monitor external MAs for potential impacts to the O&M team Perform risk assessment and impact analysis of internal and external O&M activities Facilitate group review and consolidate comments for updates to Site Operating Instructions Maintain O&M team work instructions for integration activities Maintain Customer-directed metrics for the O&M team Update/maintain O&M Integration web pages using JIRA/Confluence tools Maintain O&M Team configuration management (CM) records using Site tools Perform annual O&M Baseline Audit activities based on Site requirements What You Will Learn Specific customer O&M mission objectives and requirements supporting national assets Qualifications You Must Have Typically requires a Bachelor's in science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience or equivalent experience. 5+ years in operations or maintenance of ground segment hardware/software systems Active and transferable U.S. government issued TS/SCI security clearance with C.I. polygraph security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience in planning, scheduling, and maintaining operational systems Experience with integration of updated hardware/software into existing systems Technical knowledge/expertise in aerospace ground segment environments 3+ years experience at Site or Site-related developments Experience with MS Excel and other Office software tools Experience with JIRA/Confluence Experience with Athena Experience with technical writing and briefings Experience managing and prioritizing multiple tasks under stressful conditions What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires ability to obtain a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Not relocation eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.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 Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.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 Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
04/08/2026
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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 EngineerOverview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/08/2026
Lead AI EngineerOverview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
04/08/2026
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
04/08/2026
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Defense, Space & Security (BDS) team is seeking a experienced Hardware Systems Engineer - Fighters Mission Systems located in Berkeley, MO.Who We Are: The Fighter Mission Systems Navigation, Data Link, and Displays Hardware Team works with suppliers, programs, and customers to develop, qualify, test, and deliver hardware (including its software & firmware) in support of the Boeing Fighters platforms. The team also provides expert technical assistance to government customers on the integration of government developed and/or purchased (GFE) navigation and data link systems onto both the F-15 and F/A-18 aircraft. The high performing and fast paced Navigation, Data Link, and Displays team is currently engaged in a number of exciting and high-profile development projects for both the F-15 platform (both USAF and foreign customers) as well as the F/A-18. These efforts are key to many of our customers achieving their operational goals.What You Bring: Ability to support the engineering design, development, and analysis of commodities assigned to ensure seamless integration into higher level systems and platforms. Consultative experience in the design, development, integration, test, and operational capability of various USAF, USN, and international programs. Development, validation, and verification of requirements. Overseeing the definition and execution of critical tests of various kinds to validate performance of designs to requirements. Assist in monitoring supplier performance to ensure system integration and compliance with requirements baseline. Provide technical leadership for critical aspects of supplier and partner performance to ensure compliance to requirements. Support the products throughout their lifecycle from manufacturing to customer use Mentor to less senior/experienced team members.Both domestic and international travel is expected as a part of this role.Position Responsibilities: Works with customers to develop and document complex electronic and electrical system requirements. Analyzes and translates requirements into system, hardware and software designs and interface specifications. Tests and validates to ensure system designs meet operational and functional requirements. Monitors supplier performance to ensure system integration and compliance with requirements. Solves problems concerning and provides other support of fielded hardware and software over the entire product lifecycle. Research specific technology advances for potential application to company business needs.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship as a condition of employment. An interim and/or final U.S. Secret Clearance Post-Start is required.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 5+ years of work-related experience plus a Bachelors degree OR 3+ years of work-related experience plus a Masters degree OR work-related experience plus a PhDPreferred Qualifications (Desired Skills/Experience): Prior experience with DOORS Prior experience working in an Avionics/Mission Systems discipline Prior experience as a HW Engineer Basic understanding of Model Based Systems Engineering Prior experience developing/working on displays Prior experience in supporting technical supplier development effortsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education/Experience:Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation:This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range:Level 3: $96,050 - $129,950Boeing offers the best benefits in Aerospace:Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs.Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shiftContingent Upon Program Reward The position is contingent upon program award Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
04/08/2026
Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Defense, Space & Security (BDS) team is seeking a experienced Hardware Systems Engineer - Fighters Mission Systems located in Berkeley, MO.Who We Are: The Fighter Mission Systems Navigation, Data Link, and Displays Hardware Team works with suppliers, programs, and customers to develop, qualify, test, and deliver hardware (including its software & firmware) in support of the Boeing Fighters platforms. The team also provides expert technical assistance to government customers on the integration of government developed and/or purchased (GFE) navigation and data link systems onto both the F-15 and F/A-18 aircraft. The high performing and fast paced Navigation, Data Link, and Displays team is currently engaged in a number of exciting and high-profile development projects for both the F-15 platform (both USAF and foreign customers) as well as the F/A-18. These efforts are key to many of our customers achieving their operational goals.What You Bring: Ability to support the engineering design, development, and analysis of commodities assigned to ensure seamless integration into higher level systems and platforms. Consultative experience in the design, development, integration, test, and operational capability of various USAF, USN, and international programs. Development, validation, and verification of requirements. Overseeing the definition and execution of critical tests of various kinds to validate performance of designs to requirements. Assist in monitoring supplier performance to ensure system integration and compliance with requirements baseline. Provide technical leadership for critical aspects of supplier and partner performance to ensure compliance to requirements. Support the products throughout their lifecycle from manufacturing to customer use Mentor to less senior/experienced team members.Both domestic and international travel is expected as a part of this role.Position Responsibilities: Works with customers to develop and document complex electronic and electrical system requirements. Analyzes and translates requirements into system, hardware and software designs and interface specifications. Tests and validates to ensure system designs meet operational and functional requirements. Monitors supplier performance to ensure system integration and compliance with requirements. Solves problems concerning and provides other support of fielded hardware and software over the entire product lifecycle. Research specific technology advances for potential application to company business needs.This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship as a condition of employment. An interim and/or final U.S. Secret Clearance Post-Start is required.Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry 5+ years of work-related experience plus a Bachelors degree OR 3+ years of work-related experience plus a Masters degree OR work-related experience plus a PhDPreferred Qualifications (Desired Skills/Experience): Prior experience with DOORS Prior experience working in an Avionics/Mission Systems discipline Prior experience as a HW Engineer Basic understanding of Model Based Systems Engineering Prior experience developing/working on displays Prior experience in supporting technical supplier development effortsConflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process.Typical Education/Experience:Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.Relocation:This position offers relocation based on candidate eligibility.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This position is for 1st shift.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range:Level 3: $96,050 - $129,950Boeing offers the best benefits in Aerospace:Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs.Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Applications for this position will be accepted until Apr. 13, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. -120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shiftContingent Upon Program Reward The position is contingent upon program award Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
04/08/2026
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 - DSP Job Code: 34665 Job Location: Rochester, NY Job Schedule: 9/80; Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The L3Harris Communications and Mission Critical Communications sector is seeking a highly motivated, team oriented digital signal processing software design engineer who will lead a cross functional team with hands on responsibility for all phases of the software development process from requirements definition through integration and testing of completed product. Emphasis will be on waveform design and digital signal processing for digital communications. Other responsibilities will include high-level design, detailed design, simulation, implementation, testing and documentation. Experience with leading collaborative software design/development/test teams is expected. Experience with digital signal processing (DSP), embedded C++/C and MATLAB is expected. Experience working with Agile Scrum, and DevOps-based software development is desired. Experience in engineering requirements analysis, development, and testing is desired. Essential Functions: The responsibilities and duties of this position include but are not limited to: Research, design, develop, modify and evaluate embedded software for electronic or other communications systems in conjunction with hardware product development. Lead and contribute to the execution of the assigned portion of the entire product development cycle in an Agile Scrum framework. Perform detailed analysis including: requirements analysis, use case scenarios, conceptual design, trade studies, test, operation, maintenance, and reliability analysis of radio communications products, internal subsystems, and external systems. Work with test, manufacturing, product and program management and others to define and execute radio product development and deliver high-quality radio products. Ensure the conversion of customer requirements, including informal requirements, into total systems solutions that balance the technical, schedule and cost constraints of the program. Consult with electrical engineers and other engineering staff to evaluate interface between hardware and software and operational performance requirements of the overall system. Develop software system testing procedures and design documentation. Exhibit effective interpersonal skills and the ability to convey technical matters in a clear and logical manner. Have the opportunity to stay up to date with the latest advancements in DSP technology and apply new techniques and methodologies. Contribute to the strategic direction of DSP solutions and identify opportunities for innovation and improvement. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Ability to Obtain US Security Clearance Qualifications: Bachelors degree in Engineering discipline with a minimum 9 years of relevant experience developing real-time embedded software in C or C++. 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. Preferred Additional Skills: Experience developing designing, developing, and implementing DSP algorithms. Experience simulating and analyzing DSP algorithms. Ability to interpret hardware schematics, circuit designs, and datasheets. Proficiency with multi-threaded, multi-core design and/or real-time operating systems. Experience with all phases of the software project development life cycle, including software analysis, design, development, testing (including software unit testing), and automation tools. Experience in Agile software development methodologies using an iterative, time-boxed development process (SCRUM). Experience/knowledge of Capability Maturity Model Integration (CMMI) systems and software development processes or other defined SW development processes. Strong verbal and written communication skills. Demonstrated ability to analyze and debug software and related hardware issues. Experience working in or with FPGA design, development and test teams. Radio communications or IP networking experience. Experience with small team leadership including planning, coaching, tracking performance and identifying and applying course corrections to keep the team on track. In compliance with pay transparency requirements, the salary range for this role in New York State is $117,000 - $218,000. 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.
