This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). Remote work requests will be considered consistent with company's remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position. This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. Will accept any suitable combination of education, training, and experience. Must possess unrestricted right to work in the U.S. in this position Base Salary Compensation: $117,957 - $123,010 per year Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 001_MstarInc Morningstar Inc. Legal Entity
09/22/2026
Full time
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Architect and lead the development of scalable AI and cloud-native Agentic solutions using OpenAI, Azure, and AWS to enhance financial data acquisition and automation capabilities; spearhead the design and implementation of AI-powered transcription platforms, driving significant improvements in speed and efficiency (10%). Design, code, debug, maintain, and upgrade high-performance software systems, ensuring system performance, reliability, and maintainability (10%). Provide technical leadership across multiple engineering teams, guiding day-to-day development activities and architectural decision-making (10%). Lead cross-functional collaboration with Application Architects, Systems Engineers, DevOps/SRE, and business stakeholders to ensure alignment between technical solutions and business objectives (10%). Advocate and enforce global best practices for product performance, reliability, scalability, security, and code reusability (5%). Conduct architectural design and system planning, ensuring scalable solutions that balance technical excellence with financial sector business needs (20%). Enforce coding standards and software engineering best practices for applications across development teams (10%). Lead DevOps efforts with Docker, Kubernetes, and AWS Fargate; implemented CI/CD pipelines with SonarQube and automated infrastructure deployments (10%). Make strategic infrastructure decisions, monitor operational costs, and implement optimizations to reduce spend and improve system efficiency (10%). Attend team meetings to facilitate brainstorming, problem-solving, and project updates, fostering a culture of innovation and technical rigor (5%). Remote work requests will be considered consistent with company's remote work policy. Job Requirements: This position requires a Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 8 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position; or a Master's degree in Computer Science, Computer Engineering, Information Technology, or a technology-related filed or foreign equivalent and 6 years of software engineering experience in Lead, Principal, Senior, Associate Software Engineer, Developer, or related position. This position also requires 5 years of experience in designing scalable AI and cloud-native solutions using AWS, Azure OpenAI or similar Cloud platforms; 5 years of experience developing commercial quality software products and solutions particularly focused on distributed and real-time systems; 5 years of experience with a variety of technology components and stacks, including Python and Java; 5 years of experience with performance, reliability, scalability, security, and reusability tactics and strategies; 5 years of experience defining, refining, and maintaining application architectures for sophisticated end-user software products; 5 years of experience with troubleshooting and debugging skills; 3 years of experience mentoring and leading engineering teams; 3 years of experience in machine learning, including model development and deployment in production environments; 3 years of experience building and delivering proof-of-concepts (POCs) to validate technical solutions; 3 years of experience with AWS cloud platforms and SaaS architectures; 3 years of experience DevOps, implementing CI/CD pipelines, containerizing using Docker and orchestration using Kubernetes/AWS Fargate; 3 years of experience in agile development practices including scrum and scaled agile. Will accept any suitable combination of education, training, and experience. Must possess unrestricted right to work in the U.S. in this position Base Salary Compensation: $117,957 - $123,010 per year Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 001_MstarInc Morningstar Inc. Legal Entity
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually
09/22/2026
Full time
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions-including sponsored, display, video, and custom ads-leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We are looking for a Senior Software Developer with a passion for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising programs including Display, Video, Mobile and Kindle. Our team builds end-to-end solutions including data pipelines, large scale index data structures, time series models, software services and large scale data visualizations. Our systems are based on a mix of AWS and third-party technologies, using ones that make the best sense in a given scenario. Key job responsibilities - Own backend data pipelines, indexing systems and service & API layer application support. - Work closely with a group of highly talented and motivated software and data science engineers who build systems and models used to analyze petabytes of data - Build systems and models to analyze supply and demand side of our advertising business and devise optimization methods. - Work on analyzing exchange bidding behavior, time series modeling, optimal inventory allocation and many other exciting problems posed by a advertising business - Invent ways to overcome technical limitations and enable new forms of analyses that drive key business decisions - Investigate new technologies and champion adoption within the team - Work on a platform that spans Hadoop, Map/Reduce, Pig, FastBit, Redshift, and S3 using programming languages such as Java, C++ and Python - Mentor junior team members - Directly participate in setting the vision and objectives for strategic Amazon goals, in alignment with business needs and ad market dynamics. - Find new ways to use variety of Amazon's data sets to help one of the fastest growing businesses within Amazon BASIC QUALIFICATIONS - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Experience with and deep understanding of advertising technologies (i.e., ad server, DSP) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Palo Alto - 193 500.00 USD annually USA, NY, New York - 184 200.00 USD annually
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Embedded Software Engineer (Optical Space Payload Integration) : Sign-on bonus ($15K max) Job Code: 42852 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: L3Harris Space and Airborne Systems is seeking an Embedded Software Integration Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. Responsibilities include designing, developing, and implementing algorithms, controls, and subsystems for aerospace applications. The role involves the complete software lifecycle from development to testing to operation during missions. This is a hands-on role where you'll leverage Hardware in the Loop (HIL) and Software in the Loop (SIL) methodologies to ensure robust, high-fidelity testing of complex aerospace systems. Essential Functions: Work with high performing teams building embedded software & EGSE solutions Provide technical leadership through refining requirements, creating user stories, and driving collaborative designs in an Agile environment Develop and integrate software for aerospace subsystems using HIL/SIL environments Architect and implement automated infrastructure for space payloads Design and execute test plans, procedures, and reports ensuring full traceability Configure/document multi device hardware/software systems under test Work hands on with flight hardware, EGSE, and imaging technologies Utilize tools such as COSMOS, Ruby, LabVIEW, TestStand, MATLAB, Simulink, and DevOps platforms (Jira, Bitbucket, Jenkins, Confluence) Ability to obtain a U.S. Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 4 years of relevant experience; OR Graduate Degree with 2 years of relevant experience; OR 8 years of relevant experience in lieu of a degree. Professional experience in embedded systems integration & test (software/hardware) 2+ years experience working with C/C++, Python, Linux, RTOS Professional hands-on experience with HIL/SIL Experience working in an Agile software development environment Preferred Additional Skills: Active Top Secret or TS/SCI clearance preferred Space payload I&T and ground equipment development Space vehicle development/integration experience Familiarity with lasers, image processors, visible/IR cameras, servo motors, actuators, focus mechanisms Knowledge of the space domain and mission applications Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Working knowledge of image processors, visible cameras, IR detectors, servo motors, actuators and focus mechanisms. Familiarity with Cyber compliance tools (e.g., Fortify Workbench, SonarQube). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $97,000.00 - $180,000.00. 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.
09/22/2026
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: Specialist, Embedded Software Engineer (Optical Space Payload Integration) : Sign-on bonus ($15K max) Job Code: 42852 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: L3Harris Space and Airborne Systems is seeking an Embedded Software Integration Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. Responsibilities include designing, developing, and implementing algorithms, controls, and subsystems for aerospace applications. The role involves the complete software lifecycle from development to testing to operation during missions. This is a hands-on role where you'll leverage Hardware in the Loop (HIL) and Software in the Loop (SIL) methodologies to ensure robust, high-fidelity testing of complex aerospace systems. Essential Functions: Work with high performing teams building embedded software & EGSE solutions Provide technical leadership through refining requirements, creating user stories, and driving collaborative designs in an Agile environment Develop and integrate software for aerospace subsystems using HIL/SIL environments Architect and implement automated infrastructure for space payloads Design and execute test plans, procedures, and reports ensuring full traceability Configure/document multi device hardware/software systems under test Work hands on with flight hardware, EGSE, and imaging technologies Utilize tools such as COSMOS, Ruby, LabVIEW, TestStand, MATLAB, Simulink, and DevOps platforms (Jira, Bitbucket, Jenkins, Confluence) Ability to obtain a U.S. Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 4 years of relevant experience; OR Graduate Degree with 2 years of relevant experience; OR 8 years of relevant experience in lieu of a degree. Professional experience in embedded systems integration & test (software/hardware) 2+ years experience working with C/C++, Python, Linux, RTOS Professional hands-on experience with HIL/SIL Experience working in an Agile software development environment Preferred Additional Skills: Active Top Secret or TS/SCI clearance preferred Space payload I&T and ground equipment development Space vehicle development/integration experience Familiarity with lasers, image processors, visible/IR cameras, servo motors, actuators, focus mechanisms Knowledge of the space domain and mission applications Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Working knowledge of image processors, visible cameras, IR detectors, servo motors, actuators and focus mechanisms. Familiarity with Cyber compliance tools (e.g., Fortify Workbench, SonarQube). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $97,000.00 - $180,000.00. 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: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. 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.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - User Acceptance Tester Job Code: 42626 Job Location: Springfield, VA (100% Onsite) Work Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a User Acceptance Tester with expertise in Test and Integration for an important National Security Program. The successful candidate will support a high performing team of Government and Contractor professionals by testing software releases to ensure they function correctly, documenting failed test cases, and documenting any changes or updates needed to existing procedures. This role is critical in maintaining the integrity and performance of our software products. Essential Functions: Design, develop, and manage test cases, including traceability to requirements, user stories, etc. Execute software testing events using industry-accepted test tools. Participate in User Acceptance Testing (UAT) and Government Acceptance Testing (GGAT) exercises. Document and report any bugs, issues, discrepancies, or failed test cases found during testing government defect tracking tool. Develop/deliver test reports as well as present finding to project stakeholders. Able to independently develop and precisely follow test scripts with attention to detail, document findings. Use strong written and verbal communication skills, with experience updating senior leadership. Able to work independently with minimum supervision. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active Top Secret/SCI with CI Polygraph 5+ years of software integration and test experience with a focus on user acceptance testing (UAT). Experience developing and executing manual and automated software tests. Experience using industry-accepted test automation tools, such as Test Complete or Selenium. Experience using industry-accepted requirements repository and defect tracking tools (ex. Backlog, Bugzilla, Jira, etc.) Preferred Additional Skills: Knowledge of NRO organization and operational missions. Relevant certification or coursework (e.g., ISTQB Certified Tester - Acceptance Testing (CT-AcT). In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area is $106,500 - $197,500.00. 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.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts BASIC QUALIFICATIONS - 5+ years of technical specialist, design and architecture experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Bachelor's degree in computer science, engineering, mathematics or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually
09/22/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts BASIC QUALIFICATIONS - 5+ years of technical specialist, design and architecture experience - 5+ years of software development with object oriented language experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Bachelor's degree in computer science, engineering, mathematics or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Arlington - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
09/22/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. 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.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. 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.
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: FPGA EW Design Engineer Job Code: 41806 Job Location: Salt lake City Job Schedule: 9/80, employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off We are seeking an experienced FPGA Design Engineer to help develop advanced electronic warfare (EW) and wireless digital communications systems. Ideal candidates bring experience in EW, wireless communications, modems, and/or digital signal processing (DSP). You will contribute across the full design lifecycle, including proposals, requirements definition, RTL development, simulation, synthesis, place-and-route, verification and test, system integration, and field support. This role offers challenging technical work within a collaborative team of talented engineers and opportunities to work independently while leading small teams of technical contributors. Located in Salt Lake City, this position also offers access to exceptional year-round outdoor recreation and cultural experiences, supported by L3Harris's commitment to work-life balance. Candidates with experience or education in one or more of the following areas are encouraged to apply: Electronic warfare (EW) Signal detection, classification, and identification Radar systems and signal processing Advanced digital signal processing (DSP) techniques Digital modulation and demodulation Forward error correction (FEC) Machine learning FPGA verification using simulation and unit testing Experience developing in VHDL (preferred) or Verilog Minimum Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Current DOD clearance or the ability to aquire one. Preferred Qualifications: Master's degree in computer science, computer engineering, software engineering, or electrical engineering Experience leading small engineering teams or technical contributors Experience developing electronic support (ES) and/or electronic attack (EA) signal-processing capabilities Experience implementing complex modem and/or DSP algorithms in FPGA-based programmable logic; comparable ASIC design experience is also applicable Experience implementing industry-standard interfaces, such as 10/100/1000 Ethernet, SPI, UART, SDRAM, DDR3, JESD, and PCIe Experience with FPGA simulation, synthesis, and implementation tools, such as ModelSim, Synplify, AMD Xilinx Vivado/ISE, and/or Intel Quartus Experience with high-speed serial FPGA interfaces operating at 3 Gbps or greater Experience achieving timing closure in large FPGA designs Experience with high-level synthesis (HLS) Hands-on laboratory debug experience using signal generators, digital oscilloscopes, logic analyzers, bit-error-rate testers (BERTs), and other advanced measurement equipment Familiarity with Git source control Familiarity with C, C++, C#, MATLAB, and/or Simulink 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.
09/22/2026
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: FPGA EW Design Engineer Job Code: 41806 Job Location: Salt lake City Job Schedule: 9/80, employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off We are seeking an experienced FPGA Design Engineer to help develop advanced electronic warfare (EW) and wireless digital communications systems. Ideal candidates bring experience in EW, wireless communications, modems, and/or digital signal processing (DSP). You will contribute across the full design lifecycle, including proposals, requirements definition, RTL development, simulation, synthesis, place-and-route, verification and test, system integration, and field support. This role offers challenging technical work within a collaborative team of talented engineers and opportunities to work independently while leading small teams of technical contributors. Located in Salt Lake City, this position also offers access to exceptional year-round outdoor recreation and cultural experiences, supported by L3Harris's commitment to work-life balance. Candidates with experience or education in one or more of the following areas are encouraged to apply: Electronic warfare (EW) Signal detection, classification, and identification Radar systems and signal processing Advanced digital signal processing (DSP) techniques Digital modulation and demodulation Forward error correction (FEC) Machine learning FPGA verification using simulation and unit testing Experience developing in VHDL (preferred) or Verilog Minimum Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Current DOD clearance or the ability to aquire one. Preferred Qualifications: Master's degree in computer science, computer engineering, software engineering, or electrical engineering Experience leading small engineering teams or technical contributors Experience developing electronic support (ES) and/or electronic attack (EA) signal-processing capabilities Experience implementing complex modem and/or DSP algorithms in FPGA-based programmable logic; comparable ASIC design experience is also applicable Experience implementing industry-standard interfaces, such as 10/100/1000 Ethernet, SPI, UART, SDRAM, DDR3, JESD, and PCIe Experience with FPGA simulation, synthesis, and implementation tools, such as ModelSim, Synplify, AMD Xilinx Vivado/ISE, and/or Intel Quartus Experience with high-speed serial FPGA interfaces operating at 3 Gbps or greater Experience achieving timing closure in large FPGA designs Experience with high-level synthesis (HLS) Hands-on laboratory debug experience using signal generators, digital oscilloscopes, logic analyzers, bit-error-rate testers (BERTs), and other advanced measurement equipment Familiarity with Git source control Familiarity with C, C++, C#, MATLAB, and/or Simulink 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.
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Sr. Manager, AI Engineer (IFX) 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. What You'll Do: 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 Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more Invent and introduce state-of-the-art foundation model 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 Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance Track record mentoring engineers/scientists to productize prototypes and meet production SLOs Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Manager, AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/22/2026
Full time
Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). 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 Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. 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.
09/22/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Integration & Test Engineer Job Code: 42447 Job Location: Melbourne, Florida Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off Job Description: L3Harris Intelligence & Cyber Sector, within the Space and Mission Systems Segment, is seeking an experienced System Software Integration and Test Engineer to support complex cyber-resilient, cloud-based solutions across the full product lifecycle. The selected candidate will lead and support system integration and test activities, including requirements analysis for testability, test architecture development, integration planning, verification execution, anomaly resolution, and production support, while developing and executing test plans, procedures, and integration flows for subsystems, lower-level assemblies, and end-to-end First Article testing. Additional responsibilities include coordinating integration activities across test beds, hardware/software-in-the-loop environments, and software simulators developed internally and by subcontractors. The engineer will define and implement verification strategies, support requirements traceability and compliance, evaluate subsystem- and system-level performance, and collaborate cross-functionally with systems engineering, software engineering, quality, operations, and external partners to resolve technical issues and ensure successful execution of system-level integration and verification objectives. The ideal candidate will have experience with complex system integration, aerospace or spacecraft test environments, and structured verification and validation processes. Essential Functions: Oversee the integration and testing of lower-level software components through subsystem and application-level verification. Develop and maintain test documentation, including Test Requirements Documents, Test Design Documents (TDDs), Test Plans, and test procedures. Support and direct personnel in the execution of secure software solutions, including vulnerability scanning, secure interface verification, continuous update testing, and compliance documentation validation prior to release. Develop and execute functional, performance, integration, and qualification test procedures, and document results to verify compliance with program requirements. Support test environment setup, script development, test procedure development, implementation, checkout of software test platforms, and evaluation of analysis tools, as required. Identify, document, track, and assist in resolving software integration and test issues through closure. Analyze test results, identify anomalies, and collaborate with development teams to determine root cause and support corrective actions. Represent Software Integration and Test in major technical reviews, including SRR, SDR, PDR, CDR, and TRR. Partner with cross-functional teams, including Systems Engineering, Project Engineering, Cybersecurity, and Software Engineering, during requirements analysis and verification planning, including development and maintenance of the Requirements Verification Traceability Matrix (RVTM). Support secure software deployment activities and ensure verification of software baselines, interfaces, and configuration changes. Work extended and weekend hours, as needed, during critical program integration and test phases. Be available to travel up to 10%, as required. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: 2+ years of network administration experience including configuration of firewalls, VPNs, zero-trust models in support of software-defined cloud networking. 2+ years with CRA Software integration, testing, and troubleshooting. Experience working on defense systems, including space payloads, spacecraft buses, ground systems, and environmental testing. Experience with the five pillars of cyber resilience; prepare/identify, protect, detect, respond, and recover. Experience with hardware and software requirements testability, requirements definition, block diagrams, interconnect diagrams, and hardware/software integration. Experience using DOORS and/or MBSE tools such as Cameo and Magic Draw are a plus. Experience with automation and scripting languages such as Java, Python, and Perl. Experience with Jira, Bitbucket, Confluence, and source control tools. Hands-on experience with RF test and measurement equipment, including modems, emulators, spectrum analyzers, network analyzers, logic analyzers, signal generators, oscilloscopes, and power sensors, in support of integration, verification, and system performance evaluation. 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.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
09/22/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
09/22/2026
Full time
Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC
09/22/2026
Full time
Job Description Job Description Overview Junior Video Teleconference Technician Washington, DC Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers. The Junior Video Teleconference Technician provides support for SSP Information Operations AV/VTC equipment, including CODECs, AV/VTC network connections and controllers, wired/wireless interfaces, audio controllers, data interfaces, Cable TV, CCTV, other miscellaneous AV/VTC equipment, and other commonly used peripherals within the government computing environment. Responsibilities Set up administrator and service accounts for SSP network desktop and conference room VTC devices. Update and maintain AV/VTC deployments using government-supplied and/or other approved hardware, subsequent upgrades/patches/versions/releases, and AV/VTC unique applications. Ensure compliance as outlined in the AV/VTC Security Technical Implementation Guide (STIG) on all SSP Information Operations AV/VTC setups. Provide Standard and Advanced AV/VTC support for hardware and software configuration, troubleshooting, and problem resolution enterprise-wide. Provide technical support for AV/VTC update software installation and configuration issues and provide resolution. Input, update, and maintain trouble tickets using the Heat Helpdesk Software application. Independently diagnose and resolve complex technical issues related to VTC equipment and software, ensuring minimal disruption to scheduled meetings. Make real-time decisions during critical situations, such as technical failures during important video conferences, by troubleshooting and implementing quick fixes. Provide oversight to VTC operations to ensure they comply with industry standards and regulations, making decisions to align with legal and security requirements. Other duties as assigned Qualifications Associate's degree or higher from an accredited institution and 1+ years of experience OR High School Diploma or GED equivalent and 2+ years of experience CompTIA Certification A+, Network+ or Security+ Cisco/Tandberg technician training Secret clearance required Preferred Qualifications: Installing and maintaining baseline VTC system configurations preferred Knowledge of Cisco Call Manager and VOIP connections preferred Knowledge in installing, troubleshooting, servicing, and repairing video conferencing equipment and components, cables, connectors, and peripherals on a variety of network configurations preferred Knowledge, Skills and Abilities: The ability to make informed, independent decisions ensures that VTC systems remain operational, secure, and aligned with the organization's goals and requirements. Knowledge of Audio-Visual Technology Knowledge of Automation and Enhancement How you'll grow At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers. Benefits At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits. Learn more about what working at Chenega MIOS can mean for you. Chenega MIOS's culture Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives. Corporate citizenship Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Chenega's impact on the world. Chenega MIOS News- Tips from your Talent Acquisition Team We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links: Chenega MIOS web site - Glassdoor at-Chenega-MIOS- EI_IE369514.11,23.htm LinkedIn - Facebook - Defense & Aerospace Solutions, LLC
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: Specialist, Embedded Software Engineer (Optical Space Payload Integration) : Sign-on bonus ($15K max) Job Code: 42852 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: L3Harris Space and Airborne Systems is seeking an Embedded Software Integration Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. Responsibilities include designing, developing, and implementing algorithms, controls, and subsystems for aerospace applications. The role involves the complete software lifecycle from development to testing to operation during missions. This is a hands-on role where you'll leverage Hardware in the Loop (HIL) and Software in the Loop (SIL) methodologies to ensure robust, high-fidelity testing of complex aerospace systems. Essential Functions: Work with high performing teams building embedded software & EGSE solutions Provide technical leadership through refining requirements, creating user stories, and driving collaborative designs in an Agile environment Develop and integrate software for aerospace subsystems using HIL/SIL environments Architect and implement automated infrastructure for space payloads Design and execute test plans, procedures, and reports ensuring full traceability Configure/document multi device hardware/software systems under test Work hands on with flight hardware, EGSE, and imaging technologies Utilize tools such as COSMOS, Ruby, LabVIEW, TestStand, MATLAB, Simulink, and DevOps platforms (Jira, Bitbucket, Jenkins, Confluence) Ability to obtain a U.S. Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 4 years of relevant experience; OR Graduate Degree with 2 years of relevant experience; OR 8 years of relevant experience in lieu of a degree. Professional experience in embedded systems integration & test (software/hardware) 2+ years experience working with C/C++, Python, Linux, RTOS Professional hands-on experience with HIL/SIL Experience working in an Agile software development environment Preferred Additional Skills: Active Top Secret or TS/SCI clearance preferred Space payload I&T and ground equipment development Space vehicle development/integration experience Familiarity with lasers, image processors, visible/IR cameras, servo motors, actuators, focus mechanisms Knowledge of the space domain and mission applications Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Working knowledge of image processors, visible cameras, IR detectors, servo motors, actuators and focus mechanisms. Familiarity with Cyber compliance tools (e.g., Fortify Workbench, SonarQube). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $97,000.00 - $180,000.00. 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.
09/22/2026
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: Specialist, Embedded Software Engineer (Optical Space Payload Integration) : Sign-on bonus ($15K max) Job Code: 42852 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) Relocation: Relocation assistance is available to qualified applicants Sign-On Bonus: A sign-on bonus of up to $15K may be included as part of an offer package for this level Job Description: L3Harris Space and Airborne Systems is seeking an Embedded Software Integration Engineer for our Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. Responsibilities include designing, developing, and implementing algorithms, controls, and subsystems for aerospace applications. The role involves the complete software lifecycle from development to testing to operation during missions. This is a hands-on role where you'll leverage Hardware in the Loop (HIL) and Software in the Loop (SIL) methodologies to ensure robust, high-fidelity testing of complex aerospace systems. Essential Functions: Work with high performing teams building embedded software & EGSE solutions Provide technical leadership through refining requirements, creating user stories, and driving collaborative designs in an Agile environment Develop and integrate software for aerospace subsystems using HIL/SIL environments Architect and implement automated infrastructure for space payloads Design and execute test plans, procedures, and reports ensuring full traceability Configure/document multi device hardware/software systems under test Work hands on with flight hardware, EGSE, and imaging technologies Utilize tools such as COSMOS, Ruby, LabVIEW, TestStand, MATLAB, Simulink, and DevOps platforms (Jira, Bitbucket, Jenkins, Confluence) Ability to obtain a U.S. Security Clearance Qualifications: Bachelor's degree in Computer Engineering, Computer Science, or related field with 4 years of relevant experience; OR Graduate Degree with 2 years of relevant experience; OR 8 years of relevant experience in lieu of a degree. Professional experience in embedded systems integration & test (software/hardware) 2+ years experience working with C/C++, Python, Linux, RTOS Professional hands-on experience with HIL/SIL Experience working in an Agile software development environment Preferred Additional Skills: Active Top Secret or TS/SCI clearance preferred Space payload I&T and ground equipment development Space vehicle development/integration experience Familiarity with lasers, image processors, visible/IR cameras, servo motors, actuators, focus mechanisms Knowledge of the space domain and mission applications Experience in Command & Control Software, Sensor Processing Systems, and Optical Systems/telescopes. Experience in estimating large software programs for new business opportunities. Proficiency in release engineering, change and configuration management, and continuous integration. Experience in developing software for microcontrollers with interfaces (e.g., I2C, SPI, UART, CAN). Working knowledge of image processors, visible cameras, IR detectors, servo motors, actuators and focus mechanisms. Familiarity with Cyber compliance tools (e.g., Fortify Workbench, SonarQube). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $97,000.00 - $180,000.00. 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: FPGA EW Design Engineer Job Code: 41806 Job Location: Salt lake City Job Schedule: 9/80, employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off We are seeking an experienced FPGA Design Engineer to help develop advanced electronic warfare (EW) and wireless digital communications systems. Ideal candidates bring experience in EW, wireless communications, modems, and/or digital signal processing (DSP). You will contribute across the full design lifecycle, including proposals, requirements definition, RTL development, simulation, synthesis, place-and-route, verification and test, system integration, and field support. This role offers challenging technical work within a collaborative team of talented engineers and opportunities to work independently while leading small teams of technical contributors. Located in Salt Lake City, this position also offers access to exceptional year-round outdoor recreation and cultural experiences, supported by L3Harris's commitment to work-life balance. Candidates with experience or education in one or more of the following areas are encouraged to apply: Electronic warfare (EW) Signal detection, classification, and identification Radar systems and signal processing Advanced digital signal processing (DSP) techniques Digital modulation and demodulation Forward error correction (FEC) Machine learning FPGA verification using simulation and unit testing Experience developing in VHDL (preferred) or Verilog Minimum Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Current DOD clearance or the ability to aquire one. Preferred Qualifications: Master's degree in computer science, computer engineering, software engineering, or electrical engineering Experience leading small engineering teams or technical contributors Experience developing electronic support (ES) and/or electronic attack (EA) signal-processing capabilities Experience implementing complex modem and/or DSP algorithms in FPGA-based programmable logic; comparable ASIC design experience is also applicable Experience implementing industry-standard interfaces, such as 10/100/1000 Ethernet, SPI, UART, SDRAM, DDR3, JESD, and PCIe Experience with FPGA simulation, synthesis, and implementation tools, such as ModelSim, Synplify, AMD Xilinx Vivado/ISE, and/or Intel Quartus Experience with high-speed serial FPGA interfaces operating at 3 Gbps or greater Experience achieving timing closure in large FPGA designs Experience with high-level synthesis (HLS) Hands-on laboratory debug experience using signal generators, digital oscilloscopes, logic analyzers, bit-error-rate testers (BERTs), and other advanced measurement equipment Familiarity with Git source control Familiarity with C, C++, C#, MATLAB, and/or Simulink 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.
09/22/2026
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: FPGA EW Design Engineer Job Code: 41806 Job Location: Salt lake City Job Schedule: 9/80, employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off We are seeking an experienced FPGA Design Engineer to help develop advanced electronic warfare (EW) and wireless digital communications systems. Ideal candidates bring experience in EW, wireless communications, modems, and/or digital signal processing (DSP). You will contribute across the full design lifecycle, including proposals, requirements definition, RTL development, simulation, synthesis, place-and-route, verification and test, system integration, and field support. This role offers challenging technical work within a collaborative team of talented engineers and opportunities to work independently while leading small teams of technical contributors. Located in Salt Lake City, this position also offers access to exceptional year-round outdoor recreation and cultural experiences, supported by L3Harris's commitment to work-life balance. Candidates with experience or education in one or more of the following areas are encouraged to apply: Electronic warfare (EW) Signal detection, classification, and identification Radar systems and signal processing Advanced digital signal processing (DSP) techniques Digital modulation and demodulation Forward error correction (FEC) Machine learning FPGA verification using simulation and unit testing Experience developing in VHDL (preferred) or Verilog Minimum Qualifications: Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience Current DOD clearance or the ability to aquire one. Preferred Qualifications: Master's degree in computer science, computer engineering, software engineering, or electrical engineering Experience leading small engineering teams or technical contributors Experience developing electronic support (ES) and/or electronic attack (EA) signal-processing capabilities Experience implementing complex modem and/or DSP algorithms in FPGA-based programmable logic; comparable ASIC design experience is also applicable Experience implementing industry-standard interfaces, such as 10/100/1000 Ethernet, SPI, UART, SDRAM, DDR3, JESD, and PCIe Experience with FPGA simulation, synthesis, and implementation tools, such as ModelSim, Synplify, AMD Xilinx Vivado/ISE, and/or Intel Quartus Experience with high-speed serial FPGA interfaces operating at 3 Gbps or greater Experience achieving timing closure in large FPGA designs Experience with high-level synthesis (HLS) Hands-on laboratory debug experience using signal generators, digital oscilloscopes, logic analyzers, bit-error-rate testers (BERTs), and other advanced measurement equipment Familiarity with Git source control Familiarity with C, C++, C#, MATLAB, and/or Simulink 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.
