Date Posted: 2026-08-26 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver/ Exciter & Processing Architecture (REPA) Department as a Software Engineer II. The department's primary goal is to design, develop, and support land and sea-based radar systems. We are looking for a unique engineer to enhance the sustainability of our current radar products. The ideal candidate will have experience in legacy radar hardware and software technologies, with an interest and ability to transition these products to current technologies while maintaining and troubleshooting and patching our deployed systems. What You Will Do: Provide expertise in modern C++ development and hands on experience across Linux, MATLAB, DevOps tooling, and Python. Work within Linux to develop C/C++ and MatLab tools to build and test the DREXs going into the next generation of Radars. Work closely with hardware and firmware engineers to work out technical challenges and deliver advanced capabilities. This 1st shift role will be 100% onsite and based in Marlborough, MA. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Experience in C++ (C+/17/20), including object-oriented design and performance optimization. Experience developing in Linux environments (e.g., command-line workflows, build systems, debugging tools). Experience with DevOps concepts and tools (e.g., GitLab CI, Jenkins, Docker, Kubernetes, automated build/test pipelines). Experience with MATLAB (e.g., algorithm development, modeling, numerical analysis). The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with Python (e.g., scripting, test automation, data analysis). Experience with radar signal processing, RF systems, or software-defined radio (SDR). Experience with tools like GNU Radio, USRP platforms, or similar SDR frameworks. Experience in digital signal processing, real-time systems, or embedded development. Experience in high-throughput, low-latency system design. Ability to work effectively in a collaborative, technical engineering environment. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Date Posted: 2026-08-26 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver/ Exciter & Processing Architecture (REPA) Department as a Software Engineer II. The department's primary goal is to design, develop, and support land and sea-based radar systems. We are looking for a unique engineer to enhance the sustainability of our current radar products. The ideal candidate will have experience in legacy radar hardware and software technologies, with an interest and ability to transition these products to current technologies while maintaining and troubleshooting and patching our deployed systems. What You Will Do: Provide expertise in modern C++ development and hands on experience across Linux, MATLAB, DevOps tooling, and Python. Work within Linux to develop C/C++ and MatLab tools to build and test the DREXs going into the next generation of Radars. Work closely with hardware and firmware engineers to work out technical challenges and deliver advanced capabilities. This 1st shift role will be 100% onsite and based in Marlborough, MA. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience. Experience in C++ (C+/17/20), including object-oriented design and performance optimization. Experience developing in Linux environments (e.g., command-line workflows, build systems, debugging tools). Experience with DevOps concepts and tools (e.g., GitLab CI, Jenkins, Docker, Kubernetes, automated build/test pipelines). Experience with MATLAB (e.g., algorithm development, modeling, numerical analysis). The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with Python (e.g., scripting, test automation, data analysis). Experience with radar signal processing, RF systems, or software-defined radio (SDR). Experience with tools like GNU Radio, USRP platforms, or similar SDR frameworks. Experience in digital signal processing, real-time systems, or embedded development. Experience in high-throughput, low-latency system design. Ability to work effectively in a collaborative, technical engineering environment. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, 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: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community 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 3 years of people leadership experience At least 8 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 or Machine Learning data At least 5 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/14/2026
Full time
Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, 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: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community 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 3 years of people leadership experience At least 8 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 or Machine Learning data At least 5 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, 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: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community 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 3 years of people leadership experience At least 8 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 or Machine Learning data At least 5 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/14/2026
Full time
Director, Machine Learning Engineer 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 a hands-on people leader for 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 people leader, 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: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community 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 3 years of people leadership experience At least 8 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 or Machine Learning data At least 5 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 Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 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) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents 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: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
11/14/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
Job Description 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: Sr. Specialist, Electrical Engineering - FPGA/ASIC Hardware Engineer Job Code: 46813 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests 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.
11/14/2026
Full time
Job Description 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: Sr. Specialist, Electrical Engineering - FPGA/ASIC Hardware Engineer Job Code: 46813 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests 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.
Date Posted: 2026-10-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Test Qualification Lead is responsible for planning, executing, and documenting environmental test campaigns to demonstrate compliance with system- and component-level requirements. This role ensures products meet program, customer, and industry standards through rigorous environmental qualification testing. The candidate will serve as the technical authority for environmental test methods, test readiness, anomaly resolution, and verification closure. What You Will Do Lead the planning, coordination, and execution of environmental qualification test activities, including vibration, shock, temperature, humidity, altitude, and electromagnetic environmental effects (E3). Develop environmental test plans, procedures, and reports in accordance with military/industry and program-specific requirements. Serve as the primary interface between engineering design teams, test laboratories, systems engineering, and program management for all qualification test matters. Review environmental requirements and ensure proper allocation, verification methods, and test coverage throughout the product lifecycle. Generate environmental test configurations, test setups, and instrumentation plans, ensuring accuracy and compliance with requirements. Lead Test Readiness Reviews (TRRs), ensuring configuration control, safety compliance, and procedural accuracy. Manage environmental test anomalies, perform root-cause analysis, coordinate troubleshooting, and drive corrective actions to closure. Interpret test data, assess system performance, and document results in formal reports suitable for customer delivery. Provide technical guidance on environmental qualification strategy, tailoring, and compliance approaches. Support risk management, schedule development, cost estimates, and resource planning for environmental testing activities. Mentor junior engineers and foster best practices in environmental testing and verification methodologies. Qualifications You Must Have Typically requires a Bachelor of Science in Electrical Engineering, Aerospace Engineering, Systems Engineering, Mechanical Engineering, Systems Engineering, Physics, Math or other related engineering disciplines. A minimum Five (5) of technical/engineering experience is required. Experience with environmental qualification requirements or equivalent military/industry standards (e.g., MIL-STD-810). Experience leading test activities including: Random and sine vibration, thermal and thermal-vacuum testing, temperature and humidity profiles, altitude and pressure testing, mechanical shock, and E3 (EMI/EMC, lightning, grounding, bonding). Experience with test instrumentation, data acquisition, and measurement best practices. Experience interpreting technical drawings, specifications, and requirement documents. Experience leading cross-functional teams in a fast-paced test environment. Qualifications We Prefer Master's degree in engineering or related discipline. Excellent communication and documentation skills, including technical writing and customer communication. Experience with aerospace or defense qualification programs. Familiarity with systems engineering processes (requirements verification, V&V planning, configuration management). Experience with test facilities, environmental chambers, and vibration/shock tables. Active security clearance or ability to obtain one. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-10-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Test Qualification Lead is responsible for planning, executing, and documenting environmental test campaigns to demonstrate compliance with system- and component-level requirements. This role ensures products meet program, customer, and industry standards through rigorous environmental qualification testing. The candidate will serve as the technical authority for environmental test methods, test readiness, anomaly resolution, and verification closure. What You Will Do Lead the planning, coordination, and execution of environmental qualification test activities, including vibration, shock, temperature, humidity, altitude, and electromagnetic environmental effects (E3). Develop environmental test plans, procedures, and reports in accordance with military/industry and program-specific requirements. Serve as the primary interface between engineering design teams, test laboratories, systems engineering, and program management for all qualification test matters. Review environmental requirements and ensure proper allocation, verification methods, and test coverage throughout the product lifecycle. Generate environmental test configurations, test setups, and instrumentation plans, ensuring accuracy and compliance with requirements. Lead Test Readiness Reviews (TRRs), ensuring configuration control, safety compliance, and procedural accuracy. Manage environmental test anomalies, perform root-cause analysis, coordinate troubleshooting, and drive corrective actions to closure. Interpret test data, assess system performance, and document results in formal reports suitable for customer delivery. Provide technical guidance on environmental qualification strategy, tailoring, and compliance approaches. Support risk management, schedule development, cost estimates, and resource planning for environmental testing activities. Mentor junior engineers and foster best practices in environmental testing and verification methodologies. Qualifications You Must Have Typically requires a Bachelor of Science in Electrical Engineering, Aerospace Engineering, Systems Engineering, Mechanical Engineering, Systems Engineering, Physics, Math or other related engineering disciplines. A minimum Five (5) of technical/engineering experience is required. Experience with environmental qualification requirements or equivalent military/industry standards (e.g., MIL-STD-810). Experience leading test activities including: Random and sine vibration, thermal and thermal-vacuum testing, temperature and humidity profiles, altitude and pressure testing, mechanical shock, and E3 (EMI/EMC, lightning, grounding, bonding). Experience with test instrumentation, data acquisition, and measurement best practices. Experience interpreting technical drawings, specifications, and requirement documents. Experience leading cross-functional teams in a fast-paced test environment. Qualifications We Prefer Master's degree in engineering or related discipline. Excellent communication and documentation skills, including technical writing and customer communication. Experience with aerospace or defense qualification programs. Familiarity with systems engineering processes (requirements verification, V&V planning, configuration management). Experience with test facilities, environmental chambers, and vibration/shock tables. Active security clearance or ability to obtain one. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-05-26 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Software Security Sensors and Effectors (S3E) Department is looking to hire a Sr Principal Software Security Engineer in Tucson, AZ. Raytheon Tucson, AZ Location Our Culture RTX Careers What You Will Do: Our mission is to provide world class Security Software to be used in deployed missile systems. This position requires understanding of real-time software design and the performance implications associated with specific System Security implementations. Involve with application and embedded software design, development, integration, and testing of real-time missile software. Apply System Security principles to the design and implementation of Missile software applications. Develop software applications using C and C++ languages on a variety of computing platforms Understand real-time software design and the performance implications associated with specific System Security implementations. Able to understand how position's efforts affect the "big picture" of the missile system and be able to develop or review detail solutions at the source code level. Work closely with the Systems Security Engineering team to define and implement requirements. Work in a common development environment to support and facilitate program ability to leverage specific capabilities. Interface with customer community to review technical design and support verification of system maturity. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) AND a minimum of 10 years of relevant software experience Experience with C / C++ Experience with Xilinx UltaScale+ MPSoC, Versal, or similar Embedded Processors Experience with embedded OS like VxWorks, Embedded Linux, or similar Embedded Software Security experience The ability to obtain and maintain an Interim Secret Level U.S. security clearance is required prior to start date with the ability to obtain program access after start . U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with validation and verification of software applications Experience/Knowledge of any of the following: Linux/Unix environment Interfacing with FPGAs Interfacing with low-level memory drivers Inter-processor communication ARM Architecture Secure boot concepts Crypto graphic Algorithms Experience designing, implementing, testing, or fielding real-time security-oriented solutions on Department of Defense (DoD) programs (embedded experience highly preferred) Experience using security-relevant tools and devices for security auditing, network security, host/server security, communication security, or policy management. Experience in Agile and DevSecOps environments Experience in an Agile/Scrum/Kanban frameworks and development environments Experience using software configuration management and bug tracking tools Experience with Python / Perl Knowledge of modern computer architectures and hardware technologies including: PCIe, GPIO, I2C, SATA Field Programmable Gate Arrays (FPGAs) Application-Specific Integrated Circuits (ASICs) What We Offer: Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. "Tucson is Awesome": "Winter in Tucson": Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-05-26 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Software Security Sensors and Effectors (S3E) Department is looking to hire a Sr Principal Software Security Engineer in Tucson, AZ. Raytheon Tucson, AZ Location Our Culture RTX Careers What You Will Do: Our mission is to provide world class Security Software to be used in deployed missile systems. This position requires understanding of real-time software design and the performance implications associated with specific System Security implementations. Involve with application and embedded software design, development, integration, and testing of real-time missile software. Apply System Security principles to the design and implementation of Missile software applications. Develop software applications using C and C++ languages on a variety of computing platforms Understand real-time software design and the performance implications associated with specific System Security implementations. Able to understand how position's efforts affect the "big picture" of the missile system and be able to develop or review detail solutions at the source code level. Work closely with the Systems Security Engineering team to define and implement requirements. Work in a common development environment to support and facilitate program ability to leverage specific capabilities. Interface with customer community to review technical design and support verification of system maturity. Qualifications You Must Have: Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) AND a minimum of 10 years of relevant software experience Experience with C / C++ Experience with Xilinx UltaScale+ MPSoC, Versal, or similar Embedded Processors Experience with embedded OS like VxWorks, Embedded Linux, or similar Embedded Software Security experience The ability to obtain and maintain an Interim Secret Level U.S. security clearance is required prior to start date with the ability to obtain program access after start . U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Experience with validation and verification of software applications Experience/Knowledge of any of the following: Linux/Unix environment Interfacing with FPGAs Interfacing with low-level memory drivers Inter-processor communication ARM Architecture Secure boot concepts Crypto graphic Algorithms Experience designing, implementing, testing, or fielding real-time security-oriented solutions on Department of Defense (DoD) programs (embedded experience highly preferred) Experience using security-relevant tools and devices for security auditing, network security, host/server security, communication security, or policy management. Experience in Agile and DevSecOps environments Experience in an Agile/Scrum/Kanban frameworks and development environments Experience using software configuration management and bug tracking tools Experience with Python / Perl Knowledge of modern computer architectures and hardware technologies including: PCIe, GPIO, I2C, SATA Field Programmable Gate Arrays (FPGAs) Application-Specific Integrated Circuits (ASICs) What We Offer: Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. "Tucson is Awesome": "Winter in Tucson": Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-10-14 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Top Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Systems Engineering and Test Center (SETC) organization is currently hiring a Senior Systems Engineer - Responsible Systems Engineer to join our Tucson, AZ team in the Effectors System Engineering Department. The SETC organization is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, chief engineers, chief technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer - Responsible Systems Engineer you will lead the effort to update and maintain all system and subsystem level requirements specifications and be the Systems technical lead ensuring all requirements are being assessed during Verification and Qualification testing. You will engage with the Systems and Hardware teams and Chief Engineer on a variety of program technical tasks. This role is fully Onsite in Tucson, AZ. What You Will Do Lead effort to update and maintain all system and subsystem level requirements specifications SE technical lead for verification and validation efforts, ensuring all requirements are being assessed during Verification and Qualification Testing SE technical lead, working closely with the Systems and Hardware IPTLs and Chief Engineer on a variety of program technical tasks. Lead Systems Verification Reviews with the Chief Engineer, Lead Systems Engineer, and Integrated Product Team Leadership. Become the knowledgeable and 'go-to' Systems Engineer for the program. Help to onboard new team members, mentor, and guide them using core Systems Engineering skills. Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five (5) years of prior relevant experience Experience with at least one of the following: systems software, systems firmware, systems hardware, systems requirements, systems integration, and/or systems test. Experience in test planning, verification of system requirements and/or system qualification Active and transferable Top Secret Security Clearance is required prior to start date. Qualifications We Prefer Advanced degree in Engineering, Computer Science, Math or Physics Experience in the Defense Industry and specifically with military systems; tactics, techniques, and procedures, as well as Department of Defense customer infrastructure experience. Experience using Agile framework development methods / processes Customer focus and collaboration skills Experience with performance analysis Experience with DOORS, Cameo and/or cPDM Understanding of the Systems Engineering Product Development Cycle Experience with Earned Value Management System (EVMS) or Cost Account Management (CAM) Certification What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-10-14 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Top Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Systems Engineering and Test Center (SETC) organization is currently hiring a Senior Systems Engineer - Responsible Systems Engineer to join our Tucson, AZ team in the Effectors System Engineering Department. The SETC organization is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, chief engineers, chief technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer - Responsible Systems Engineer you will lead the effort to update and maintain all system and subsystem level requirements specifications and be the Systems technical lead ensuring all requirements are being assessed during Verification and Qualification testing. You will engage with the Systems and Hardware teams and Chief Engineer on a variety of program technical tasks. This role is fully Onsite in Tucson, AZ. What You Will Do Lead effort to update and maintain all system and subsystem level requirements specifications SE technical lead for verification and validation efforts, ensuring all requirements are being assessed during Verification and Qualification Testing SE technical lead, working closely with the Systems and Hardware IPTLs and Chief Engineer on a variety of program technical tasks. Lead Systems Verification Reviews with the Chief Engineer, Lead Systems Engineer, and Integrated Product Team Leadership. Become the knowledgeable and 'go-to' Systems Engineer for the program. Help to onboard new team members, mentor, and guide them using core Systems Engineering skills. Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five (5) years of prior relevant experience Experience with at least one of the following: systems software, systems firmware, systems hardware, systems requirements, systems integration, and/or systems test. Experience in test planning, verification of system requirements and/or system qualification Active and transferable Top Secret Security Clearance is required prior to start date. Qualifications We Prefer Advanced degree in Engineering, Computer Science, Math or Physics Experience in the Defense Industry and specifically with military systems; tactics, techniques, and procedures, as well as Department of Defense customer infrastructure experience. Experience using Agile framework development methods / processes Customer focus and collaboration skills Experience with performance analysis Experience with DOORS, Cameo and/or cPDM Understanding of the Systems Engineering Product Development Cycle Experience with Earned Value Management System (EVMS) or Cost Account Management (CAM) Certification What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Pay Range: $30.00hr - $35.00hr Job Overview: The candidate will leverage their technical expertise to manage academic labs and provide smart classroom support to the community of students and educators. Candidates must interview and work on site. Local candidates are strongly preferred. Key Responsibilities: Hardware & Software Support: Install, diagnose, and repair desktops, laptops, scanners, and peripherals. Training is provided on the proprietary software suite. Security & Compliance: Maintain the integrity of the technology environment by adhering to IT Security Standards and organizational policies. Inventory Management: Track hardware and software assets across labs, classrooms, and mobile devices to ensure the department stays organized. Training & Documentation: Empower faculty and staff through hands-on training sessions and by creating clear, accessible technical documentation and videos. Strategic Objectives: User Success: Act as a centralized problem-resolution hub to minimize downtime for the campus community. Quality Leadership: Support the IT Manager in departmental goals, ensuring a high standard of performance and clear communication. Requirements: Technical Troubleshooting: A natural curiosity for how things work and a knack for fixing hardware and software issues. Communication Skills: The ability to translate technical language into helpful instructions for non-technical users. Organization: Ability to keep records updated and projects on schedule. Adaptability: A team player ready to handle varied duties to keep the department running smoothly. Requirements & Qualifications: Education: Associate's degree in Information Technology, Computer Science, or a related field (or equivalent professional experience). Technical Proficiency: Hands-on experience troubleshooting Windows and MacOS environments and common hardware (desktops and laptops). Instructional Tech: Familiarity with classroom technology, such as projectors, smartboards, or video conferencing tools (e.g., Zoom, Teams, or WebEx). Compliance Knowledge: Basic understanding of IT security principles and data privacy standards. Preferred Skills: Certifications: CompTIA A+, Network+, or Google IT Support Professional Certificate. Customer Service: A background in Help Desk technical support, ideally in an academic or corporate setting. Physical Requirements(Due to nature of job, The candidate must have): Ability to lift and move computer equipment (up to 30 lbs). Ability to navigate classroom environments to perform installations. Ability to kneel, crouch, or crawl under desks and in confined spaces to manage cabling and hardware installation. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $30.00hr - $35.00hr Job Overview: The candidate will leverage their technical expertise to manage academic labs and provide smart classroom support to the community of students and educators. Candidates must interview and work on site. Local candidates are strongly preferred. Key Responsibilities: Hardware & Software Support: Install, diagnose, and repair desktops, laptops, scanners, and peripherals. Training is provided on the proprietary software suite. Security & Compliance: Maintain the integrity of the technology environment by adhering to IT Security Standards and organizational policies. Inventory Management: Track hardware and software assets across labs, classrooms, and mobile devices to ensure the department stays organized. Training & Documentation: Empower faculty and staff through hands-on training sessions and by creating clear, accessible technical documentation and videos. Strategic Objectives: User Success: Act as a centralized problem-resolution hub to minimize downtime for the campus community. Quality Leadership: Support the IT Manager in departmental goals, ensuring a high standard of performance and clear communication. Requirements: Technical Troubleshooting: A natural curiosity for how things work and a knack for fixing hardware and software issues. Communication Skills: The ability to translate technical language into helpful instructions for non-technical users. Organization: Ability to keep records updated and projects on schedule. Adaptability: A team player ready to handle varied duties to keep the department running smoothly. Requirements & Qualifications: Education: Associate's degree in Information Technology, Computer Science, or a related field (or equivalent professional experience). Technical Proficiency: Hands-on experience troubleshooting Windows and MacOS environments and common hardware (desktops and laptops). Instructional Tech: Familiarity with classroom technology, such as projectors, smartboards, or video conferencing tools (e.g., Zoom, Teams, or WebEx). Compliance Knowledge: Basic understanding of IT security principles and data privacy standards. Preferred Skills: Certifications: CompTIA A+, Network+, or Google IT Support Professional Certificate. Customer Service: A background in Help Desk technical support, ideally in an academic or corporate setting. Physical Requirements(Due to nature of job, The candidate must have): Ability to lift and move computer equipment (up to 30 lbs). Ability to navigate classroom environments to perform installations. Ability to kneel, crouch, or crawl under desks and in confined spaces to manage cabling and hardware installation. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-10-27 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: TS/SCI Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. With a strong focus on Safety, Trust, Respect, Accountability, Collaboration, and Innovation, we are committed to delivering innovative solutions that make the world a safer place. We have an exciting opportunity for a Principal Systems Engineer supporting one of our premier programs in Aurora, Colorado. In this role, you will apply your expertise in requirements development, architecture and design elaboration, systems engineering analyses, script development, and interface definition and control. You will support system design, technical planning, integration, and verification activities throughout the systems engineering lifecycle. This position is on-site in Aurora, CO. What You Will Do • Provide technical support across all systems engineering aspects of the program, with a focus on system design and requirements. • Ensure technical planning activities are complete and adequate to support program execution. • Support overall systems engineering deliverables for the program Technical Performance Manager (TPM). • Coordinate Integrated Product Teams (IPTs) and other program teams to resolve system-level issues. • Support test strategy development and system integration and verification activities, including Developmental Test and Evaluation (DT&E) and Operational Test and Evaluation (OT&E). • Assist IPTs with system analysis and defining system functionality. • Support system interface design and determine how requirements will be validated and verified by the test team. • Provide engineering support for assigned portions of the program's test activities, including test processes, baseline definition, and test architecture design. • Support regression testing across deliverable releases to ensure alignment with the program baseline. • Participate in technical reviews and technical interchange meetings in support of program objectives. Qualifications You Must Have • Typically requires a bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) in a related field and a minimum of 8 years of relevant experience. • Experience with the systems engineering lifecycle, roles, and functions, including one or more of the following: Concept of Operations (ConOps) development, requirements definition and management, functional analysis, or interface definition and control. • Experience supporting development activities on a government contract. • Experience applying Agile principles, including Agile systems engineering practices and/or Agile roles. • Active and transferable U.S. government-issued DoD TS/SCI security clearance required prior to start date, with the ability to obtain Special Program Access. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer • Experience in relevant mission domains, such as mission management ground systems or space-based Intelligence, Surveillance, and Reconnaissance (ISR) platforms. • Experience working in an Agile development environment and using tools such as Jira, Confluence, and Bitbucket. • Experience with Model-Based Systems Engineering (MBSE) tools, such as Cameo Systems Modeler. • Product Owner (PO) or Product Manager (PM) certification. • Experience managing requirements using DOORS or other requirements management databases. What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation • Relocation eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: • Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: Location: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-10-27 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: TS/SCI Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. With a strong focus on Safety, Trust, Respect, Accountability, Collaboration, and Innovation, we are committed to delivering innovative solutions that make the world a safer place. We have an exciting opportunity for a Principal Systems Engineer supporting one of our premier programs in Aurora, Colorado. In this role, you will apply your expertise in requirements development, architecture and design elaboration, systems engineering analyses, script development, and interface definition and control. You will support system design, technical planning, integration, and verification activities throughout the systems engineering lifecycle. This position is on-site in Aurora, CO. What You Will Do • Provide technical support across all systems engineering aspects of the program, with a focus on system design and requirements. • Ensure technical planning activities are complete and adequate to support program execution. • Support overall systems engineering deliverables for the program Technical Performance Manager (TPM). • Coordinate Integrated Product Teams (IPTs) and other program teams to resolve system-level issues. • Support test strategy development and system integration and verification activities, including Developmental Test and Evaluation (DT&E) and Operational Test and Evaluation (OT&E). • Assist IPTs with system analysis and defining system functionality. • Support system interface design and determine how requirements will be validated and verified by the test team. • Provide engineering support for assigned portions of the program's test activities, including test processes, baseline definition, and test architecture design. • Support regression testing across deliverable releases to ensure alignment with the program baseline. • Participate in technical reviews and technical interchange meetings in support of program objectives. Qualifications You Must Have • Typically requires a bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) in a related field and a minimum of 8 years of relevant experience. • Experience with the systems engineering lifecycle, roles, and functions, including one or more of the following: Concept of Operations (ConOps) development, requirements definition and management, functional analysis, or interface definition and control. • Experience supporting development activities on a government contract. • Experience applying Agile principles, including Agile systems engineering practices and/or Agile roles. • Active and transferable U.S. government-issued DoD TS/SCI security clearance required prior to start date, with the ability to obtain Special Program Access. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer • Experience in relevant mission domains, such as mission management ground systems or space-based Intelligence, Surveillance, and Reconnaissance (ISR) platforms. • Experience working in an Agile development environment and using tools such as Jira, Confluence, and Bitbucket. • Experience with Model-Based Systems Engineering (MBSE) tools, such as Cameo Systems Modeler. • Product Owner (PO) or Product Manager (PM) certification. • Experience managing requirements using DOORS or other requirements management databases. What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation • Relocation eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: • Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: Location: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-09-14 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: TS/SCI Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Sr. Systems Engineer - RF Engineer supporting one of our premier programs at Raytheon, an RTX Business. The Apertures and RF Team is looking for an RF Engineer to be a member of a technical team supporting adaptable and multidisciplinary hardware systems. The team is responsible for analysis, trade studies, design, design reviews, testing, fielding and hardware refresh, integration, and operational support. In this role, you will participate in system analysis, trade studies, design, design reviews, testing, fielding, integration, and operational support throughout the product lifecycle, from initial concept definition through detailed design, development, qualification testing, fielding, and customer support. You will support engineering efforts as an individual contributor across a variety of technical activities involving RF communications links and systems, antenna system design, functionality, and operation. The work is on-site in Aurora, CO, and program support activities may require travel to CONUS and OCONUS locations, not expected to exceed 25%. What You Will Do • Support planning and execution of analysis, integration, verification, and troubleshooting test activities in laboratory and operational environments • Support program activities at CONUS and OCONUS locations • Support troubleshooting and failure data analysis, including root cause and corrective action processes and the use of laboratory and field test equipment • Complete and compile detailed performance evaluations using analysis tools such as MATLAB • Prepare and present results in technical reports and briefings to internal and external stakeholders • Support engineering activities related to the testing and troubleshooting of hardware • Support root-cause analysis and implementation of design changes • Support the maintenance of engineering specifications, including design specifications, analysis requirements documents, schematics, and assembly drawings • Support the maintenance of engineering databases • Participate in engineering tag-ups and meetings involving the Program, Systems Engineering, Chief Engineer, and customer • Resolve and coordinate system technical solutions with engineering teams • Participate in periodic team meetings, interface teleconferences, and working group meetings • Support associated tasks required to implement program process requirements • Support mockup hardware installation and repair activities • Support sustainment, depot returns, troubleshooting, and repair activities Qualifications You Must Have • Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience • Experience supporting radio frequency (RF) communications links and systems, antenna systems, or electronic hardware systems • Experience using tools such as Microsoft Office, MATLAB, Ansys HFSS, Python, or similar tools for data analysis and automation • Experience troubleshooting technical issues involving electronic systems and using commercial test equipment such as oscilloscopes, spectrum analyzers, and signal generators • Active and transferable DoD TS/SCI U.S. government-issued security clearance is required prior to start date. Qualifications We Prefer • Experience with reflector system design and antenna feed design • Experience with solid-state amplifier performance parameters and high-power tube amplifier technology • Experience with computer networking and cybersecurity or INFOSEC practices • Experience with electrical schematics, interface control documentation, and communications protocols • Experience with instrumentation and collection of large data sets, including the application of scripting or automation to data collection and analysis What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation • Relocation eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: • Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: • Location: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-09-14 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: TS/SCI Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. We have an exciting opportunity for a Sr. Systems Engineer - RF Engineer supporting one of our premier programs at Raytheon, an RTX Business. The Apertures and RF Team is looking for an RF Engineer to be a member of a technical team supporting adaptable and multidisciplinary hardware systems. The team is responsible for analysis, trade studies, design, design reviews, testing, fielding and hardware refresh, integration, and operational support. In this role, you will participate in system analysis, trade studies, design, design reviews, testing, fielding, integration, and operational support throughout the product lifecycle, from initial concept definition through detailed design, development, qualification testing, fielding, and customer support. You will support engineering efforts as an individual contributor across a variety of technical activities involving RF communications links and systems, antenna system design, functionality, and operation. The work is on-site in Aurora, CO, and program support activities may require travel to CONUS and OCONUS locations, not expected to exceed 25%. What You Will Do • Support planning and execution of analysis, integration, verification, and troubleshooting test activities in laboratory and operational environments • Support program activities at CONUS and OCONUS locations • Support troubleshooting and failure data analysis, including root cause and corrective action processes and the use of laboratory and field test equipment • Complete and compile detailed performance evaluations using analysis tools such as MATLAB • Prepare and present results in technical reports and briefings to internal and external stakeholders • Support engineering activities related to the testing and troubleshooting of hardware • Support root-cause analysis and implementation of design changes • Support the maintenance of engineering specifications, including design specifications, analysis requirements documents, schematics, and assembly drawings • Support the maintenance of engineering databases • Participate in engineering tag-ups and meetings involving the Program, Systems Engineering, Chief Engineer, and customer • Resolve and coordinate system technical solutions with engineering teams • Participate in periodic team meetings, interface teleconferences, and working group meetings • Support associated tasks required to implement program process requirements • Support mockup hardware installation and repair activities • Support sustainment, depot returns, troubleshooting, and repair activities Qualifications You Must Have • Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience • Experience supporting radio frequency (RF) communications links and systems, antenna systems, or electronic hardware systems • Experience using tools such as Microsoft Office, MATLAB, Ansys HFSS, Python, or similar tools for data analysis and automation • Experience troubleshooting technical issues involving electronic systems and using commercial test equipment such as oscilloscopes, spectrum analyzers, and signal generators • Active and transferable DoD TS/SCI U.S. government-issued security clearance is required prior to start date. Qualifications We Prefer • Experience with reflector system design and antenna feed design • Experience with solid-state amplifier performance parameters and high-power tube amplifier technology • Experience with computer networking and cybersecurity or INFOSEC practices • Experience with electrical schematics, interface control documentation, and communications protocols • Experience with instrumentation and collection of large data sets, including the application of scripting or automation to data collection and analysis What We Offer • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation • Relocation eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role: • Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the U.S. Department of State website here: • Location: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), computer vision, robotics, reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 1+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 1+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3 years of full Software Development Life Cycle (SDLC) experience Prior experience developing and implementing applications with optimization and/or machine learning models inside Prior experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.g., Open AI GPT, Google Gemini, Llama) Airline Industry experience Skills, Licenses & Certifications Proficiency in Full Stack Development Proficiency and demonstrated experience in the following technologies: J2EE technologies: Java, JSP, JMS, JAXB, JDBC, EJB Database and persistence frameworks: Hibernate, Oracle, Object/Relational Mapping, Query performance tuning Cloud-based development: Azure Cloud, AWS Web Servers: Tomcat, tcServer, Websphere Web Services: REST/SOAP (JSON/WSDL/XML) Frameworks: Spring Framework, Spring Boot Front-end: Angular JS, CSS, jQuery, AJAX Build/deployment tools: Maven, Gradel, Git, Junit, Mockito Other Dev Ops Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, ElasticSearch, Logback, Log4j ADO Pipelines, Docker Other: Linux/Unix shell Scripting, JavaScript, IBM MQ/Rabbit MQ SQL Developer, IDE Proficiency in object-oriented design techniques and principles Proficiency in Retrieval Augmented Generation (RAG) techniques for generative-based AI models Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.) Experience in Agile methodologies, such as SCRUM Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ. What You will Do You will create high fidelity simulations and models for missile design, performance assessment, and flight test support You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience Experience with object-oriented, C, or C++ software programming Experience using Python or MATLAB for evaluation of data sets Experience modeling, simulating, and/or analysis of physical systems Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines Experience creating and/or presenting technical briefings Experience developing signal processing / GNC algorithms or models for missile applications Experience with control hardware design & test and/or hardware & software integration Experience modeling physics and/or modeling physical systems as related to flight dynamics Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Modeling Simulation & Analysis Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations. Our Performance Simulation teams provide, develop, and maintain high fidelity performance simulations, evaluate system performance, support new business initiatives and develop & execute technology roadmaps. This is an Onsite role in Tucson, AZ. What You will Do You will create high fidelity simulations and models for missile design, performance assessment, and flight test support You will be responsible for the development and implementation of modeling solutions, and subsequently conduct trade studies and evaluation of system and subsystem performance You will work in a team environment, receiving input from the team supervisors and providing guidance and/or direction to other team members You will collaborate with Guidance, Navigation & Control (GNC), Signal Processing, and other performance personnel to perform simulation activities according to the program schedule You will work on different projects, determine, and develop approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product You will provide technical expertise for the simulation products of a specific program, and assist Senior Modeling Engineers in the preparation of detailed plans, and may interact with government counterparts as an authority on simulation products Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of relevant prior experience Experience with object-oriented, C, or C++ software programming Experience using Python or MATLAB for evaluation of data sets Experience modeling, simulating, and/or analysis of physical systems Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience using applied system engineering principals, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines Experience creating and/or presenting technical briefings Experience developing signal processing / GNC algorithms or models for missile applications Experience with control hardware design & test and/or hardware & software integration Experience modeling physics and/or modeling physical systems as related to flight dynamics Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git Course work or experience in some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: -tucson,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Sr. Staff AI Engineer (Remote Eligible) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
11/13/2026
Full time
Sr. Staff AI Engineer (Remote Eligible) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
Job Description Job Description WE'RE HIRING DATA CENTER TECHNICIANS - LEVEL 1, 2 & 3 We are looking for skilled and motivated professionals for multiple Data Center Technician positions to support data center infrastructure deployment and operations across the USA. Technician 1 - Associate Data Center Technician Basic rack support, equipment positioning, labeling, and cable installation assistance Equipment handling and documentation Technician 2 - Data Center Services Technician Rack-and-stack, copper and fiber cabling, and power connectivity Equipment installation, provisioning, testing, and troubleshooting Technician 3 - Senior Data Center Technician / Lead Lead onsite technicians and coordinate installation activities Advanced testing, troubleshooting, quality checks, and team supervision Location: USA Eligibility: Open to US citizens only. Candidates with experience in data centers, structured cabling, telecommunications, fiber optics, or IT infrastructure are encouraged to apply. Interested candidates can share their updated resumes. Know someone who would be a great fit? Tag them or share this opportunity! Company Description Vedanta is an Engineering and Technology Services company that specializes in providing end-to-end solutions and services in the field of Telecom and IT. Vedanta was formed in 2015 with our headquarters based out of Dallas, TX. We have a team of 50+ technologists delivering on our promise of innovative solutions and efficient delivery. We are a member of Dallas Chamber of Commerce. Vedanta is a certified Minority Supplier of DFW NMSDC, and HUB certified by State of Texas. The Vedanta team has highly skilled Technology Consultants, Disruptors, and Executives who are passionate about creating solutions tailored to your business needs which are cutting-edge and future-proof. Our team is pioneered in Network Rollouts, Network Design, Optimization, Project/Program Management, Engineering Solutions/Services, Management Consulting, and Operations of large networks. Vedanta provides end-to-end services, ranging from consultancy and conception to deployment and operations. We are vendor-agnostic and cover all key wireless technologies. Vedanta is inspired by the potential of wireless technologies to transform businesses and improve the lives of wireless subscribers. Company Description Vedanta is an Engineering and Technology Services company that specializes in providing end-to-end solutions and services in the field of Telecom and IT. Vedanta was formed in 2015 with our headquarters based out of Dallas, TX. We have a team of 50+ technologists delivering on our promise of innovative solutions and efficient delivery. We are a member of Dallas Chamber of Commerce. Vedanta is a certified Minority Supplier of DFW NMSDC, and HUB certified by State of Texas. The Vedanta team has highly skilled Technology Consultants, Disruptors, and Executives who are passionate about creating solutions tailored to your business needs which are cutting-edge and future-proof. Our team is pioneered in Network Rollouts, Network Design, Optimization, Project/Program Management, Engineering Solutions/Services, Management Consulting, and Operations of large networks. Vedanta provides end-to-end services, ranging from consultancy and conception to deployment and operations. We are vendor-agnostic and cover all key wireless technologies. Vedanta is inspired by the potential of wireless technologies to transform businesses and improve the lives of wireless subscribers.
11/13/2026
Full time
Job Description Job Description WE'RE HIRING DATA CENTER TECHNICIANS - LEVEL 1, 2 & 3 We are looking for skilled and motivated professionals for multiple Data Center Technician positions to support data center infrastructure deployment and operations across the USA. Technician 1 - Associate Data Center Technician Basic rack support, equipment positioning, labeling, and cable installation assistance Equipment handling and documentation Technician 2 - Data Center Services Technician Rack-and-stack, copper and fiber cabling, and power connectivity Equipment installation, provisioning, testing, and troubleshooting Technician 3 - Senior Data Center Technician / Lead Lead onsite technicians and coordinate installation activities Advanced testing, troubleshooting, quality checks, and team supervision Location: USA Eligibility: Open to US citizens only. Candidates with experience in data centers, structured cabling, telecommunications, fiber optics, or IT infrastructure are encouraged to apply. Interested candidates can share their updated resumes. Know someone who would be a great fit? Tag them or share this opportunity! Company Description Vedanta is an Engineering and Technology Services company that specializes in providing end-to-end solutions and services in the field of Telecom and IT. Vedanta was formed in 2015 with our headquarters based out of Dallas, TX. We have a team of 50+ technologists delivering on our promise of innovative solutions and efficient delivery. We are a member of Dallas Chamber of Commerce. Vedanta is a certified Minority Supplier of DFW NMSDC, and HUB certified by State of Texas. The Vedanta team has highly skilled Technology Consultants, Disruptors, and Executives who are passionate about creating solutions tailored to your business needs which are cutting-edge and future-proof. Our team is pioneered in Network Rollouts, Network Design, Optimization, Project/Program Management, Engineering Solutions/Services, Management Consulting, and Operations of large networks. Vedanta provides end-to-end services, ranging from consultancy and conception to deployment and operations. We are vendor-agnostic and cover all key wireless technologies. Vedanta is inspired by the potential of wireless technologies to transform businesses and improve the lives of wireless subscribers. Company Description Vedanta is an Engineering and Technology Services company that specializes in providing end-to-end solutions and services in the field of Telecom and IT. Vedanta was formed in 2015 with our headquarters based out of Dallas, TX. We have a team of 50+ technologists delivering on our promise of innovative solutions and efficient delivery. We are a member of Dallas Chamber of Commerce. Vedanta is a certified Minority Supplier of DFW NMSDC, and HUB certified by State of Texas. The Vedanta team has highly skilled Technology Consultants, Disruptors, and Executives who are passionate about creating solutions tailored to your business needs which are cutting-edge and future-proof. Our team is pioneered in Network Rollouts, Network Design, Optimization, Project/Program Management, Engineering Solutions/Services, Management Consulting, and Operations of large networks. Vedanta provides end-to-end services, ranging from consultancy and conception to deployment and operations. We are vendor-agnostic and cover all key wireless technologies. Vedanta is inspired by the potential of wireless technologies to transform businesses and improve the lives of wireless subscribers.
Sr. Staff AI Engineer (Remote Eligible) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
11/13/2026
Full time
Sr. Staff AI Engineer (Remote Eligible) 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
11/13/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact 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: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
