Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
11/04/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Date Posted: 2026-07-21 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: 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. Raytheon is seeking a Senior Principal Systems Security Engineer (Program Protection / Anti-Tamper) - P5 to join our elite Systems Security Engineering (SSE) team for the Systems Directorate in developing solutions to protect the Warfighter's technology advantage. Systems Security Engineering creates holistic security solutions leveraging Cybersecurity, Software Assurance and Supply Chain Risk Management to support Program Protection on embedded weapons systems. Join our highly visible team and perform technically challenging assignments, which will directly contribute to protecting our nation and our Warfighters. The individual will work with the program and customer in the development of the system, providing strategic input and planning for the system, applications, architecture, and design in a dynamic, agile development environment. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support the implementation of Systems Security Engineering (SSE) solutions in Raytheon products Interact with customers to define SSE requirements, solutions, trades, costs, and implementation strategies Develop plans, estimates, task execution schedules, and risk mitigation strategies Guide SSE implementations and architectures for customer systems Conduct attack threat modeling and Critical Program Information (CPI) assessments Develop top-level system requirements and flow those into subsystem implementation concepts Ensure compliance with DoD technology release and export licensing policies Consult and assist program management with SSE architecture and issues Consult and assist program line management with SSE architectures and issues Performing Task Lead duties (e.g., task planning, product owner, scrum master) Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and 10 years of prior relevant experience The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in technical leadership Experience in the fields of System Security Engineering, computer technology reverse engineering, Anti Tamper, cybersecurity or embedded security Experience in designing, implementing, testing and fielding real-time embedded security solutions for DoD programs Experience generating systems requirements, design and architecture artifacts, plans and/or policies Qualifications We Prefer Active and transferable U.S. government issued DoD Secret security clearance Advanced Degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science or related fields Experience in developing Anti-Tamper, Cyber Security, and/or Program Protection requirements, architectures and plans Familiarity with software, firmware, microelectronics engineering, cryptography and FPGA design Expertise in attack threat modeling and Critical Program Information (CPI) assessments Cybersecurity certifications such as CISSP, GSLC or CEH in accordance with DoDD 8570/8140 Working knowledge of DoD directives such as DODI-S-5230.28 Experience in aircraft/weapons system integration Exceptional creativity, problem-solving abilities, and strong interpersonal skills Experience in solutions meeting robust SSE systems security requirements Program management experience with SSE Strategic planning and proposal writing skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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: ,-az-location 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links: "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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
11/04/2026
Full time
Date Posted: 2026-07-21 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: 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. Raytheon is seeking a Senior Principal Systems Security Engineer (Program Protection / Anti-Tamper) - P5 to join our elite Systems Security Engineering (SSE) team for the Systems Directorate in developing solutions to protect the Warfighter's technology advantage. Systems Security Engineering creates holistic security solutions leveraging Cybersecurity, Software Assurance and Supply Chain Risk Management to support Program Protection on embedded weapons systems. Join our highly visible team and perform technically challenging assignments, which will directly contribute to protecting our nation and our Warfighters. The individual will work with the program and customer in the development of the system, providing strategic input and planning for the system, applications, architecture, and design in a dynamic, agile development environment. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support the implementation of Systems Security Engineering (SSE) solutions in Raytheon products Interact with customers to define SSE requirements, solutions, trades, costs, and implementation strategies Develop plans, estimates, task execution schedules, and risk mitigation strategies Guide SSE implementations and architectures for customer systems Conduct attack threat modeling and Critical Program Information (CPI) assessments Develop top-level system requirements and flow those into subsystem implementation concepts Ensure compliance with DoD technology release and export licensing policies Consult and assist program management with SSE architecture and issues Consult and assist program line management with SSE architectures and issues Performing Task Lead duties (e.g., task planning, product owner, scrum master) Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and 10 years of prior relevant experience The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in technical leadership Experience in the fields of System Security Engineering, computer technology reverse engineering, Anti Tamper, cybersecurity or embedded security Experience in designing, implementing, testing and fielding real-time embedded security solutions for DoD programs Experience generating systems requirements, design and architecture artifacts, plans and/or policies Qualifications We Prefer Active and transferable U.S. government issued DoD Secret security clearance Advanced Degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science or related fields Experience in developing Anti-Tamper, Cyber Security, and/or Program Protection requirements, architectures and plans Familiarity with software, firmware, microelectronics engineering, cryptography and FPGA design Expertise in attack threat modeling and Critical Program Information (CPI) assessments Cybersecurity certifications such as CISSP, GSLC or CEH in accordance with DoDD 8570/8140 Working knowledge of DoD directives such as DODI-S-5230.28 Experience in aircraft/weapons system integration Exceptional creativity, problem-solving abilities, and strong interpersonal skills Experience in solutions meeting robust SSE systems security requirements Program management experience with SSE Strategic planning and proposal writing skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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: ,-az-location 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links: "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role As K2's Principal Crypto Engineer, reporting to the VP of Satellite Engineering & Operations, you will own the technical architecture and design of our Type-1 cryptographic integrations across the spacecraft, payload, and ground segment. You'll lead these designs from concept and trade studies through implementation, integration, and test. You'll define how K2's satellites protect command, telemetry, and mission data at the hardware and software level, and build it to fit a high-volume satellite production line. You'll work hand-in-hand with our COMSEC Certification Lead on the National Security team, who owns the path to NSA approval. This is a foundational role: you'll set the cryptographic design standards the rest of the program builds against. Responsibilities Own the end-to-end technical architecture of Type-1 cryptographic integrations across the spacecraft, payload, and ground segment Lead crypto designs from concept and trade studies through implementation, integration, and test Design encryption, key management, and key loading implementations for command, telemetry, and mission data Integrate cryptographic functions into flight software, avionics, FPGA, RF, and ground systems in partnership with those teams Define hardware and software interfaces between crypto equipment and the broader system architecture Produce the design documentation and test evidence needed to support certification, working closely with K2's COMSEC Certification lead Identify and mitigate cryptographic design risks across hardware, software, and RF boundaries Establish reusable cryptographic designs, interfaces, and standards that scale across K2's production line Support anomaly resolution and troubleshooting for fielded and on-orbit crypto systems Qualifications Bachelor's degree or higher in electrical engineering, computer engineering, computer science, or a related discipline 5+ years of engineering experience designing or integrating cryptographic systems or secure communications Hands-on experience integrating NSA Type-1 cryptographic equipment into a hardware or software system Working knowledge of key management and key loading implementations Strong systems-level thinking, with the ability to reason from first principles across hardware, software, and RF boundaries Ability to work in a fast-paced, autonomously driven, and demanding startup atmosphere with competing priorities and aggressive schedules Nice to Have Experience with spacecraft, satellite, or other space-system cryptographic integrations Experience with embedded systems, FPGA design, or flight software Familiarity with cryptographic modernization initiatives and current NSA-approved algorithms and equipment Background in RF, link design, or secure command and telemetry systems Exposure to NSA certification processes Additional Requirements Ability to travel up to 15% of the time Active Top Secret or Top Secret SCI clearance required; ability to obtain and maintain access to additional programs as needed Ability to work irregular business hours to support critical project timelines or operations Compensation and Benefits Base salary range for this role is $160,000 - $245,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
11/04/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role As K2's Principal Crypto Engineer, reporting to the VP of Satellite Engineering & Operations, you will own the technical architecture and design of our Type-1 cryptographic integrations across the spacecraft, payload, and ground segment. You'll lead these designs from concept and trade studies through implementation, integration, and test. You'll define how K2's satellites protect command, telemetry, and mission data at the hardware and software level, and build it to fit a high-volume satellite production line. You'll work hand-in-hand with our COMSEC Certification Lead on the National Security team, who owns the path to NSA approval. This is a foundational role: you'll set the cryptographic design standards the rest of the program builds against. Responsibilities Own the end-to-end technical architecture of Type-1 cryptographic integrations across the spacecraft, payload, and ground segment Lead crypto designs from concept and trade studies through implementation, integration, and test Design encryption, key management, and key loading implementations for command, telemetry, and mission data Integrate cryptographic functions into flight software, avionics, FPGA, RF, and ground systems in partnership with those teams Define hardware and software interfaces between crypto equipment and the broader system architecture Produce the design documentation and test evidence needed to support certification, working closely with K2's COMSEC Certification lead Identify and mitigate cryptographic design risks across hardware, software, and RF boundaries Establish reusable cryptographic designs, interfaces, and standards that scale across K2's production line Support anomaly resolution and troubleshooting for fielded and on-orbit crypto systems Qualifications Bachelor's degree or higher in electrical engineering, computer engineering, computer science, or a related discipline 5+ years of engineering experience designing or integrating cryptographic systems or secure communications Hands-on experience integrating NSA Type-1 cryptographic equipment into a hardware or software system Working knowledge of key management and key loading implementations Strong systems-level thinking, with the ability to reason from first principles across hardware, software, and RF boundaries Ability to work in a fast-paced, autonomously driven, and demanding startup atmosphere with competing priorities and aggressive schedules Nice to Have Experience with spacecraft, satellite, or other space-system cryptographic integrations Experience with embedded systems, FPGA design, or flight software Familiarity with cryptographic modernization initiatives and current NSA-approved algorithms and equipment Background in RF, link design, or secure command and telemetry systems Exposure to NSA certification processes Additional Requirements Ability to travel up to 15% of the time Active Top Secret or Top Secret SCI clearance required; ability to obtain and maintain access to additional programs as needed Ability to work irregular business hours to support critical project timelines or operations Compensation and Benefits Base salary range for this role is $160,000 - $245,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Job Description Summary Job Description GE Vernova is in a rapid growth phase in the data center market. Come join a global operation delivering innovative power solutions uniquely from "generation to GPU", to the world's leading AI data center gigawatt-scale infrastructure projects. You will be a pivotal hyperscaler and colocation data center solution technical advocate and have a pulse on the latest architecture and design trends and tradeoffs to usher GEV into the next exciting era in data center evolution. Key Responsibilities: Serve as a "grid-to-GPU" power train technical architect for hyperscalers (AI training, AI inference, general purpose cloud), colocation (AI-centric and general tenancy models). Should be very knowledgeable about industry migration to 800V DC architectures. Serve as GEV's primary customer-facing technical authority for all AI training campus and hyperscale DC opportunities. Must have good customer presence and confident in solution architecture. Develop and own GEV "Campus Power Reference Architectures" - experience in designing and documenting single-line diagrams and power system designs for each of the data center archetypes using GEV products Lead technical discovery sessions with hyperscaler DC engineering teams - documenting power requirements, site constraints, and competitive install base Author technical proposals and power system studies (load flow, fault analysis, arc-flash) in support of RFP responses Collaborate with NPI/PM team to validate new product designs against real customer power systems (system design, sizing, and integration) Conduct internal technical training sessions for COE BD team and BU sales (minimum quarterly) on Data Center power architecture Represent and drive standards for GEV in OCP, Nvidia, other relevant organizations (joint role with Standards Liaison) Build and maintain a library of GEV data center customer case studies and reference designs for use in proposals and marketing. Help generate detailed competitive analysis. Serve as the center of competency for data center infrastructure design and operations/maintenance (full lifecycle perspective and knowledge). Disseminate knowledge withing GEV technical community Be able to guide roadmap, optimizations, TCO planning and analysis Must be able to travel, particularly within North America and EU, plus other locations Should have experience in infrastructure facility monitoring, telemetry, AI training and inference workload profiles Exposure in designing facility cooling and liquid cooling at the rack a plus Required Qualifications: Bachelors in Electrical Engineering or related field from an accredited college or university Overall 10+ years of relevant data center power train architect experience at hyperscaler, colocation, or top-tier OEM supplier with extensive hyperscale experience Willingness to travel up to 30% of the time including local and international. Must have personally designed, peer-reviewed, and/or operated/maintained the electrical systems for at least one hyperscale AI training (>=500MW) campus Must have experience with: AC/DC (esp 800VDC) power train and distribution architecture MV/LV switchgear and distribution architectures and equipment MV/LV UPS, solid-state transformers Battery Energy Storage Systems Source/load Power Quality issues and ways to resolve System TCO / design tradeoffs Aware of relevant Open Compute Project, NVidia/AMD, IEEE, NEMA, UL/IEC, ASHRAE, Uptime/TIA standards, protocols, and practices Preferred Qualifications: Selected candidate preferred to be based in a major US Data Center markets: Pacific Time Zone (esp. SF Bay Area, Seattle) Real-world Uptime / Reliability standards and compliant implementations Grid and islanded/microgrid architecture This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No - This is a remote position Application Deadline: December 01, 2026 For candidates applying to a U.S. based position, the pay range for this position is between $147,700.00 and $246,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on November 04, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
11/04/2026
Full time
Job Description Summary Job Description GE Vernova is in a rapid growth phase in the data center market. Come join a global operation delivering innovative power solutions uniquely from "generation to GPU", to the world's leading AI data center gigawatt-scale infrastructure projects. You will be a pivotal hyperscaler and colocation data center solution technical advocate and have a pulse on the latest architecture and design trends and tradeoffs to usher GEV into the next exciting era in data center evolution. Key Responsibilities: Serve as a "grid-to-GPU" power train technical architect for hyperscalers (AI training, AI inference, general purpose cloud), colocation (AI-centric and general tenancy models). Should be very knowledgeable about industry migration to 800V DC architectures. Serve as GEV's primary customer-facing technical authority for all AI training campus and hyperscale DC opportunities. Must have good customer presence and confident in solution architecture. Develop and own GEV "Campus Power Reference Architectures" - experience in designing and documenting single-line diagrams and power system designs for each of the data center archetypes using GEV products Lead technical discovery sessions with hyperscaler DC engineering teams - documenting power requirements, site constraints, and competitive install base Author technical proposals and power system studies (load flow, fault analysis, arc-flash) in support of RFP responses Collaborate with NPI/PM team to validate new product designs against real customer power systems (system design, sizing, and integration) Conduct internal technical training sessions for COE BD team and BU sales (minimum quarterly) on Data Center power architecture Represent and drive standards for GEV in OCP, Nvidia, other relevant organizations (joint role with Standards Liaison) Build and maintain a library of GEV data center customer case studies and reference designs for use in proposals and marketing. Help generate detailed competitive analysis. Serve as the center of competency for data center infrastructure design and operations/maintenance (full lifecycle perspective and knowledge). Disseminate knowledge withing GEV technical community Be able to guide roadmap, optimizations, TCO planning and analysis Must be able to travel, particularly within North America and EU, plus other locations Should have experience in infrastructure facility monitoring, telemetry, AI training and inference workload profiles Exposure in designing facility cooling and liquid cooling at the rack a plus Required Qualifications: Bachelors in Electrical Engineering or related field from an accredited college or university Overall 10+ years of relevant data center power train architect experience at hyperscaler, colocation, or top-tier OEM supplier with extensive hyperscale experience Willingness to travel up to 30% of the time including local and international. Must have personally designed, peer-reviewed, and/or operated/maintained the electrical systems for at least one hyperscale AI training (>=500MW) campus Must have experience with: AC/DC (esp 800VDC) power train and distribution architecture MV/LV switchgear and distribution architectures and equipment MV/LV UPS, solid-state transformers Battery Energy Storage Systems Source/load Power Quality issues and ways to resolve System TCO / design tradeoffs Aware of relevant Open Compute Project, NVidia/AMD, IEEE, NEMA, UL/IEC, ASHRAE, Uptime/TIA standards, protocols, and practices Preferred Qualifications: Selected candidate preferred to be based in a major US Data Center markets: Pacific Time Zone (esp. SF Bay Area, Seattle) Real-world Uptime / Reliability standards and compliant implementations Grid and islanded/microgrid architecture This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No - This is a remote position Application Deadline: December 01, 2026 For candidates applying to a U.S. based position, the pay range for this position is between $147,700.00 and $246,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on November 04, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Date Posted: 2026-07-14 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: 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. Raytheon is seeking a Principal Systems Security Engineer - Anti-Tamper/Program Protection (P4) to join our elite Systems Security Engineering (SSE) team within the Systems Engineering and Test Capabilities Directorate. This role is critical to safeguarding our Warfighters' technological advantages through the creation and integration of holistic security solutions, including Anti-Tamper, Cyber Security, Software Assurance and Supply Chain Risk Management. Join us in developing solutions that protect our nation and directly contribute to delivering for all those who defend all of us. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support the implementation of Systems Security Engineering (SSE) solutions in Raytheon products Interact with customers to define SSE requirements, solutions, trades, costs, and implementation strategies Develop plans, estimates, task execution schedules, and risk mitigation strategies Guide SSE implementations and architectures for customer systems Conduct attack threat modeling and Critical Program Information (CPI) assessments Develop top-level system requirements and flow those into subsystem implementation concepts Ensure compliance with DoD technology release and export licensing policies Consult and assist program management with SSE architecture and issues Consult and assist program line management with SSE architectures and issues Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in System Security Engineering, Anti-Tamper, Cybersecurity or Embedded System Security Experience in designing, implementing, testing and fielding real-time embedded security solutions for DoD programs Experience generating systems requirements, design and architecture artifacts, plans and/or policies Qualifications We Prefer Active and transferable U.S. government issued DoD Secret security clearance Advanced Degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science or related fields Experience in developing Anti-Tamper, Cyber Security, and/or Program Protection requirements, architectures and plans Familiarity with software, firmware, microelectronics engineering, cryptography and FPGA design Expertise in attack threat modeling and Critical Program Information (CPI) assessments Cybersecurity certifications such as CISSP, GSLC or CEH in accordance with DoDD 8570/8140 Working knowledge of DoD directives such as DODI-S-5230.28 Experience in aircraft/weapons system integration Exceptional creativity, problem-solving abilities, and strong interpersonal skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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: ,-az-location 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links: "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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
11/04/2026
Full time
Date Posted: 2026-07-14 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: 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. Raytheon is seeking a Principal Systems Security Engineer - Anti-Tamper/Program Protection (P4) to join our elite Systems Security Engineering (SSE) team within the Systems Engineering and Test Capabilities Directorate. This role is critical to safeguarding our Warfighters' technological advantages through the creation and integration of holistic security solutions, including Anti-Tamper, Cyber Security, Software Assurance and Supply Chain Risk Management. Join us in developing solutions that protect our nation and directly contribute to delivering for all those who defend all of us. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support the implementation of Systems Security Engineering (SSE) solutions in Raytheon products Interact with customers to define SSE requirements, solutions, trades, costs, and implementation strategies Develop plans, estimates, task execution schedules, and risk mitigation strategies Guide SSE implementations and architectures for customer systems Conduct attack threat modeling and Critical Program Information (CPI) assessments Develop top-level system requirements and flow those into subsystem implementation concepts Ensure compliance with DoD technology release and export licensing policies Consult and assist program management with SSE architecture and issues Consult and assist program line management with SSE architectures and issues Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in System Security Engineering, Anti-Tamper, Cybersecurity or Embedded System Security Experience in designing, implementing, testing and fielding real-time embedded security solutions for DoD programs Experience generating systems requirements, design and architecture artifacts, plans and/or policies Qualifications We Prefer Active and transferable U.S. government issued DoD Secret security clearance Advanced Degree in Electrical Engineering, Systems Engineering, Mechanical Engineering, Computer Science or related fields Experience in developing Anti-Tamper, Cyber Security, and/or Program Protection requirements, architectures and plans Familiarity with software, firmware, microelectronics engineering, cryptography and FPGA design Expertise in attack threat modeling and Critical Program Information (CPI) assessments Cybersecurity certifications such as CISSP, GSLC or CEH in accordance with DoDD 8570/8140 Working knowledge of DoD directives such as DODI-S-5230.28 Experience in aircraft/weapons system integration Exceptional creativity, problem-solving abilities, and strong interpersonal skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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: ,-az-location 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links: "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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: 2026-10-22 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: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Our Senior Embedded Software Engineer is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications 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 Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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
11/04/2026
Full time
Date Posted: 2026-10-22 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: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Our Senior Embedded Software Engineer is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications 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 Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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: 2026-07-08 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Job Summary : The Software Product Assurance Center's Software Security Sensors and Effectors Department is seeking a highly skilled individual to join our software team where you will employ Agile development techniques on embedded targets to continuously develop and deploy critical capabilities to the warfighter. We strive for technical excellence by drawing upon a workforce whose knowledge base and experience covers the complete spectrum of modern computing languages and platforms. As a professional embedded software engineer, the candidate will be involved with software and firmware design, development, integration, and testing of real-time embedded solutions with application software, with a focus on overall system integrity. Working side by side with Systems engineering to support generation of design concept and system architectural documentation. Support the decomposition of the architectural documentation in support of the generation and decomposition of requirements needed to support software development activities. The ideal candidate will also participate in Technical Integration Meetings with subcontractors to ensure selected hardware meets hardware and software requirements. The ideal candidate then, working individually or as part of a team, will be responsible for applying embedded principles to the design and development of hardened software applications. Software applications are developed using C and C++ on a variety of computing platforms running Linux and other real time operating systems. Lastly, the ideal candidate will ensure consistency across teams and remove impediments as they arise. Qualifications You Must Have: Requires a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 8+ years of experience Experience in an Agile and DevSecOps environment developing and maintaining software on an embedded processors/microcontroller. Demonstrated ability to work closely across other engineering disciplines (Systems Engineering, Hardware Engineering, etc.) to debug system and board level issues using software tools Experience working in a Linux environment with ability to modify and maintain Linux Kernel root file systems Experience developing multithreaded applications. Strong knowledge of building up and maintaining a code base built with CMake and Google Test. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Value: Proficiency with RTOS Systems, Linux device drivers, and/or embedded Linux Experience developing and troubleshooting on embedded targets Experience designing, implementing, testing, or deploying real-time embedded software solutions. Willingness to learn new techniques and apply critical thinking and problem-solving skills to diagnose customer issues. Knowledge of modern computer architectures and hardware technologies including: x86, ARM Architectures Field Programmable Gate Arrays (FPGAs) Working knowledge of the Linux Kernel development and device drivers for the Linux Kernel. Experience with bare-metal software development. Experience using version control systems such as Git or Subversion. Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. 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
11/04/2026
Full time
Date Posted: 2026-07-08 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Job Summary : The Software Product Assurance Center's Software Security Sensors and Effectors Department is seeking a highly skilled individual to join our software team where you will employ Agile development techniques on embedded targets to continuously develop and deploy critical capabilities to the warfighter. We strive for technical excellence by drawing upon a workforce whose knowledge base and experience covers the complete spectrum of modern computing languages and platforms. As a professional embedded software engineer, the candidate will be involved with software and firmware design, development, integration, and testing of real-time embedded solutions with application software, with a focus on overall system integrity. Working side by side with Systems engineering to support generation of design concept and system architectural documentation. Support the decomposition of the architectural documentation in support of the generation and decomposition of requirements needed to support software development activities. The ideal candidate will also participate in Technical Integration Meetings with subcontractors to ensure selected hardware meets hardware and software requirements. The ideal candidate then, working individually or as part of a team, will be responsible for applying embedded principles to the design and development of hardened software applications. Software applications are developed using C and C++ on a variety of computing platforms running Linux and other real time operating systems. Lastly, the ideal candidate will ensure consistency across teams and remove impediments as they arise. Qualifications You Must Have: Requires a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 8+ years of experience Experience in an Agile and DevSecOps environment developing and maintaining software on an embedded processors/microcontroller. Demonstrated ability to work closely across other engineering disciplines (Systems Engineering, Hardware Engineering, etc.) to debug system and board level issues using software tools Experience working in a Linux environment with ability to modify and maintain Linux Kernel root file systems Experience developing multithreaded applications. Strong knowledge of building up and maintaining a code base built with CMake and Google Test. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Value: Proficiency with RTOS Systems, Linux device drivers, and/or embedded Linux Experience developing and troubleshooting on embedded targets Experience designing, implementing, testing, or deploying real-time embedded software solutions. Willingness to learn new techniques and apply critical thinking and problem-solving skills to diagnose customer issues. Knowledge of modern computer architectures and hardware technologies including: x86, ARM Architectures Field Programmable Gate Arrays (FPGAs) Working knowledge of the Linux Kernel development and device drivers for the Linux Kernel. Experience with bare-metal software development. Experience using version control systems such as Git or Subversion. Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. 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
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Experienced and Senior Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. A final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Level 3: 5+ years of work related engineering experience with a Bachelor's. Preferred Qualifications (Desired Skills/Experience): Level 4: 9+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidate must relocate at own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $104,550 - $141,450 Level 4: $127,500 - $172,500 Applications for this position will be accepted until Nov. 12, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education . click apply for full job details
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Experienced and Senior Mission Systems Electronic Systems Design and Analysis Engineers to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. At Boeing, our Electrical Engineers develop electronic and electrical system requirements using analytical and technical skills, translate requirements into system architectures and modify hardware and software designs for Boeing aircraft, unmanned vehicles and much more. The candidate will enable the Mission Systems organization to continue to expand its business base and will participate in advancing aircraft technology. The team performs research into advanced concepts and prototypes for various communication, sensor, electronic warfare and other electromagnetic systems and components. The team is also responsible for developing system/subsystem requirements, participating with Software engineers with real-time Operational Flight Program (OFP) development, subsystem/system testing, and evaluating system performance in Flight Test. Simulation and modeling are utilized to assist in requirements development, software development and offsets some Flight Test verification. Our teams are currently hiring for a broad range of experience levels including Associate, Experienced and Senior Level Mission Systems Electronic Systems Design and Analysis Engineers. Position Responsibilities: Understand and apply job practices, techniques, standards, principles, theories, and concepts Develop, document and maintain electronic and electrical system requirements according to customer desires and contract requirements Develop statement-of-work and technical performance specifications Analyze, translate and implement requirements into system architecture, hardware and software designs and interface specifications, showing traceability throughout the product lifecycle Test and validate to ensure system designs meet operational and functional requirements Resolve product integration issues and production anomalies Support fielded hardware and software over the entire product lifecycle Investigate emerging technologies to develop concepts for future product designs to meet projected requirements Monitor supplier performance to ensure system integration and compliance with requirements Develop and document moderately complex electronic and electrical system requirements Design hardware, software and interface specifications Assist in monitoring supplier performance to ensure system integration and compliance with requirements Solve problems concerning fielded hardware and software over the entire product lifecycle Research specific technology advances for potential application to company business need This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Daytona Beach location. At some point, the candidate selected may be requested to travel and work onsite at Boeing, Berkeley, MO to receive training. This position requires the ability to obtain a US Security Clearance as a condition of employment for which the US Government requires US Citizenship. A final US Secret Clearance or higher post start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement. Level 3: 5+ years of work related engineering experience with a Bachelor's. Preferred Qualifications (Desired Skills/Experience): Level 4: 9+ years of work related engineering experience with a Bachelor's. Bachelor's degree or higher in Engineering, Physics, or Chemistry Experience with electronic system design, code and test Experience in developing or integrating Mission Systems for military aircraft Experience with requirements management tools, including experience with model-based system engineering (MBSE) development practices Experience navigating Interface Control Documents (ICD's) Experience with analysis of system data Experience working on an agile team and using Jira Experience using analytical, collaboration, communication and organizational skills An interim and/or final U.S. Secret or above clearance that has been active in the past 24 months is desired. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Education: Level 3: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Level 4: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidate must relocate at own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 3: $104,550 - $141,450 Level 4: $127,500 - $172,500 Applications for this position will be accepted until Nov. 12, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education . click apply for full job details
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: L64OLWgM. Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: JqNMz6v8OBQ Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): Bachelor Degree 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree Level 4: 9 or more years' related work experience or an equivalent combination of education and experience 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced: $118,150.00 - $159,850.00. Summary pay range for Senior: $149,600.00 - $202,400.00. Applications for this position will be accepted until Nov. 05, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: L64OLWgM. Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: JqNMz6v8OBQ Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): Bachelor Degree 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree Level 4: 9 or more years' related work experience or an equivalent combination of education and experience 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced: $118,150.00 - $159,850.00. Summary pay range for Senior: $149,600.00 - $202,400.00. Applications for this position will be accepted until Nov. 05, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is seeking a Staff Embedded Software Engineer / IPT Lead in Beavercreek, Ohio. This role leads a team developing embedded and real-time software solutions for mission-critical applications while also contributing hands-on across software architecture, development, integration, and test. The position works closely with Systems Engineering, Digital Engineering, Hardware, and Integration & Test in a collaborative Agile environment. Our Beavercreek team is part of Northrop Grumman Mission Systems and offers a highly collaborative, small-team environment within a larger enterprise. This role works across integrated teams and disciplines to develop advanced technologies and products that support critical customer missions. We value technical curiosity, collaboration, and bold thinking, and we are looking for engineers who can lead technical execution, mentor others, and solve hard problems in a mission-focused environment. Why This Role Is Exciting Mission-Driven Work: Help deliver embedded software capabilities that support critical customer missions and operational needs Technical Leadership: Lead a software team while influencing architecture, design, development, integration, and test Hands-On Engineering: Stay engaged in solving complex embedded and real-time software challenges Cross-Functional Collaboration: Work closely with Systems Engineering, Digital Engineering, Hardware, and Integration & Test in an Agile environment Broad Impact: Shape software solutions that connect customer needs, system intent, and implementation across multidisciplinary programs Basic Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Software Engineering, or related STEM discipline with 12 years of experience; Master's degree with 10 years of experience; or PhD with 7 years of experience Experience serving as a technical lead on a defense project Experience across the formal software lifecycle, including requirements, design, implementation, integration, and test Experience in C/C++ or Rust Experience developing and debugging embedded real-time systems US Citizenship is required An active US Government Secret clearance is required Ability to work full-time onsite in Beavercreek, Ohio Preferred Qualifications Experience developing software in Rust Experience with Xilinx-based platforms and tools Experience using Agile software development processes and tools such as Jira Experience using DevSecOps tools such as Git, Bitbucket, Jenkins, SonarQube, Fortify, or Nexus Familiarity with Linux kernel driver development and modification Primary Level Salary Range: $161,000.00 - $241,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/04/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is seeking a Staff Embedded Software Engineer / IPT Lead in Beavercreek, Ohio. This role leads a team developing embedded and real-time software solutions for mission-critical applications while also contributing hands-on across software architecture, development, integration, and test. The position works closely with Systems Engineering, Digital Engineering, Hardware, and Integration & Test in a collaborative Agile environment. Our Beavercreek team is part of Northrop Grumman Mission Systems and offers a highly collaborative, small-team environment within a larger enterprise. This role works across integrated teams and disciplines to develop advanced technologies and products that support critical customer missions. We value technical curiosity, collaboration, and bold thinking, and we are looking for engineers who can lead technical execution, mentor others, and solve hard problems in a mission-focused environment. Why This Role Is Exciting Mission-Driven Work: Help deliver embedded software capabilities that support critical customer missions and operational needs Technical Leadership: Lead a software team while influencing architecture, design, development, integration, and test Hands-On Engineering: Stay engaged in solving complex embedded and real-time software challenges Cross-Functional Collaboration: Work closely with Systems Engineering, Digital Engineering, Hardware, and Integration & Test in an Agile environment Broad Impact: Shape software solutions that connect customer needs, system intent, and implementation across multidisciplinary programs Basic Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Software Engineering, or related STEM discipline with 12 years of experience; Master's degree with 10 years of experience; or PhD with 7 years of experience Experience serving as a technical lead on a defense project Experience across the formal software lifecycle, including requirements, design, implementation, integration, and test Experience in C/C++ or Rust Experience developing and debugging embedded real-time systems US Citizenship is required An active US Government Secret clearance is required Ability to work full-time onsite in Beavercreek, Ohio Preferred Qualifications Experience developing software in Rust Experience with Xilinx-based platforms and tools Experience using Agile software development processes and tools such as Jira Experience using DevSecOps tools such as Git, Bitbucket, Jenkins, SonarQube, Fortify, or Nexus Familiarity with Linux kernel driver development and modification Primary Level Salary Range: $161,000.00 - $241,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Date Posted: 2026-10-01 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 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 Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued 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 Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. 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 Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 . click apply for full job details
11/04/2026
Full time
Date Posted: 2026-10-01 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 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 Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued 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 Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. 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 Offered Based On 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. This includes all production and maintenance employees, as they are essential to the development of our products. 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: 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. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 . click apply for full job details
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Job Description Why Messer? Messer is the world's largest privately held industrial gases company and what we do matters because it is woven into every part of life, from the medical gases that patients rely on to the essential elements needed to safely and sustainably produce the goods our communities depend on. The true strength of Messer is our people-at every level and in every role. Join us and take pride in the impact you will make by providing solutions essential to our world and lives. Reach your highest potential at our stable, inclusive company with diverse opportunities in a growing industry, supported by people who care. Messer stands apart because we put what matters first, and you matter. Responsibilities: Safety: • Understand and adhere to company safe work policies. • Follow Lone Worker Requirements. • Promote a safe work environment. • Report safety incidents and near misses. • Report any unsafe conditions, environmental concerns, and process problems to management immediately. • Contribute to the improvement of the Safety, Health, Environment and Quality programs. • Apply the HWP process, LOTO and energy isolation procedures as required for company and contractor personnel. • Follow EMOC procedure for all changes to process and operating procedures. • Maintain site orderliness. • Perform safety indoctrinations for contractors. Reliability: • Utilize web-based maintenance management system to execute, document and continuously improve equipment preventative and corrective maintenance strategy. • Maintain plant spares inventory and raise gaps to management attention • Follow work instructions and annotate with feedback. • Calibration, configuration, or replacement of field instrumentation devices. • Perform and document process and product analyzers calibration checks. • Efficiently troubleshoot and repair electrical equipment control circuits. • Efficiently troubleshoot and repair process control equipment. • Set up and safely operate all tools and equipment necessary to perform assigned work. • Functionally test or troubleshoot instrument or electrical control loops through to field devices to verify proper operation. • Calibrate custody meters and manage documentation. • Effectively prioritize and schedule all work activities. Process Operation and Efficiency: • Lead Shutdowns, Start-ups, Derime, and production state changes for plant(s) in area. • Apply the Hazardous Work Permit (HWP) process, Lock Out, Tag Out (LOTO) and energy isolation procedures • Follow EMOC procedure for all changes to process and operating procedures • Maintain site security and maintain site orderliness • Perform safety indoctrinations for contractors • Utilize Computerized Maintenance Management System • Perform and document process and product analyzers calibration checks • Troubleshoot process problems to identify equipment requiring maintenance • Perform water treatment tasks • Document activities and data in plant logbook and SAP system • Direct and monitor contractors • Participate in safety committee activities • Complete all training activities according to schedule and meet annual performance goals • Accept on call duty and overtime as required Administrative and Managerial: • Follow all Quality Control requirements to ensure a quality product is delivered to Messer's customers. Meet FDA requirements where applicable: • Maintain a Shutdown and Turnaround work list and schedule, efficiently use of downtime. • Maintain open continuous line of communication with manager. • Maintain orderly and clean work area and vehicle(s). • Direct and monitor contractors. • Lead and participate in operations and safety meetings. • Participate in safety committee activities as required. (drill planning, energy isolation reviews, etc.) • Support entry level technicians through coaching and mentoring. Required Skills: • Math - Basic algebra, fractions/percentages, unit conversion. • Personal computer proficiency and other software used by the company. • Strong interpersonal abilities to support team philosophy and strategy. • Strong interpersonal abilities to support mentoring/coaching activities. • Strong organizational ability. • Ability to work alone. • High mechanical aptitude and ability to work with simple mechanic's hand tools. • Familiar with codes and standards associated with wiring and conduit. • Comprehensive knowledge of applicable chemical manufacturing process and hazards within area or site. • Familiar with all process equipment and function. • Understanding of electrical hazards and safety, and ability to troubleshoot electrical systems, with support from central engineering. • Comprehensive knowledge of and ability to troubleshoot 4-20 mA transmitter and electro-pneumatic control loops. • Comprehensive knowledge and ability to troubleshoot pneumatic control systems consisting of I/Ps, solenoid valves, quick exhausts, actuators, regulators and proportional/integral controllers both stand alone and cascaded. • Comprehensive knowledge and ability to troubleshoot industrial refrigeration skids. • Comprehensive knowledge and ability to troubleshoot machinery vibration monitoring systems. • Understanding of all trip and interlock logic protecting people and equipment. • Comprehensive knowledge of control system architectures including hardware setup and software configuration. • Ability to interpret engineering drawings including P&IDs and PFDs. • Ability to interpret electrical drawings including Single line diagrams. • Able to navigate a document management system to find relevant work instructions, forms, and supporting documentation. • Ability to complete all preventive maintenance jobs according to best practice. • Capable of operating a forklift, and/or overhead crane, and/or man lift according to company policy. • Or certificate in a technical discipline or recent military training in a technical field. • Reside within a reasonable distance of plant. • Capable of distinguishing different colors. Basic Qualifications: • High School Diploma • 5 years of relevant experience in a related process plant operations reliability activity or recent military service in a technical field. • Valid driver's license Preferred Qualifications: • Associates Degree or certificate in a technical discipline or recent military training in a technical field preferred Physical Requirements: • Physically able to perform all duties required which may involve among other things: bending, stooping, kneeling, climbing ladders, and lifting and carrying loads of up to 50 lbs. • Ability to climb to heights over 200 ft above grade and work effectively. About Messer: Messer's safety culture, commitment to providing dependable supply and innovative gas technology solutions help customers unlock opportunities to be safer, more sustainable, more productive and more efficient, so their business thrives. We nurture lasting, meaningful relationships with customers, our communities, and with one another. We offer comprehensive benefits and appreciable pay, with steady schedules and opportunities for ongoing training and career progression. We prioritize and invest in our people at every level of our organization - the dedication, knowledge, customer focus and entrepreneurial spirit of our employees is what make Messer refreshingly different. If you need assistance with the application or would like to request accommodation, call .
11/04/2026
Full time
Job Description Job Description Why Messer? Messer is the world's largest privately held industrial gases company and what we do matters because it is woven into every part of life, from the medical gases that patients rely on to the essential elements needed to safely and sustainably produce the goods our communities depend on. The true strength of Messer is our people-at every level and in every role. Join us and take pride in the impact you will make by providing solutions essential to our world and lives. Reach your highest potential at our stable, inclusive company with diverse opportunities in a growing industry, supported by people who care. Messer stands apart because we put what matters first, and you matter. Responsibilities: Safety: • Understand and adhere to company safe work policies. • Follow Lone Worker Requirements. • Promote a safe work environment. • Report safety incidents and near misses. • Report any unsafe conditions, environmental concerns, and process problems to management immediately. • Contribute to the improvement of the Safety, Health, Environment and Quality programs. • Apply the HWP process, LOTO and energy isolation procedures as required for company and contractor personnel. • Follow EMOC procedure for all changes to process and operating procedures. • Maintain site orderliness. • Perform safety indoctrinations for contractors. Reliability: • Utilize web-based maintenance management system to execute, document and continuously improve equipment preventative and corrective maintenance strategy. • Maintain plant spares inventory and raise gaps to management attention • Follow work instructions and annotate with feedback. • Calibration, configuration, or replacement of field instrumentation devices. • Perform and document process and product analyzers calibration checks. • Efficiently troubleshoot and repair electrical equipment control circuits. • Efficiently troubleshoot and repair process control equipment. • Set up and safely operate all tools and equipment necessary to perform assigned work. • Functionally test or troubleshoot instrument or electrical control loops through to field devices to verify proper operation. • Calibrate custody meters and manage documentation. • Effectively prioritize and schedule all work activities. Process Operation and Efficiency: • Lead Shutdowns, Start-ups, Derime, and production state changes for plant(s) in area. • Apply the Hazardous Work Permit (HWP) process, Lock Out, Tag Out (LOTO) and energy isolation procedures • Follow EMOC procedure for all changes to process and operating procedures • Maintain site security and maintain site orderliness • Perform safety indoctrinations for contractors • Utilize Computerized Maintenance Management System • Perform and document process and product analyzers calibration checks • Troubleshoot process problems to identify equipment requiring maintenance • Perform water treatment tasks • Document activities and data in plant logbook and SAP system • Direct and monitor contractors • Participate in safety committee activities • Complete all training activities according to schedule and meet annual performance goals • Accept on call duty and overtime as required Administrative and Managerial: • Follow all Quality Control requirements to ensure a quality product is delivered to Messer's customers. Meet FDA requirements where applicable: • Maintain a Shutdown and Turnaround work list and schedule, efficiently use of downtime. • Maintain open continuous line of communication with manager. • Maintain orderly and clean work area and vehicle(s). • Direct and monitor contractors. • Lead and participate in operations and safety meetings. • Participate in safety committee activities as required. (drill planning, energy isolation reviews, etc.) • Support entry level technicians through coaching and mentoring. Required Skills: • Math - Basic algebra, fractions/percentages, unit conversion. • Personal computer proficiency and other software used by the company. • Strong interpersonal abilities to support team philosophy and strategy. • Strong interpersonal abilities to support mentoring/coaching activities. • Strong organizational ability. • Ability to work alone. • High mechanical aptitude and ability to work with simple mechanic's hand tools. • Familiar with codes and standards associated with wiring and conduit. • Comprehensive knowledge of applicable chemical manufacturing process and hazards within area or site. • Familiar with all process equipment and function. • Understanding of electrical hazards and safety, and ability to troubleshoot electrical systems, with support from central engineering. • Comprehensive knowledge of and ability to troubleshoot 4-20 mA transmitter and electro-pneumatic control loops. • Comprehensive knowledge and ability to troubleshoot pneumatic control systems consisting of I/Ps, solenoid valves, quick exhausts, actuators, regulators and proportional/integral controllers both stand alone and cascaded. • Comprehensive knowledge and ability to troubleshoot industrial refrigeration skids. • Comprehensive knowledge and ability to troubleshoot machinery vibration monitoring systems. • Understanding of all trip and interlock logic protecting people and equipment. • Comprehensive knowledge of control system architectures including hardware setup and software configuration. • Ability to interpret engineering drawings including P&IDs and PFDs. • Ability to interpret electrical drawings including Single line diagrams. • Able to navigate a document management system to find relevant work instructions, forms, and supporting documentation. • Ability to complete all preventive maintenance jobs according to best practice. • Capable of operating a forklift, and/or overhead crane, and/or man lift according to company policy. • Or certificate in a technical discipline or recent military training in a technical field. • Reside within a reasonable distance of plant. • Capable of distinguishing different colors. Basic Qualifications: • High School Diploma • 5 years of relevant experience in a related process plant operations reliability activity or recent military service in a technical field. • Valid driver's license Preferred Qualifications: • Associates Degree or certificate in a technical discipline or recent military training in a technical field preferred Physical Requirements: • Physically able to perform all duties required which may involve among other things: bending, stooping, kneeling, climbing ladders, and lifting and carrying loads of up to 50 lbs. • Ability to climb to heights over 200 ft above grade and work effectively. About Messer: Messer's safety culture, commitment to providing dependable supply and innovative gas technology solutions help customers unlock opportunities to be safer, more sustainable, more productive and more efficient, so their business thrives. We nurture lasting, meaningful relationships with customers, our communities, and with one another. We offer comprehensive benefits and appreciable pay, with steady schedules and opportunities for ongoing training and career progression. We prioritize and invest in our people at every level of our organization - the dedication, knowledge, customer focus and entrepreneurial spirit of our employees is what make Messer refreshingly different. If you need assistance with the application or would like to request accommodation, call .
Job Description Job Description Electronics Hardware Engineer II Department: Engineering Status: Full-Time, Exempt Position Overview Packet Digital is seeking an Electronics Hardware Engineer II to support the development of advanced electronics for unmanned systems, including drones, satellites, and terrestrial applications. This role offers opportunities to work throughout the product lifecycle, from concept and design to validation and production, while contributing to innovative aerospace and autonomous technologies. Responsibilities Develop hardware requirements based on customer and project needs Research, design, simulate, and validate electronic circuits and system architectures Create schematics and PCB layouts Support product development, testing, troubleshooting, and production activities Document BOMs, ECOs, and engineering changes Participate in design reviews and continuous process improvements Maintain engineering databases, components, and lab organization Collaborate with cross-functional teams and support customer needs Travel approximately 10-20%, including occasional overnight trips Perform other duties as assigned Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, or equivalent experience 2-4 years of experience with: Microcontroller-based designs CAN, USB, and serial communications Schematic capture and PCB design Thermal analysis and mitigation strategies Precision analog measurements Electronic test equipment including oscilloscopes, signal generators, and power supplies Strong troubleshooting, organizational, and communication skills Preferred Qualifications Lithium battery and battery management experience Solar power applications DC/DC converter design High-current PCB design (>50A) Space or aerospace hardware experience Low-power design expertise SPICE simulation experience Export Control Requirements (ITAR) This position may require access to technology or technical data subject to U.S. export control regulations, including ITAR. Applicants must be authorized to access such information in accordance with applicable U.S. export control laws. Equal Opportunity Employer Packet Digital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable law.
11/04/2026
Full time
Job Description Job Description Electronics Hardware Engineer II Department: Engineering Status: Full-Time, Exempt Position Overview Packet Digital is seeking an Electronics Hardware Engineer II to support the development of advanced electronics for unmanned systems, including drones, satellites, and terrestrial applications. This role offers opportunities to work throughout the product lifecycle, from concept and design to validation and production, while contributing to innovative aerospace and autonomous technologies. Responsibilities Develop hardware requirements based on customer and project needs Research, design, simulate, and validate electronic circuits and system architectures Create schematics and PCB layouts Support product development, testing, troubleshooting, and production activities Document BOMs, ECOs, and engineering changes Participate in design reviews and continuous process improvements Maintain engineering databases, components, and lab organization Collaborate with cross-functional teams and support customer needs Travel approximately 10-20%, including occasional overnight trips Perform other duties as assigned Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, or equivalent experience 2-4 years of experience with: Microcontroller-based designs CAN, USB, and serial communications Schematic capture and PCB design Thermal analysis and mitigation strategies Precision analog measurements Electronic test equipment including oscilloscopes, signal generators, and power supplies Strong troubleshooting, organizational, and communication skills Preferred Qualifications Lithium battery and battery management experience Solar power applications DC/DC converter design High-current PCB design (>50A) Space or aerospace hardware experience Low-power design expertise SPICE simulation experience Export Control Requirements (ITAR) This position may require access to technology or technical data subject to U.S. export control regulations, including ITAR. Applicants must be authorized to access such information in accordance with applicable U.S. export control laws. Equal Opportunity Employer Packet Digital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable law.
