Date Posted: 2026-08-05 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. . click apply for full job details
09/24/2026
Full time
Date Posted: 2026-08-05 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. . click apply for full job details
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
Job Description Job Description About TITAN At TITAN, we believe that intelligent automation is the future of manufacturing. Robots should integrate seamlessly into our world; Taking on the jobs people don't want, and elevating human labor from the shop floor to the control room. Our team of world class robotics engineers is dedicated to bridging the gap between cutting-edge research and robust, real-world solutions. We design and deploy practical, reliable, and scalable robotic systems that solve meaningful problems. By combining advanced sensing, intelligent automation, and precision process control, we enable robots to perform highly skilled, "artisanal" manufacturing tasks. Our solutions scale across a wide range of robotic configurations and processes, including mobile manipulators, fixed robotic cells, gantry and rail-mounted systems, and articulated workpieces. Today, TITAN systems are deployed across applications such as precision grinding, laser depainting, sanding, media blasting, non-destructive inspection (NDI), milling, and more. The Senior Autonomy Engineer Role We are seeking a talented and experienced Robotic Autonomy Engineer with a strong software development foundation to join our growing team. In this role, you will design, develop, test, and deploy autonomy solutions that scale across diverse industrial processes and robotic configurations. This is a highly technical and demanding position requiring the ability to conduct and translate cutting-edge research into robust, production-ready systems. The role sits at the intersection of robotics research and high-quality software engineering-balancing algorithmic innovation with disciplined engineering execution. You will collaborate closely with product, systems, hardware, and software teams to integrate advanced autonomy capabilities into our robotic platforms. Your work will directly impact real-world deployments, ensuring our systems are reliable, scalable, and capable of solving complex industrial challenges. Responsibilities: Design, develop, and maintain scalable autonomy solutions across multiple robotic platforms, solving complex, real-world industrial challenges. Partner with cross-functional teams-including systems, hardware, and software engineers-to ensure seamless integration between autonomy software and physical robotic systems. Write production-grade code that meets high standards for reliability and maintainability, including comprehensive unit testing, simulation validation, and field testing. Develop and implement advanced algorithms in areas such as multi-robot task allocation, high-dimensional planning and control, combinatorial optimization, motion planning, and adaptive process control. Drive system robustness through rigorous testing, validation, and continuous performance improvement in deployed environments. Qualifications: 5+ years of experience developing complex software systems, with a focus on robotics, AI/ML, automation, or related technologies as applied to real-world systems (beyond simulation) MS or PhD in robotics or a related field Deep expertise in C++, including extensive experience building and maintaining large-scale software systems using modern architecture and design patterns. Strong foundation in mathematics, algorithms, and analytical problem-solving , with the ability to translate theory into production-grade implementations. Proven ability to balance algorithmic rigor with practical, product-oriented engineering tradeoffs. Excellent lateral thinking skills and exceptional attention to detail, with the ability to move quickly while maintaining high technical standards. Preferred Skills: Experience with robotic kinematics, dynamics, and trajectory planning. Familiarity with combinatorial optimization and complex algorithmic design. Background in regression testing, automated schedulers, and robotics decision-makers. Aptitude in creation of simulations Previous startup experience, or comfort working in fast-moving environments Why You'll Like Working Here Real ownership and influence over both product and technical direction Small, senior team with high standards Focus on shipping and learning fast-not endless research demos Work that actually leaves the lab and hits the real world If you're excited about building autonomy that actually works in production and want to help shape the core of a robotics product, we'd love to talk. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready.
09/24/2026
Full time
Job Description Job Description About TITAN At TITAN, we believe that intelligent automation is the future of manufacturing. Robots should integrate seamlessly into our world; Taking on the jobs people don't want, and elevating human labor from the shop floor to the control room. Our team of world class robotics engineers is dedicated to bridging the gap between cutting-edge research and robust, real-world solutions. We design and deploy practical, reliable, and scalable robotic systems that solve meaningful problems. By combining advanced sensing, intelligent automation, and precision process control, we enable robots to perform highly skilled, "artisanal" manufacturing tasks. Our solutions scale across a wide range of robotic configurations and processes, including mobile manipulators, fixed robotic cells, gantry and rail-mounted systems, and articulated workpieces. Today, TITAN systems are deployed across applications such as precision grinding, laser depainting, sanding, media blasting, non-destructive inspection (NDI), milling, and more. The Senior Autonomy Engineer Role We are seeking a talented and experienced Robotic Autonomy Engineer with a strong software development foundation to join our growing team. In this role, you will design, develop, test, and deploy autonomy solutions that scale across diverse industrial processes and robotic configurations. This is a highly technical and demanding position requiring the ability to conduct and translate cutting-edge research into robust, production-ready systems. The role sits at the intersection of robotics research and high-quality software engineering-balancing algorithmic innovation with disciplined engineering execution. You will collaborate closely with product, systems, hardware, and software teams to integrate advanced autonomy capabilities into our robotic platforms. Your work will directly impact real-world deployments, ensuring our systems are reliable, scalable, and capable of solving complex industrial challenges. Responsibilities: Design, develop, and maintain scalable autonomy solutions across multiple robotic platforms, solving complex, real-world industrial challenges. Partner with cross-functional teams-including systems, hardware, and software engineers-to ensure seamless integration between autonomy software and physical robotic systems. Write production-grade code that meets high standards for reliability and maintainability, including comprehensive unit testing, simulation validation, and field testing. Develop and implement advanced algorithms in areas such as multi-robot task allocation, high-dimensional planning and control, combinatorial optimization, motion planning, and adaptive process control. Drive system robustness through rigorous testing, validation, and continuous performance improvement in deployed environments. Qualifications: 5+ years of experience developing complex software systems, with a focus on robotics, AI/ML, automation, or related technologies as applied to real-world systems (beyond simulation) MS or PhD in robotics or a related field Deep expertise in C++, including extensive experience building and maintaining large-scale software systems using modern architecture and design patterns. Strong foundation in mathematics, algorithms, and analytical problem-solving , with the ability to translate theory into production-grade implementations. Proven ability to balance algorithmic rigor with practical, product-oriented engineering tradeoffs. Excellent lateral thinking skills and exceptional attention to detail, with the ability to move quickly while maintaining high technical standards. Preferred Skills: Experience with robotic kinematics, dynamics, and trajectory planning. Familiarity with combinatorial optimization and complex algorithmic design. Background in regression testing, automated schedulers, and robotics decision-makers. Aptitude in creation of simulations Previous startup experience, or comfort working in fast-moving environments Why You'll Like Working Here Real ownership and influence over both product and technical direction Small, senior team with high standards Focus on shipping and learning fast-not endless research demos Work that actually leaves the lab and hits the real world If you're excited about building autonomy that actually works in production and want to help shape the core of a robotics product, we'd love to talk. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready. Company Description Titan Robotics, Inc. ("Titan," ) is a private small business located in the Airside Business Park with additional operations at the Pittsburgh International Airport. The candidate for this position will be primarily located at the Airside Business Park facility. Titan's operations focus on the development and production of robotic systems and equipment. This is an exciting and challenging opportunity to join a robotics company on a path for growth and success. We design and build custom systems with advanced technology that are production ready.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale. Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities. The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid role, you will report to a Technical Lead Manager. You will: Dive deep into the Waymo Driver's perception stack and build a deep understanding of its capabilities in various driving conditions Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products Experience developing and conducting eval for large ML software systems Strong experience programming in C++ with robust and efficient code We prefer: MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience Experience with autonomous vehicles (L4) or ADAS systems (L2/L3) Strong software architecture skills The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is seeking a Chief Engineer to lead the design, development, and technical integration for a product line of critical network capabilities. This role is not just about leading; it's about re-envisioning the technical future of secure, resilient, and high-bandwidth communication for all of Anduril and the DoW's autonomous platforms and integrated defense solutions. A successful candidate will not only have a strong technical background, but must also possess a vision for leadership that embraces Anduril's mission to disrupt the defense technology ecosystem across technical and programmatic domains. As Chief Engineer, you will be responsible for the end-to-end technical success and architectural coherence of complex, multi-disciplinary network systems. You will operate at the intersection of complex engineering challenges in embedded systems, networking protocols, mechanical integration, and strategic program execution. You will work directly with our most senior technical leaders, program managers, and customers to define, build, and deliver cutting-edge networking capabilities that impact national security. WHAT YOU'LL DO Technical Vision & Architecture: Own and define the comprehensive technical architecture, design principles, and engineering roadmap for complex, distributed network systems. Ensure technical consistency, scalability, performance, and cyber-resilience across all technical domains (embedded software, UI/UX design, network protocols, hardware integration, ruggedized mechanical designs). System Integrity & Risk Management: Serve as the ultimate technical arbiter, ensuring the integrity, reliability, security, and survivability of our network systems in contested and high security environments. Proactively identify and mitigate technical risks related to performance, security, and physical robustness. Engineering Leadership & Mentorship: Provide decisive technical leadership and guidance to large, multi-disciplinary engineering teams (Mechanical, Electrical, Software) to deliver high quality products that can be manufactured at scale. Foster a culture of technical excellence, rigorous design, rapid iteration, and continuous improvement, ensuring seamless collaboration across disciplines. Strategic Technical Guidance: Translate strategic objectives and customer needs into actionable technical requirements and solutions. Drive trade studies, technology selections, and critical design decisions related to network topology, protocol selection, embedded hardware integration, power management, thermal management, and software-defined networking. Stakeholder Engagement: Act as the primary technical interface with internal stakeholders (Product, Program Management, Executive Leadership) and external stakeholders (customers, partners, regulatory bodies), clearly articulating complex technical concepts, challenges, and solutions for network capabilities. Rapid Prototyping, Fielding, and Scaled Production: Drive aggressive timelines for design, development, integration, and testing of network systems, supporting rapid prototyping, fielding, and scaled production of operational capabilities for defense applications. REQUIRED QUALIFICATIONS 15+ years of progressive experience in complex network systems engineering, R&D, and product development, with a significant portion in a leadership or Chief Engineer capacity for multi-disciplinary systems. Deep and broad technical expertise across network system design and implementation, encompassing significant experience in at least two of the following areas, with a strong understanding of the others: Software Engineering: Network protocols (e.g., IP, routing, transport layer), distributed systems, embedded networking, real-time operating systems, cybersecurity for networks, data link layer implementation. Electrical Engineering: Digital communications, power systems for ruggedized network nodes, high-speed digital design for embedded processors, PCB design for communication systems. Mechanical Engineering: Ruggedized enclosure design, thermal management for radios and processors, vibration/shock mitigation, integration of network hardware onto various platforms (airborne, ground, maritime, soldier-worn). Cross-disciplinary systems integration experience, particularly bridging the gap between hardware and software for robust network performance in demanding environments. Proven ability to define, architect, and lead the development of highly complex, integrated network systems from concept through deployment and sustainment. Exceptional leadership skills with a track record of building, mentoring, and inspiring high-performing multi-disciplinary technical teams in fast-paced, challenging environments. Demonstrated experience in strategic technical planning, roadmapping, and managing technical debt while delivering on aggressive schedules for networking products. Strong problem-solving acumen, with the ability to break down highly ambiguous technical challenges related to network performance and resilience, and drive to practical, innovative solutions. Excellent communication, presentation, and interpersonal skills to effectively convey complex technical concepts to diverse audiences, including executives, customers, and technical teams across different engineering disciplines. Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field. Master's or Ph.D. preferred. Minimum Secret Security Clearance required. (Active TS/SCI strongly preferred). PREFERRED QUALIFICATIONS Background in cybersecurity for network infrastructure and resilience against near-peer nation state cyber risks. Experience with network modeling, simulation, and analysis tools for predicting performance in diverse environments. Demonstrated ability to drive technical decisions involving significant financial and programmatic impact for network system development. Familiarity with military communication standards and requirements (e.g., Joint All-Domain Command and Control (JADC2) concepts). US Salary Range $254,000-$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: . click apply for full job details
09/23/2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is seeking a Chief Engineer to lead the design, development, and technical integration for a product line of critical network capabilities. This role is not just about leading; it's about re-envisioning the technical future of secure, resilient, and high-bandwidth communication for all of Anduril and the DoW's autonomous platforms and integrated defense solutions. A successful candidate will not only have a strong technical background, but must also possess a vision for leadership that embraces Anduril's mission to disrupt the defense technology ecosystem across technical and programmatic domains. As Chief Engineer, you will be responsible for the end-to-end technical success and architectural coherence of complex, multi-disciplinary network systems. You will operate at the intersection of complex engineering challenges in embedded systems, networking protocols, mechanical integration, and strategic program execution. You will work directly with our most senior technical leaders, program managers, and customers to define, build, and deliver cutting-edge networking capabilities that impact national security. WHAT YOU'LL DO Technical Vision & Architecture: Own and define the comprehensive technical architecture, design principles, and engineering roadmap for complex, distributed network systems. Ensure technical consistency, scalability, performance, and cyber-resilience across all technical domains (embedded software, UI/UX design, network protocols, hardware integration, ruggedized mechanical designs). System Integrity & Risk Management: Serve as the ultimate technical arbiter, ensuring the integrity, reliability, security, and survivability of our network systems in contested and high security environments. Proactively identify and mitigate technical risks related to performance, security, and physical robustness. Engineering Leadership & Mentorship: Provide decisive technical leadership and guidance to large, multi-disciplinary engineering teams (Mechanical, Electrical, Software) to deliver high quality products that can be manufactured at scale. Foster a culture of technical excellence, rigorous design, rapid iteration, and continuous improvement, ensuring seamless collaboration across disciplines. Strategic Technical Guidance: Translate strategic objectives and customer needs into actionable technical requirements and solutions. Drive trade studies, technology selections, and critical design decisions related to network topology, protocol selection, embedded hardware integration, power management, thermal management, and software-defined networking. Stakeholder Engagement: Act as the primary technical interface with internal stakeholders (Product, Program Management, Executive Leadership) and external stakeholders (customers, partners, regulatory bodies), clearly articulating complex technical concepts, challenges, and solutions for network capabilities. Rapid Prototyping, Fielding, and Scaled Production: Drive aggressive timelines for design, development, integration, and testing of network systems, supporting rapid prototyping, fielding, and scaled production of operational capabilities for defense applications. REQUIRED QUALIFICATIONS 15+ years of progressive experience in complex network systems engineering, R&D, and product development, with a significant portion in a leadership or Chief Engineer capacity for multi-disciplinary systems. Deep and broad technical expertise across network system design and implementation, encompassing significant experience in at least two of the following areas, with a strong understanding of the others: Software Engineering: Network protocols (e.g., IP, routing, transport layer), distributed systems, embedded networking, real-time operating systems, cybersecurity for networks, data link layer implementation. Electrical Engineering: Digital communications, power systems for ruggedized network nodes, high-speed digital design for embedded processors, PCB design for communication systems. Mechanical Engineering: Ruggedized enclosure design, thermal management for radios and processors, vibration/shock mitigation, integration of network hardware onto various platforms (airborne, ground, maritime, soldier-worn). Cross-disciplinary systems integration experience, particularly bridging the gap between hardware and software for robust network performance in demanding environments. Proven ability to define, architect, and lead the development of highly complex, integrated network systems from concept through deployment and sustainment. Exceptional leadership skills with a track record of building, mentoring, and inspiring high-performing multi-disciplinary technical teams in fast-paced, challenging environments. Demonstrated experience in strategic technical planning, roadmapping, and managing technical debt while delivering on aggressive schedules for networking products. Strong problem-solving acumen, with the ability to break down highly ambiguous technical challenges related to network performance and resilience, and drive to practical, innovative solutions. Excellent communication, presentation, and interpersonal skills to effectively convey complex technical concepts to diverse audiences, including executives, customers, and technical teams across different engineering disciplines. Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field. Master's or Ph.D. preferred. Minimum Secret Security Clearance required. (Active TS/SCI strongly preferred). PREFERRED QUALIFICATIONS Background in cybersecurity for network infrastructure and resilience against near-peer nation state cyber risks. Experience with network modeling, simulation, and analysis tools for predicting performance in diverse environments. Demonstrated ability to drive technical decisions involving significant financial and programmatic impact for network system development. Familiarity with military communication standards and requirements (e.g., Joint All-Domain Command and Control (JADC2) concepts). US Salary Range $254,000-$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: . click apply for full job details
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is recruiting a Staff Software Engineer to lead design and development of mission planning, routing, and human-assisted autonomy for Kodiak driverless trucks. The role provides scope and visibility to influence the roadmap for the entire motion planning stack, including behavior, prediction, and trajectory generation. This is an opportunity to collaborate with Product, Perception, Controls, and other cross-functional teams in order to improve overall autonomy performance. Customers interact with Kodiak trucks through mission assignments, making this a key engineering position to achieve product excellence. The role spans a range of motion planning responsibilities, from graph traversal and routing, to mission planning and product development, to human-assisted autonomy and operations. In this role, you will: Lead the design and development of mission planning, routing, and human-assisted autonomy for driverless operation on public roads Develop the architecture and long-term roadmap for motion planning Identify metrics to orient engineering teams toward product excellence Study the product for opportunities to delight our customers Mentor and provide technical leadership to junior and senior engineers, raising the bar for engineering excellence across the engineering organization Integrate onboard and offboard driving logic Collaborate with human-assisted autonomy and operations specialists to facilitate safe, efficient missions Evaluate the effectiveness of the Kodiak Driver Automate and expedite truck launches and landings Partner cross-functionally with Perception, Controls, Systems, Simulation, and Product teams to define interfaces, requirements, and system behavior Solve difficult real-world problems involving route generation, mission updates, responsive driving, real-time and cloud computing, and more! What you'll bring: 6+ years of experience developing production-level robotics software Strong facility with modern C++ Expertise in motion planning, graph theory, distributed computing, and related domains Delivery of complex autonomous systems Leadership to solve ambiguous, real-world challenges Bonus points if you have: Managed or mentored robotics engineers Deployed software on autonomous vehicles Built a safety case for driverless autonomy Improved system performance (latency, throughput, reliability) in production environments Built on simulation frameworks Based decisions on data analysis What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $200,000-$250,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.
09/23/2026
Full time
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is recruiting a Staff Software Engineer to lead design and development of mission planning, routing, and human-assisted autonomy for Kodiak driverless trucks. The role provides scope and visibility to influence the roadmap for the entire motion planning stack, including behavior, prediction, and trajectory generation. This is an opportunity to collaborate with Product, Perception, Controls, and other cross-functional teams in order to improve overall autonomy performance. Customers interact with Kodiak trucks through mission assignments, making this a key engineering position to achieve product excellence. The role spans a range of motion planning responsibilities, from graph traversal and routing, to mission planning and product development, to human-assisted autonomy and operations. In this role, you will: Lead the design and development of mission planning, routing, and human-assisted autonomy for driverless operation on public roads Develop the architecture and long-term roadmap for motion planning Identify metrics to orient engineering teams toward product excellence Study the product for opportunities to delight our customers Mentor and provide technical leadership to junior and senior engineers, raising the bar for engineering excellence across the engineering organization Integrate onboard and offboard driving logic Collaborate with human-assisted autonomy and operations specialists to facilitate safe, efficient missions Evaluate the effectiveness of the Kodiak Driver Automate and expedite truck launches and landings Partner cross-functionally with Perception, Controls, Systems, Simulation, and Product teams to define interfaces, requirements, and system behavior Solve difficult real-world problems involving route generation, mission updates, responsive driving, real-time and cloud computing, and more! What you'll bring: 6+ years of experience developing production-level robotics software Strong facility with modern C++ Expertise in motion planning, graph theory, distributed computing, and related domains Delivery of complex autonomous systems Leadership to solve ambiguous, real-world challenges Bonus points if you have: Managed or mentored robotics engineers Deployed software on autonomous vehicles Built a safety case for driverless autonomy Improved system performance (latency, throughput, reliability) in production environments Built on simulation frameworks Based decisions on data analysis What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $200,000-$250,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together. We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril's Lattice ecosystem. ABOUT THE JOB We are seeking a Robotics Software Engineer to join the Maneuver Dominance team. In this role, you will design, develop, and integrate software that connects autonomous platforms with mission payloads, including stores management systems (SMS), networked devices, and hardware interfaces. You will architect APIs and data transport layers that move information reliably between vehicles, payloads, and ground systems in demanding operational environments. If you thrive in a fast-paced environment, enjoy solving complex problems at the intersection of software, networking, and hardware, and are passionate about delivering mission-critical systems, this opportunity is for you. WHAT YOU'LL DO Develop Networked Software: Engineer scalable, robust software that interacts with networking devices, managed networks, and common router or switch hardware. Payload & SMS Integration: Design and implement software that interfaces with stores management systems (SMS) and other payload subsystems to coordinate the release and control of munitions and mission payloads. API/ICD Design: Architect and implement software APIs and Interface Control Documents (ICDs) using HTTP, REST, and gRPC to connect distributed systems across vehicles, payloads, and ground stations. Data Transport Engineering: Build and optimize low-level data transport over UDP and TCP, ensuring reliable, low-latency communication in constrained operational environments. Hardware-Interfacing Software: Write code that interfaces directly with hardware, bridging embedded devices, sensors, and payload electronics with higher-level autonomy software. Collaborate Cross-Functionally: Partner with hardware, systems, vehicle, and payload teams to seamlessly integrate software into physical platforms. Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments. Iterative Development: Contribute across the entire software lifecycle, including prototyping, implementation, testing, and deployment. Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success. REQUIRED QUALIFICATIONS Technical Expertise: Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field. C++ or Rust Proficiency: 3+ years of hands-on experience developing production-grade software in C++ and/or Rust. Strong programmers in adjacent systems languages will be considered if other qualifications are met. Networking Software: Experience building software that interacts with networking devices, managed networks, and common router or switch hardware. API/ICD Design: Experience designing and implementing software APIs and ICDs, including work with HTTP, REST, and gRPC. Data Transport: Solid understanding of low-level data transport layers, including UDP and TCP. Hardware Interfacing: Experience writing code that interfaces with hardware (embedded devices, sensors, or payload electronics). Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases. Real-World Impact: Passion for building software that directly influences mission-critical outcomes. Travel Flexibility: Willingness to travel up to 25% to test and deploy systems. Security Clearance: Must be eligible for a US security clearance. PREFERRED QUALIFICATIONS Stores Management Systems: Direct experience with stores management systems (SMS) or related munitions/payload release systems in aerospace or defense platforms. Aerospace/Defense Background: Familiarity with aerospace integration standards, vehicle bus protocols (e.g., MIL-STD-1553, ARINC), or DO-178/DO-254 development practices. Distributed Systems: Experience designing fault-tolerant distributed systems and message-passing frameworks for multi-node coordination. Embedded & Real-Time Systems: Experience with embedded Linux, RTOS, or bare-metal development on resource-constrained hardware. Programming Skills: Additional experience with Python, Go, or scripting for tooling and test automation. Performance Optimization: Familiarity with profiling and optimizing networked and hardware-interfacing software. US Salary Range $166,000-$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
09/23/2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together. We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril's Lattice ecosystem. ABOUT THE JOB We are seeking a Robotics Software Engineer to join the Maneuver Dominance team. In this role, you will design, develop, and integrate software that connects autonomous platforms with mission payloads, including stores management systems (SMS), networked devices, and hardware interfaces. You will architect APIs and data transport layers that move information reliably between vehicles, payloads, and ground systems in demanding operational environments. If you thrive in a fast-paced environment, enjoy solving complex problems at the intersection of software, networking, and hardware, and are passionate about delivering mission-critical systems, this opportunity is for you. WHAT YOU'LL DO Develop Networked Software: Engineer scalable, robust software that interacts with networking devices, managed networks, and common router or switch hardware. Payload & SMS Integration: Design and implement software that interfaces with stores management systems (SMS) and other payload subsystems to coordinate the release and control of munitions and mission payloads. API/ICD Design: Architect and implement software APIs and Interface Control Documents (ICDs) using HTTP, REST, and gRPC to connect distributed systems across vehicles, payloads, and ground stations. Data Transport Engineering: Build and optimize low-level data transport over UDP and TCP, ensuring reliable, low-latency communication in constrained operational environments. Hardware-Interfacing Software: Write code that interfaces directly with hardware, bridging embedded devices, sensors, and payload electronics with higher-level autonomy software. Collaborate Cross-Functionally: Partner with hardware, systems, vehicle, and payload teams to seamlessly integrate software into physical platforms. Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments. Iterative Development: Contribute across the entire software lifecycle, including prototyping, implementation, testing, and deployment. Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success. REQUIRED QUALIFICATIONS Technical Expertise: Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field. C++ or Rust Proficiency: 3+ years of hands-on experience developing production-grade software in C++ and/or Rust. Strong programmers in adjacent systems languages will be considered if other qualifications are met. Networking Software: Experience building software that interacts with networking devices, managed networks, and common router or switch hardware. API/ICD Design: Experience designing and implementing software APIs and ICDs, including work with HTTP, REST, and gRPC. Data Transport: Solid understanding of low-level data transport layers, including UDP and TCP. Hardware Interfacing: Experience writing code that interfaces with hardware (embedded devices, sensors, or payload electronics). Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases. Real-World Impact: Passion for building software that directly influences mission-critical outcomes. Travel Flexibility: Willingness to travel up to 25% to test and deploy systems. Security Clearance: Must be eligible for a US security clearance. PREFERRED QUALIFICATIONS Stores Management Systems: Direct experience with stores management systems (SMS) or related munitions/payload release systems in aerospace or defense platforms. Aerospace/Defense Background: Familiarity with aerospace integration standards, vehicle bus protocols (e.g., MIL-STD-1553, ARINC), or DO-178/DO-254 development practices. Distributed Systems: Experience designing fault-tolerant distributed systems and message-passing frameworks for multi-node coordination. Embedded & Real-Time Systems: Experience with embedded Linux, RTOS, or bare-metal development on resource-constrained hardware. Programming Skills: Additional experience with Python, Go, or scripting for tooling and test automation. Performance Optimization: Familiarity with profiling and optimizing networked and hardware-interfacing software. US Salary Range $166,000-$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and you will report to a Systems Engineering Manager. You will: Define OEM Requirements & Architecture: Collaborate with internal product teams and external OEM partners to author requirements for vehicle Body Control systems, network architectures, and functional safety interfaces Develop Embedded Software/Hardware Specifications: Write detailed requirements for internal embedded software and hardware adjacencies to implement Body Control functions (e.g., doors, locks, windows, HVAC, lighting, and SDS interfaces) Lead Core Feature Development: Drive the development, power mode management, and digital key architecture from initial target-setting through to verification and validation against program milestones Execute Verification & Validation (V&V): Create V&V plans, execute tests, analyze data, and troubleshoot field/prototype defects across various platform phases, leveraging operations teams for resolution Bridge Engineering & Implementation: Work closely with embedded software teams during implementation, authoring and updating architecture design documents to ensure all requirements are met Manage Fleet Delivery & Integration: Track and manage the delivery timing of feature sets and software updates to the vehicle prototype fleet, resolving troubleshooting issues to meet capability targets You have: Bachelor's degree in Electrical Engineering, Robotics Engineering, Mechatronics Engineering, or similar At least 3 years experience in an automotive (or similar industry) Body Controls and software role delivering hardware and/or software Working knowledge of vehicle communication network systems (CAN, FlexRay, LIN, Ethernet, etc.) Experience with body control systems such as doors, interior/exterior lighting, windows, seats, switchgear, etc Experience mapping out architectures and drafting requirements for complex vehicle systems Rigorous mindset and an attention to detail, to ensure gaps and flow-downs are fully covered We prefer: Deep experience with Body Control systems, related software, and vehicle hardware Experience creating & negotiating requirements with automotive partners and OEMs Create and execute effective test / design validation plans A strong root-cause analysis mindset to problem solving A hands-on attitude to testing & verification The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$242,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and you will report to a Systems Engineering Manager. You will: Define OEM Requirements & Architecture: Collaborate with internal product teams and external OEM partners to author requirements for vehicle Body Control systems, network architectures, and functional safety interfaces Develop Embedded Software/Hardware Specifications: Write detailed requirements for internal embedded software and hardware adjacencies to implement Body Control functions (e.g., doors, locks, windows, HVAC, lighting, and SDS interfaces) Lead Core Feature Development: Drive the development, power mode management, and digital key architecture from initial target-setting through to verification and validation against program milestones Execute Verification & Validation (V&V): Create V&V plans, execute tests, analyze data, and troubleshoot field/prototype defects across various platform phases, leveraging operations teams for resolution Bridge Engineering & Implementation: Work closely with embedded software teams during implementation, authoring and updating architecture design documents to ensure all requirements are met Manage Fleet Delivery & Integration: Track and manage the delivery timing of feature sets and software updates to the vehicle prototype fleet, resolving troubleshooting issues to meet capability targets You have: Bachelor's degree in Electrical Engineering, Robotics Engineering, Mechatronics Engineering, or similar At least 3 years experience in an automotive (or similar industry) Body Controls and software role delivering hardware and/or software Working knowledge of vehicle communication network systems (CAN, FlexRay, LIN, Ethernet, etc.) Experience with body control systems such as doors, interior/exterior lighting, windows, seats, switchgear, etc Experience mapping out architectures and drafting requirements for complex vehicle systems Rigorous mindset and an attention to detail, to ensure gaps and flow-downs are fully covered We prefer: Deep experience with Body Control systems, related software, and vehicle hardware Experience creating & negotiating requirements with automotive partners and OEMs Create and execute effective test / design validation plans A strong root-cause analysis mindset to problem solving A hands-on attitude to testing & verification The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$242,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our TechnicalSpecialists, are critical to this expansion, enabling us to scale safely and efficiently. Why this team is Essential to Waymo's Success: In this role you will: Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows. Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance. Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features. A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment. Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment. You have: BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring. Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics. Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team. We prefer: Demonstrated strong execution with ability to drive outcomes. Experience working with offshore teams / multiple local operations hubs. Basic SQL querying. Competency in LLM / transformer models, and / or ML for robotics domain experience. A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions. Self-motivated with basic skills in task planning and time management. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year (Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $130,000-$160,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. Waymo is experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our TechnicalSpecialists, are critical to this expansion, enabling us to scale safely and efficiently. Why this team is Essential to Waymo's Success: In this role you will: Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows. Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance. Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features. A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment. Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment. You have: BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring. Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics. Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. Must have the ability to provide occasional on-call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team. We prefer: Demonstrated strong execution with ability to drive outcomes. Experience working with offshore teams / multiple local operations hubs. Basic SQL querying. Competency in LLM / transformer models, and / or ML for robotics domain experience. A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions. Self-motivated with basic skills in task planning and time management. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year (Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $130,000-$160,000 USD
THE COMPANY Saildrone is a maritime defense company and the global leader in autonomous unmanned surface vehicles (USVs). With more ocean miles and real-world operational experience than any USV manufacturer or operator, Saildrone maintains active, combat-deployed systems supporting national security and force projection around the world, 24/7/365. Saildrone's manufacturing and R&D headquarters are located in Alameda, CA, with business development and sales operations in Washington, DC, and deployment hubs in Europe and the Middle East. By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and the most advanced and robust unmanned surface technology on the planet, Saildrone is shaping how the Navy of the future operates. Join a fast-moving, mission-driven team at the forefront of maritime security and autonomous innovation. THE POSITION Saildrone is seeking a Staff Software Engineer, Perception to join our Robotics Software Org. Reporting to the Engineering Manager, Perception, you will play a critical role in enabling real-time detection, tracking, and classification of vessels across Saildrone's autonomous fleet. You will architect and deliver perception systems that operate reliably in complex maritime environments, directly advancing Saildrone's mission to provide persistent maritime intelligence. We are looking for a technical expert who creates clarity from ambiguity, drives high-performance systems from concept to deployment, and thrives in solving hard autonomy problems in real-world conditions. This role is required to be onsite in Alameda, CA in the Bay Area 3 days per week - this is our hybrid model. This is not a remote position. THE TEAM The Perception Engineering team is responsible for the design, development, and deployment of cutting-edge multi-sensor perception payloads. We are focused on delivering robust, scalable solutions for global maritime domain awareness to combat illegal activities, support national security, and ensure the safety of our unmanned surface vehicles (USVs) in the world's most challenging oceans. THE RESPONSIBILITIES Lead end-to-end perception engineering efforts, owning the technical pipeline all the way from low-level sensor Hardware Abstraction Layers (HALs) to high-level multi-modal sensor fusion algorithms. Jump fluidly across different layers of the perception stack, seamlessly pivoting from raw data drivers to deep learning tracking models by leveraging extensive, hands-on domain knowledge. Bridge the gap between theory and execution by quickly productionizing state-of-the-art computer vision and machine learning research into rugged, real-time code. Be accountable for high-performance C++ software pipelines on real-time edge computing platforms, ensuring absolute reliability for months-long, autonomous ocean deployments. Work closely with Autonomy, Machine Learning, and Hardware teams to integrate and fuse multi-modal data-combining radar, camera, and AIS-to mitigate vehicle motion and wave clutter. Carry out day-to-day work utilizing our custom, next-gen state-of-the-art perception software and modern GPU-accelerated environments in accordance with established safety and performance standards. Monitor for system inefficiencies, sensor degradation, or algorithmic bottlenecks, take action to mitigate risks, and escalate when processing or power thresholds are exceeded. Design and maintain large-scale regression testing and simulation frameworks, utilizing Python to analyze real-world mission telemetry and evaluate algorithm performance. THE QUALIFICATIONS 8+ years of professional experience writing production-grade software (primarily C++) for robotics, autonomous vehicles, or aerospace applications. Deep, full-stack perception domain knowledge spanning sensor drivers, calibration, target tracking, computer vision, and multi-sensor fusion. Proven track record of evaluating academic papers or cutting-edge research and rapidly converting them into optimized, production-ready code. Experience deploying GPU-accelerated algorithms and machine learning models to resource-constrained edge devices (e.g., NVIDIA Jetson/AGX). Strong track record of technical leadership and cross-functional collaboration to solve hard autonomy problems from concept to real-world deployment. BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. The base salary range for this position is shown below. Actual compensation may vary based on skills, experience, and qualifications. This range reflects the base salary for candidates in states requiring pay transparency disclosure. Salary Range $215,000-$270,000 USD To view Saildrone's candidate privacy policy, please visit: BENEFITS At Saildrone, we're building operational capability that matters-and that requires people who can do their best work over the long term. We invest in our team's well-being, financial security, and professional growth so you can focus on delivering real-world impact with confidence and stability. Our comprehensive benefits package is designed to support you and your family while you contribute to a mission with lasting significance. Generous Time Off: Competitive Paid Time Off (PTO) accrual plus a robust annual holiday schedule and paid sick leave ensure you can rest, reset, and sustain performance over time. Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents-providing security and peace of mind. Shared Ownership in the Mission: Equity grants are a core part of our compensation, allowing you to participate in the long-term value you help create through meaningful, operational work. Retirement Savings: Access to a 401(k) retirement plan with flexible pre-tax and Roth payroll contribution options supports long-term financial planning. Investment in Your Growth: We support your continuous learning through an annual professional development reimbursement program, empowering you to sharpen your skills and stay ahead of the curve in a rapidly evolving field. Relocation Support: For eligible roles, we offer relocation assistance to help bring the world's best talent to our mission-critical locations. Saildrone is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
09/23/2026
Full time
THE COMPANY Saildrone is a maritime defense company and the global leader in autonomous unmanned surface vehicles (USVs). With more ocean miles and real-world operational experience than any USV manufacturer or operator, Saildrone maintains active, combat-deployed systems supporting national security and force projection around the world, 24/7/365. Saildrone's manufacturing and R&D headquarters are located in Alameda, CA, with business development and sales operations in Washington, DC, and deployment hubs in Europe and the Middle East. By combining proven autonomous operations, edge computing, advanced sensing, renewable power, and the most advanced and robust unmanned surface technology on the planet, Saildrone is shaping how the Navy of the future operates. Join a fast-moving, mission-driven team at the forefront of maritime security and autonomous innovation. THE POSITION Saildrone is seeking a Staff Software Engineer, Perception to join our Robotics Software Org. Reporting to the Engineering Manager, Perception, you will play a critical role in enabling real-time detection, tracking, and classification of vessels across Saildrone's autonomous fleet. You will architect and deliver perception systems that operate reliably in complex maritime environments, directly advancing Saildrone's mission to provide persistent maritime intelligence. We are looking for a technical expert who creates clarity from ambiguity, drives high-performance systems from concept to deployment, and thrives in solving hard autonomy problems in real-world conditions. This role is required to be onsite in Alameda, CA in the Bay Area 3 days per week - this is our hybrid model. This is not a remote position. THE TEAM The Perception Engineering team is responsible for the design, development, and deployment of cutting-edge multi-sensor perception payloads. We are focused on delivering robust, scalable solutions for global maritime domain awareness to combat illegal activities, support national security, and ensure the safety of our unmanned surface vehicles (USVs) in the world's most challenging oceans. THE RESPONSIBILITIES Lead end-to-end perception engineering efforts, owning the technical pipeline all the way from low-level sensor Hardware Abstraction Layers (HALs) to high-level multi-modal sensor fusion algorithms. Jump fluidly across different layers of the perception stack, seamlessly pivoting from raw data drivers to deep learning tracking models by leveraging extensive, hands-on domain knowledge. Bridge the gap between theory and execution by quickly productionizing state-of-the-art computer vision and machine learning research into rugged, real-time code. Be accountable for high-performance C++ software pipelines on real-time edge computing platforms, ensuring absolute reliability for months-long, autonomous ocean deployments. Work closely with Autonomy, Machine Learning, and Hardware teams to integrate and fuse multi-modal data-combining radar, camera, and AIS-to mitigate vehicle motion and wave clutter. Carry out day-to-day work utilizing our custom, next-gen state-of-the-art perception software and modern GPU-accelerated environments in accordance with established safety and performance standards. Monitor for system inefficiencies, sensor degradation, or algorithmic bottlenecks, take action to mitigate risks, and escalate when processing or power thresholds are exceeded. Design and maintain large-scale regression testing and simulation frameworks, utilizing Python to analyze real-world mission telemetry and evaluate algorithm performance. THE QUALIFICATIONS 8+ years of professional experience writing production-grade software (primarily C++) for robotics, autonomous vehicles, or aerospace applications. Deep, full-stack perception domain knowledge spanning sensor drivers, calibration, target tracking, computer vision, and multi-sensor fusion. Proven track record of evaluating academic papers or cutting-edge research and rapidly converting them into optimized, production-ready code. Experience deploying GPU-accelerated algorithms and machine learning models to resource-constrained edge devices (e.g., NVIDIA Jetson/AGX). Strong track record of technical leadership and cross-functional collaboration to solve hard autonomy problems from concept to real-world deployment. BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. The base salary range for this position is shown below. Actual compensation may vary based on skills, experience, and qualifications. This range reflects the base salary for candidates in states requiring pay transparency disclosure. Salary Range $215,000-$270,000 USD To view Saildrone's candidate privacy policy, please visit: BENEFITS At Saildrone, we're building operational capability that matters-and that requires people who can do their best work over the long term. We invest in our team's well-being, financial security, and professional growth so you can focus on delivering real-world impact with confidence and stability. Our comprehensive benefits package is designed to support you and your family while you contribute to a mission with lasting significance. Generous Time Off: Competitive Paid Time Off (PTO) accrual plus a robust annual holiday schedule and paid sick leave ensure you can rest, reset, and sustain performance over time. Comprehensive Health Coverage: Premium, multi-tier Medical, Dental, and Vision plans with significant company contributions for employees and dependents-providing security and peace of mind. Shared Ownership in the Mission: Equity grants are a core part of our compensation, allowing you to participate in the long-term value you help create through meaningful, operational work. Retirement Savings: Access to a 401(k) retirement plan with flexible pre-tax and Roth payroll contribution options supports long-term financial planning. Investment in Your Growth: We support your continuous learning through an annual professional development reimbursement program, empowering you to sharpen your skills and stay ahead of the curve in a rapidly evolving field. Relocation Support: For eligible roles, we offer relocation assistance to help bring the world's best talent to our mission-critical locations. Saildrone is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
About Standard Bots Standard Bot's mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user facing applications and APIs unlock the power of automation for entire new use cases. A relentless focus on simplicity and ease of use brings the revolutionary potential of robotic automation to new users and industries. Notes This role will be required to come into our Glen Cove robotics factory 5 days/week What You'll Do You write the code that proves our software works. SDETs are developers first. You build the test-automation and feature test suites the rest of QA runs on, and you validate features in real time alongside the engineers building them, so bugs are caught before they become tickets Responsibilities Build and own automated tests and feature test suites (end-to-end, integration) Validate features in real time during the sprint, partnering tightly with developers so defects are solved as they appear. Hand off maintainable feature test code to Systems Test Engineers and support them as they extend it. Build SW-based mocks/simulators for hardware (e.g., grippers) so testing isn't gated on physical hardware. Develop tooling and infrastructure that makes the whole QA org faster (test data, reporting). Review designs and PRs for testability and push coverage upstream into development. Skills You'll Bring Quality-First Mindset: Quality is the job, not a gate at the end of it. You value simplicity, reliability, and velocity in equal measure, treat every escaped defect as a process to fix, and would rather prevent a bug than file one. Strong Software Engineering: 3+ years (or strong equivalent) writing production-quality code daily in Python, TypeScript/JavaScript, or similar. Test Automation & Frameworks: Deep experience in automated test infrastructure (Playwright, pytest, Jest) and CI/CD pipelines. Systems Thinking: Comfortable debugging networked/distributed systems. Collaboration: You enjoy pairing with developers and Systems Engineers. Who You Are A quality-first developer, first and foremost. Someone who measures their work by what doesn't break in the field, and who wants to apply strong software skills to robotic quality. No robotics background required. Nice To Have Hardware-in-the-loop or system-level testing Embedded systems or real-time applications ROS2, Docker, or robotics software stacks Compensation and Benefits: The salary range for this role is $110,000 to $150,000, depending on experience. We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.
09/23/2026
Full time
About Standard Bots Standard Bot's mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user facing applications and APIs unlock the power of automation for entire new use cases. A relentless focus on simplicity and ease of use brings the revolutionary potential of robotic automation to new users and industries. Notes This role will be required to come into our Glen Cove robotics factory 5 days/week What You'll Do You write the code that proves our software works. SDETs are developers first. You build the test-automation and feature test suites the rest of QA runs on, and you validate features in real time alongside the engineers building them, so bugs are caught before they become tickets Responsibilities Build and own automated tests and feature test suites (end-to-end, integration) Validate features in real time during the sprint, partnering tightly with developers so defects are solved as they appear. Hand off maintainable feature test code to Systems Test Engineers and support them as they extend it. Build SW-based mocks/simulators for hardware (e.g., grippers) so testing isn't gated on physical hardware. Develop tooling and infrastructure that makes the whole QA org faster (test data, reporting). Review designs and PRs for testability and push coverage upstream into development. Skills You'll Bring Quality-First Mindset: Quality is the job, not a gate at the end of it. You value simplicity, reliability, and velocity in equal measure, treat every escaped defect as a process to fix, and would rather prevent a bug than file one. Strong Software Engineering: 3+ years (or strong equivalent) writing production-quality code daily in Python, TypeScript/JavaScript, or similar. Test Automation & Frameworks: Deep experience in automated test infrastructure (Playwright, pytest, Jest) and CI/CD pipelines. Systems Thinking: Comfortable debugging networked/distributed systems. Collaboration: You enjoy pairing with developers and Systems Engineers. Who You Are A quality-first developer, first and foremost. Someone who measures their work by what doesn't break in the field, and who wants to apply strong software skills to robotic quality. No robotics background required. Nice To Have Hardware-in-the-loop or system-level testing Embedded systems or real-time applications ROS2, Docker, or robotics software stacks Compensation and Benefits: The salary range for this role is $110,000 to $150,000, depending on experience. We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.
Date Posted: 2026-08-17 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 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 Senior 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 10 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 transferable 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 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 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. . click apply for full job details
09/23/2026
Full time
Date Posted: 2026-08-17 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 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 Senior 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 10 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 transferable 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 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 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. . click apply for full job details
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/23/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
Date Posted: 2026-08-18 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 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/21/2026
Full time
Date Posted: 2026-08-18 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 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
09/18/2026
Full time
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
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 Sept. 29, 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.
09/16/2026
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 Sept. 29, 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.
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/11/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
