Job Description Senior Mechanical / Physical Systems Integration Engineer Location: Denver, Colorado Work Arrangement: Full-Time, Onsite (5 Days per Week) Compensation: $155,000-$210,000 Base Salary + Equity + Benefits The Opportunity Search Partner Group is recruiting a Senior Mechanical / Physical Systems Integration Engineer for an innovative automation company developing sophisticated systems that combine robotics, controls, sensors, software, and large-scale physical infrastructure. This role is responsible for ensuring that physical systems are properly designed, integrated, installed, maintained, and supported throughout their lifecycle. You will own the physical integration of equipment into customer environments and work across engineering, operations, suppliers, manufacturing, and field teams to deliver robust, reliable systems. This position requires an engineer who understands how designs translate into real-world installations and who can balance performance, manufacturability, installation, serviceability, reliability, and cost. What You'll Do Physical Systems Integration Lead integration of mechanical and electromechanical systems into customer facilities. Define interfaces between hardware, controls, sensors, wiring, power systems, and installed equipment. Develop installation requirements, operating specifications, and service expectations. Ensure systems are practical to build, install, maintain, and support. Mechanical Design & Product Development Design and improve mechanical assemblies, mounting systems, enclosures, brackets, and related hardware. Drive improvements in manufacturability, cost, reliability, and serviceability. Create and maintain engineering drawings and documentation. Systems Engineering Develop and maintain: System architecture Interface Control Documents (ICDs) Requirements flow-down Tolerance and error budgets Engineering documentation Configuration management processes Supplier & Vendor Leadership Develop technical requirements and specifications for suppliers. Review and approve vendor designs. Define validation and acceptance criteria. Manage engineering changes, deviations, and quality issues. Collaborate with suppliers to improve product performance and reliability. Field Operations & Reliability Partner closely with Operations and field teams. Support installation, commissioning, maintenance, and troubleshooting activities. Drive root-cause analysis and corrective actions. Identify opportunities to improve reliability and serviceability of deployed systems. Required Qualifications Bachelor's degree in Mechanical Engineering or related discipline. 8+ years of experience developing, integrating, and supporting complex physical or electromechanical systems. Strong CAD and mechanical design experience. Experience managing engineering drawings and configuration-controlled documentation. Experience defining system interfaces, requirements, tolerances, and validation criteria. Experience working directly with suppliers and external vendors. Experience supporting products through manufacturing, installation, and field operation. Strong cross-functional communication and technical leadership skills. Ability to work onsite in Denver, Colorado five days per week. Authorization to work in the United States without sponsorship. Preferred Qualifications Industrial automation Material handling systems Warehouse automation Automated parking systems Heavy equipment Aerospace Defense systems Robotics or mechatronics Controls engineering exposure PLC experience Building codes, permitting, or AHJ coordination Product validation and quality systems Why This Role Stands Out This is a highly visible role with broad ownership across engineering, operations, suppliers, installation, and field performance. You'll have the opportunity to influence not only how the product is designed, but how it is built, deployed, maintained, and improved in real-world environments. For engineers who enjoy solving the difficult challenges that exist between design and reality, this role offers exceptional breadth, ownership, and impact. Compensation & Benefits The base salary range is $155,000 to $210,000 , depending on experience, technical depth, and overall qualifications. The total rewards package also includes: Equity participation Comprehensive medical, dental, and vision coverage 401(k) with company matching Generous paid time off Paid holidays Life and disability coverage Additional company benefits
11/08/2026
Full time
Job Description Senior Mechanical / Physical Systems Integration Engineer Location: Denver, Colorado Work Arrangement: Full-Time, Onsite (5 Days per Week) Compensation: $155,000-$210,000 Base Salary + Equity + Benefits The Opportunity Search Partner Group is recruiting a Senior Mechanical / Physical Systems Integration Engineer for an innovative automation company developing sophisticated systems that combine robotics, controls, sensors, software, and large-scale physical infrastructure. This role is responsible for ensuring that physical systems are properly designed, integrated, installed, maintained, and supported throughout their lifecycle. You will own the physical integration of equipment into customer environments and work across engineering, operations, suppliers, manufacturing, and field teams to deliver robust, reliable systems. This position requires an engineer who understands how designs translate into real-world installations and who can balance performance, manufacturability, installation, serviceability, reliability, and cost. What You'll Do Physical Systems Integration Lead integration of mechanical and electromechanical systems into customer facilities. Define interfaces between hardware, controls, sensors, wiring, power systems, and installed equipment. Develop installation requirements, operating specifications, and service expectations. Ensure systems are practical to build, install, maintain, and support. Mechanical Design & Product Development Design and improve mechanical assemblies, mounting systems, enclosures, brackets, and related hardware. Drive improvements in manufacturability, cost, reliability, and serviceability. Create and maintain engineering drawings and documentation. Systems Engineering Develop and maintain: System architecture Interface Control Documents (ICDs) Requirements flow-down Tolerance and error budgets Engineering documentation Configuration management processes Supplier & Vendor Leadership Develop technical requirements and specifications for suppliers. Review and approve vendor designs. Define validation and acceptance criteria. Manage engineering changes, deviations, and quality issues. Collaborate with suppliers to improve product performance and reliability. Field Operations & Reliability Partner closely with Operations and field teams. Support installation, commissioning, maintenance, and troubleshooting activities. Drive root-cause analysis and corrective actions. Identify opportunities to improve reliability and serviceability of deployed systems. Required Qualifications Bachelor's degree in Mechanical Engineering or related discipline. 8+ years of experience developing, integrating, and supporting complex physical or electromechanical systems. Strong CAD and mechanical design experience. Experience managing engineering drawings and configuration-controlled documentation. Experience defining system interfaces, requirements, tolerances, and validation criteria. Experience working directly with suppliers and external vendors. Experience supporting products through manufacturing, installation, and field operation. Strong cross-functional communication and technical leadership skills. Ability to work onsite in Denver, Colorado five days per week. Authorization to work in the United States without sponsorship. Preferred Qualifications Industrial automation Material handling systems Warehouse automation Automated parking systems Heavy equipment Aerospace Defense systems Robotics or mechatronics Controls engineering exposure PLC experience Building codes, permitting, or AHJ coordination Product validation and quality systems Why This Role Stands Out This is a highly visible role with broad ownership across engineering, operations, suppliers, installation, and field performance. You'll have the opportunity to influence not only how the product is designed, but how it is built, deployed, maintained, and improved in real-world environments. For engineers who enjoy solving the difficult challenges that exist between design and reality, this role offers exceptional breadth, ownership, and impact. Compensation & Benefits The base salary range is $155,000 to $210,000 , depending on experience, technical depth, and overall qualifications. The total rewards package also includes: Equity participation Comprehensive medical, dental, and vision coverage 401(k) with company matching Generous paid time off Paid holidays Life and disability coverage Additional company benefits
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Configuration and Change Control Manager is a senior individual contributor responsible for owning configuration discipline for the fielded V-BAT fleet, including aircraft, payloads, software, ground equipment, support equipment, and customer-specific configurations.This role ensures Shield AI maintains an accurate, traceable, and controlled understanding of what hardware, software, payload, and ground system configurations are deployed, which changes apply to which aircraft or customers, and how approved fixes, retrofits, releases, and service actions are controlled through execution.This position is critical to preventing configuration confusion across aircraft serial numbers, hardware revisions, software versions, payload variants, ground equipment configurations, fielded modifications, maintenance releases, and customer-specific baselines. The Configuration and Change Control Manager partners closely with Fleet Support, Sustainment Engineering, Product Engineering, Manufacturing, Quality, Supply Chain, Customer Success, Operations, and Configuration Management to ensure changes are documented, approved, communicated, traceable, and deployed to the correct assets.The role requires strong process discipline, technical fluency, attention to detail, and the ability to drive cross-functional accountability without direct authority. What you'll do: Own and maintain the V-BAT fielded and as-maintained configuration baseline for aircraft, payloads, software, ground equipment, support equipment, and related sustainment assets. Track aircraft serial numbers, hardware revisions, software versions, payload configurations, ground system configurations, fielded modifications, retrofit status, and customer-specific baselines. Manage the change control process for fielded V-BAT systems, ensuring approved changes are controlled, traceable, and applied to the correct aircraft, customers, and configurations. Support Engineering Change Requests, Engineering Change Orders, change impact assessments, release readiness reviews, retrofit plans, and service action planning. Ensure fielded fixes, retrofits, software updates, hardware changes, payload changes, and service actions are tied to the correct serial numbers, configurations, customers, and effectivity ranges. Maintain configuration records for deployed aircraft, spares, payloads, ground equipment, support equipment, and field-modified assets. Partner with Fleet Support, Sustainment Engineering, Product Engineering, Manufacturing, Quality, Supply Chain, Customer Success, Operations, and Configuration Management to control changes across the V-BAT fleet. Support release readiness reviews for software, hardware, payload, ground system, maintenance, and support equipment updates. Ensure changes are documented, approved, communicated, implemented, and traceable from engineering approval through field deployment. Maintain a clear view of which customers, aircraft, payloads, ground systems, spares, and support equipment are affected by each change. Define and maintain change effectivity logic, including serial number applicability, build applicability, customer applicability, configuration applicability, and retrofit applicability. Coordinate with Product Engineering and Sustainment Engineering to understand technical change intent, required implementation steps, and field impact. Coordinate with Fleet Support and Customer Success to ensure field teams understand which updates, inspections, retrofits, or service actions apply to each customer asset. Coordinate with Manufacturing, Quality, and Supply Chain to ensure production records, nonconformance records, part revisions, supplier changes, and field configurations remain aligned. Identify configuration gaps, data inconsistencies, undocumented modifications, incomplete retrofit records, and risks to fielded fleet traceability. Escalate configuration risks that could affect fleet readiness, customer support, release execution, repair decisions, or technical troubleshooting. Support audits, reviews, and investigations requiring accurate configuration history, change history, serial number traceability, or fielded asset applicability. Improve configuration management processes, change control mechanisms, release tracking, field modification tracking, and reporting tools as the sustainment function scales. Provide leadership updates on configuration health, change control status, open risks, affected assets, and field deployment progress. Required qualifications: 4+ years of experience in configuration management, change control, aviation sustainment, hardware/software product support, manufacturing operations, product lifecycle management, engineering operations, or complex hardware sustainment. Demonstrated experience managing configuration baselines, revision control, change effectivity, fielded asset records, engineering change processes, or product release control in a complex technical environment. Strong understanding of configuration baselines, as-built records, as-maintained records, revision control, serial number traceability, effectivity management, and engineering change control. Experience supporting Engineering Change Requests, Engineering Change Orders, release readiness reviews, retrofit planning, service actions, or fielded product updates. Experience tracking or managing hardware revisions, software versions, payload configurations, ground equipment configurations, customer-specific configurations, or deployed asset baselines. Ability to determine which aircraft, systems, customers, configurations, or serial numbers are affected by a given change, issue, release, retrofit, or service action. Experience working across Product Engineering, Sustainment Engineering, Fleet Support, Manufacturing, Quality, Supply Chain, Operations, Customer Success, and Configuration Management teams. Strong technical fluency with bills of material, part revisions, drawings, software releases, hardware changes, configuration records, product structures, or fielded system documentation. Strong process discipline and attention to detail, with the ability to maintain accurate records across multiple systems, stakeholders, and changing priorities. Ability to identify configuration risks, traceability gaps, undocumented changes, incomplete records, and process breakdowns before they affect fleet readiness or customer support. Strong written and verbal communication skills, including the ability to clearly communicate change applicability, implementation status, configuration risks, and decision needs. Ability to operate independently as a senior IC and drive cross-functional accountability without direct authority. Ability to balance configuration rigor with field support urgency, release timelines, customer needs, and operational realities. Ability to possess a Secret DoD security clearance as required by customers. Preferred qualifications: Experience with aviation, defense, unmanned systems, robotics, aerospace manufacturing, complex hardware/software products, or deployed technical systems. Familiarity with PLM, ERP, MES, CMMS, service management systems, requirements systems, software release systems, or configuration management databases. Experience with aircraft serial number tracking, software release management, payload configuration management, ground system configuration, depot repair records, or field modification tracking. Experience with ECO/ECR processes, MRB, FRACAS, RCCA, service bulletins, maintenance releases, retrofit campaigns, or fleet-wide service actions. Familiarity with configuration audits, physical configuration audits, functional configuration audits, controlled baselines, product structures, or digital thread concepts. Experience supporting military, defense, aviation, or high-reliability customer environments where configuration accuracy affects safety, readiness, supportability, or contractual commitments. Experience working in a startup, high-growth, defense technology, aerospace, robotics, or advanced manufacturing environment. CM2, CMII, PMP, Lean Six Sigma, APICS, aviation maintenance, systems engineering, or related certification preferred but not required. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. . click apply for full job details
11/07/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Configuration and Change Control Manager is a senior individual contributor responsible for owning configuration discipline for the fielded V-BAT fleet, including aircraft, payloads, software, ground equipment, support equipment, and customer-specific configurations.This role ensures Shield AI maintains an accurate, traceable, and controlled understanding of what hardware, software, payload, and ground system configurations are deployed, which changes apply to which aircraft or customers, and how approved fixes, retrofits, releases, and service actions are controlled through execution.This position is critical to preventing configuration confusion across aircraft serial numbers, hardware revisions, software versions, payload variants, ground equipment configurations, fielded modifications, maintenance releases, and customer-specific baselines. The Configuration and Change Control Manager partners closely with Fleet Support, Sustainment Engineering, Product Engineering, Manufacturing, Quality, Supply Chain, Customer Success, Operations, and Configuration Management to ensure changes are documented, approved, communicated, traceable, and deployed to the correct assets.The role requires strong process discipline, technical fluency, attention to detail, and the ability to drive cross-functional accountability without direct authority. What you'll do: Own and maintain the V-BAT fielded and as-maintained configuration baseline for aircraft, payloads, software, ground equipment, support equipment, and related sustainment assets. Track aircraft serial numbers, hardware revisions, software versions, payload configurations, ground system configurations, fielded modifications, retrofit status, and customer-specific baselines. Manage the change control process for fielded V-BAT systems, ensuring approved changes are controlled, traceable, and applied to the correct aircraft, customers, and configurations. Support Engineering Change Requests, Engineering Change Orders, change impact assessments, release readiness reviews, retrofit plans, and service action planning. Ensure fielded fixes, retrofits, software updates, hardware changes, payload changes, and service actions are tied to the correct serial numbers, configurations, customers, and effectivity ranges. Maintain configuration records for deployed aircraft, spares, payloads, ground equipment, support equipment, and field-modified assets. Partner with Fleet Support, Sustainment Engineering, Product Engineering, Manufacturing, Quality, Supply Chain, Customer Success, Operations, and Configuration Management to control changes across the V-BAT fleet. Support release readiness reviews for software, hardware, payload, ground system, maintenance, and support equipment updates. Ensure changes are documented, approved, communicated, implemented, and traceable from engineering approval through field deployment. Maintain a clear view of which customers, aircraft, payloads, ground systems, spares, and support equipment are affected by each change. Define and maintain change effectivity logic, including serial number applicability, build applicability, customer applicability, configuration applicability, and retrofit applicability. Coordinate with Product Engineering and Sustainment Engineering to understand technical change intent, required implementation steps, and field impact. Coordinate with Fleet Support and Customer Success to ensure field teams understand which updates, inspections, retrofits, or service actions apply to each customer asset. Coordinate with Manufacturing, Quality, and Supply Chain to ensure production records, nonconformance records, part revisions, supplier changes, and field configurations remain aligned. Identify configuration gaps, data inconsistencies, undocumented modifications, incomplete retrofit records, and risks to fielded fleet traceability. Escalate configuration risks that could affect fleet readiness, customer support, release execution, repair decisions, or technical troubleshooting. Support audits, reviews, and investigations requiring accurate configuration history, change history, serial number traceability, or fielded asset applicability. Improve configuration management processes, change control mechanisms, release tracking, field modification tracking, and reporting tools as the sustainment function scales. Provide leadership updates on configuration health, change control status, open risks, affected assets, and field deployment progress. Required qualifications: 4+ years of experience in configuration management, change control, aviation sustainment, hardware/software product support, manufacturing operations, product lifecycle management, engineering operations, or complex hardware sustainment. Demonstrated experience managing configuration baselines, revision control, change effectivity, fielded asset records, engineering change processes, or product release control in a complex technical environment. Strong understanding of configuration baselines, as-built records, as-maintained records, revision control, serial number traceability, effectivity management, and engineering change control. Experience supporting Engineering Change Requests, Engineering Change Orders, release readiness reviews, retrofit planning, service actions, or fielded product updates. Experience tracking or managing hardware revisions, software versions, payload configurations, ground equipment configurations, customer-specific configurations, or deployed asset baselines. Ability to determine which aircraft, systems, customers, configurations, or serial numbers are affected by a given change, issue, release, retrofit, or service action. Experience working across Product Engineering, Sustainment Engineering, Fleet Support, Manufacturing, Quality, Supply Chain, Operations, Customer Success, and Configuration Management teams. Strong technical fluency with bills of material, part revisions, drawings, software releases, hardware changes, configuration records, product structures, or fielded system documentation. Strong process discipline and attention to detail, with the ability to maintain accurate records across multiple systems, stakeholders, and changing priorities. Ability to identify configuration risks, traceability gaps, undocumented changes, incomplete records, and process breakdowns before they affect fleet readiness or customer support. Strong written and verbal communication skills, including the ability to clearly communicate change applicability, implementation status, configuration risks, and decision needs. Ability to operate independently as a senior IC and drive cross-functional accountability without direct authority. Ability to balance configuration rigor with field support urgency, release timelines, customer needs, and operational realities. Ability to possess a Secret DoD security clearance as required by customers. Preferred qualifications: Experience with aviation, defense, unmanned systems, robotics, aerospace manufacturing, complex hardware/software products, or deployed technical systems. Familiarity with PLM, ERP, MES, CMMS, service management systems, requirements systems, software release systems, or configuration management databases. Experience with aircraft serial number tracking, software release management, payload configuration management, ground system configuration, depot repair records, or field modification tracking. Experience with ECO/ECR processes, MRB, FRACAS, RCCA, service bulletins, maintenance releases, retrofit campaigns, or fleet-wide service actions. Familiarity with configuration audits, physical configuration audits, functional configuration audits, controlled baselines, product structures, or digital thread concepts. Experience supporting military, defense, aviation, or high-reliability customer environments where configuration accuracy affects safety, readiness, supportability, or contractual commitments. Experience working in a startup, high-growth, defense technology, aerospace, robotics, or advanced manufacturing environment. CM2, CMII, PMP, Lean Six Sigma, APICS, aviation maintenance, systems engineering, or related certification preferred but not required. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. . click apply for full job details
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: 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 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 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 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 . click apply for full job details
11/07/2026
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: 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 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 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 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 . click apply for full job details
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
11/07/2026
Full time
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
Date Posted: 2026-10-22 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. 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 reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/07/2026
Full time
Date Posted: 2026-10-22 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. 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 reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
11/06/2026
Full time
We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Network Architect to define and evolve the secure, scalable, and resilient network architecture supporting our engineering, manufacturing, autonomy development, and enterprise operations environments. As part of the Cloud & Infrastructure team within Enterprise Operations, this highly technical individual contributor will establish network strategy, standards, and reference architectures across Shield AI's offices, engineering labs, manufacturing facilities, data centers, public cloud environments, and international locations. You will remain hands-on for first-of-kind, complex, and high-risk deployments while partnering closely with Engineering, Manufacturing, Infrastructure, Cloud Platform, Site Infrastructure, Facilities, and Cybersecurity teams. What you'll do: Enterprise Network Architecture Define and maintain Shield AI's enterprise network architecture, technical strategy, standards, roadmaps, and reference designs. Architect scalable LAN, WAN, wireless, internet edge, data-center, VPN, SASE, NAC, and network security solutions across a globally distributed environment. Develop high-level and low-level designs for new offices, engineering labs, manufacturing facilities, data centers, cloud environments, acquisitions, and site integrations. Design resilient routing and connectivity architectures using BGP, OSPF, IPsec, private circuits, cloud interconnects, diverse internet services, and related technologies. Establish standards for segmentation, IP addressing, naming, routing, high availability, quality of service, observability, capacity, and lifecycle management. Lead architecture reviews, technology evaluations, proofs of concept, and design decisions for strategic network initiatives. Manufacturing IoT and Hybrid Connectivity Develop secure network architectures for manufacturing, IoT, industrial, engineering, lab, and operational technology environments. Define segmentation and access patterns for manufacturing equipment, sensors, robotics, test systems, building systems, cameras, and other connected devices. Partner with Manufacturing, Engineering, Facilities, and Cybersecurity teams to integrate operational environments without introducing unacceptable risk to enterprise or controlled networks. Design hybrid connectivity across AWS, Azure, data centers, colocation facilities, and on-premises environments, including cloud transit, private connectivity, routing integration, secure ingress and egress, and shared services. Support the integration of acquired companies, legacy networks, international locations, and newly constructed facilities into enterprise standards. Technical Leadership and Delivery Serve as the senior technical authority for complex network designs, escalations, performance issues, and resiliency improvements. Lead and actively participate in first-of-kind, complex, or high-risk deployments, migrations, cutovers, validation testing, incident response, and advanced troubleshooting. Translate architecture into implementation plans, reusable configurations, operational standards, and clear handoffs for Network Engineering and Network Security teams. Advance network automation and infrastructure-as-code practices using Terraform, Ansible, Python, APIs, and configuration-management platforms. Produce and maintain architecture diagrams, design documents, decision records, implementation standards, and operational documentation. Required qualifications: 10+ years of progressive experience in enterprise network engineering and architecture across complex, multi-site environments. Demonstrated experience leading network architecture from requirements and design through implementation, validation, and operational handoff. Deep expertise in enterprise routing, switching, wireless, WAN, internet edge, VPN, network segmentation, and high-availability design. Advanced knowledge of BGP, OSPF, VLANs, VRFs, QoS, IPsec, DNS, DHCP, NAT, route redistribution, and resilient traffic-engineering patterns. Experience architecting networks across offices, engineering facilities, manufacturing environments, data centers, colocation facilities, and public cloud environments. Strong experience with firewall architecture, zero-trust principles, network access control, secure remote access, and layered segmentation. Experience with AWS and Azure networking, including transit architectures, private connectivity, cloud routing, and network security controls. Ability to create clear architecture diagrams, reference designs, technical standards, implementation guidance, and decision documentation. Experience evaluating network technologies, vendors, carrier services, and professional-services designs. Demonstrated ability to lead complex technical initiatives, mentor engineers, and influence outcomes across teams without direct authority. Strong written and verbal communication skills, including the ability to explain architecture decisions, alternatives, and risks to technical and non-technical audiences. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience. Ability to travel periodically and support planned after-hours implementations or critical incidents. Preferred qualifications: Demonstrated experience designing secure IoT, Industrial IoT, operational technology, or manufacturing networks, including segmentation of production equipment, sensors, robotics, test systems, building systems, and other connected devices. Experience applying manufacturing or OT security architecture practices such as zone-and-conduit segmentation, the Purdue model, or ISA/IEC 62443 principles. Hands-on experience with Palo Alto Networks, Panorama, Prisma Access, Juniper, Mist, Aruba, ClearPass, or comparable enterprise platforms. Experience designing high-density or industrial wireless networks for manufacturing, warehouse, lab, or engineering environments. Experience supporting aerospace, defense, advanced manufacturing, government contracting, or another regulated environment. Knowledge of CMMC, NIST 800-171, ITAR, controlled unclassified information, and network designs supporting regulated or isolated environments. Experience integrating acquisitions, legacy environments, or international locations into global enterprise standards. Experience with network automation, source-controlled configuration, validation testing, and infrastructure-as-code. Relevant advanced certifications such as CCNP, CCIE, JNCIP, JNCIE, PCNSE, AWS Advanced Networking, or equivalent experience. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/06/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a Network Architect to define and evolve the secure, scalable, and resilient network architecture supporting our engineering, manufacturing, autonomy development, and enterprise operations environments. As part of the Cloud & Infrastructure team within Enterprise Operations, this highly technical individual contributor will establish network strategy, standards, and reference architectures across Shield AI's offices, engineering labs, manufacturing facilities, data centers, public cloud environments, and international locations. You will remain hands-on for first-of-kind, complex, and high-risk deployments while partnering closely with Engineering, Manufacturing, Infrastructure, Cloud Platform, Site Infrastructure, Facilities, and Cybersecurity teams. What you'll do: Enterprise Network Architecture Define and maintain Shield AI's enterprise network architecture, technical strategy, standards, roadmaps, and reference designs. Architect scalable LAN, WAN, wireless, internet edge, data-center, VPN, SASE, NAC, and network security solutions across a globally distributed environment. Develop high-level and low-level designs for new offices, engineering labs, manufacturing facilities, data centers, cloud environments, acquisitions, and site integrations. Design resilient routing and connectivity architectures using BGP, OSPF, IPsec, private circuits, cloud interconnects, diverse internet services, and related technologies. Establish standards for segmentation, IP addressing, naming, routing, high availability, quality of service, observability, capacity, and lifecycle management. Lead architecture reviews, technology evaluations, proofs of concept, and design decisions for strategic network initiatives. Manufacturing IoT and Hybrid Connectivity Develop secure network architectures for manufacturing, IoT, industrial, engineering, lab, and operational technology environments. Define segmentation and access patterns for manufacturing equipment, sensors, robotics, test systems, building systems, cameras, and other connected devices. Partner with Manufacturing, Engineering, Facilities, and Cybersecurity teams to integrate operational environments without introducing unacceptable risk to enterprise or controlled networks. Design hybrid connectivity across AWS, Azure, data centers, colocation facilities, and on-premises environments, including cloud transit, private connectivity, routing integration, secure ingress and egress, and shared services. Support the integration of acquired companies, legacy networks, international locations, and newly constructed facilities into enterprise standards. Technical Leadership and Delivery Serve as the senior technical authority for complex network designs, escalations, performance issues, and resiliency improvements. Lead and actively participate in first-of-kind, complex, or high-risk deployments, migrations, cutovers, validation testing, incident response, and advanced troubleshooting. Translate architecture into implementation plans, reusable configurations, operational standards, and clear handoffs for Network Engineering and Network Security teams. Advance network automation and infrastructure-as-code practices using Terraform, Ansible, Python, APIs, and configuration-management platforms. Produce and maintain architecture diagrams, design documents, decision records, implementation standards, and operational documentation. Required qualifications: 10+ years of progressive experience in enterprise network engineering and architecture across complex, multi-site environments. Demonstrated experience leading network architecture from requirements and design through implementation, validation, and operational handoff. Deep expertise in enterprise routing, switching, wireless, WAN, internet edge, VPN, network segmentation, and high-availability design. Advanced knowledge of BGP, OSPF, VLANs, VRFs, QoS, IPsec, DNS, DHCP, NAT, route redistribution, and resilient traffic-engineering patterns. Experience architecting networks across offices, engineering facilities, manufacturing environments, data centers, colocation facilities, and public cloud environments. Strong experience with firewall architecture, zero-trust principles, network access control, secure remote access, and layered segmentation. Experience with AWS and Azure networking, including transit architectures, private connectivity, cloud routing, and network security controls. Ability to create clear architecture diagrams, reference designs, technical standards, implementation guidance, and decision documentation. Experience evaluating network technologies, vendors, carrier services, and professional-services designs. Demonstrated ability to lead complex technical initiatives, mentor engineers, and influence outcomes across teams without direct authority. Strong written and verbal communication skills, including the ability to explain architecture decisions, alternatives, and risks to technical and non-technical audiences. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience. Ability to travel periodically and support planned after-hours implementations or critical incidents. Preferred qualifications: Demonstrated experience designing secure IoT, Industrial IoT, operational technology, or manufacturing networks, including segmentation of production equipment, sensors, robotics, test systems, building systems, and other connected devices. Experience applying manufacturing or OT security architecture practices such as zone-and-conduit segmentation, the Purdue model, or ISA/IEC 62443 principles. Hands-on experience with Palo Alto Networks, Panorama, Prisma Access, Juniper, Mist, Aruba, ClearPass, or comparable enterprise platforms. Experience designing high-density or industrial wireless networks for manufacturing, warehouse, lab, or engineering environments. Experience supporting aerospace, defense, advanced manufacturing, government contracting, or another regulated environment. Knowledge of CMMC, NIST 800-171, ITAR, controlled unclassified information, and network designs supporting regulated or isolated environments. Experience integrating acquisitions, legacy environments, or international locations into global enterprise standards. Experience with network automation, source-controlled configuration, validation testing, and infrastructure-as-code. Relevant advanced certifications such as CCNP, CCIE, JNCIP, JNCIE, PCNSE, AWS Advanced Networking, or equivalent experience. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Date Posted: 2026-10-22 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Our Senior Embedded Software Engineer is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": -tucson,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/06/2026
Full time
Job Description Date Posted: 2026-10-22 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Our Senior Embedded Software Engineer is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferrable final Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": -tucson,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 95,500 USD - 181,700 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
11/06/2026
Full time
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
11/06/2026
Full time
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
Job Description Job Description About Gather AI Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the role We're hiring a Staff Hardware Systems Engineer to own requirements, integration and verification and validation (V&V) for our warehouse robotics hardware: autonomous inventory drones, forklift-mounted vision systems, and the charging and battery systems that support them. You'll make sure every Gather hardware product is built from testable requirements, de-risked one technology block at a time, integrated cleanly with firmware, software and autonomy, and released on objective evidence that holds up in real warehouses. This is a hands-on individual-contributor role on a small, senior hardware team in Pittsburgh. You'll set up the framework and do the work yourself: scout and test new technologies, write the requirements, build the test rigs, run the tests and analyze the data. What you'll do Own the requirements and V&V framework for our hardware products, from system requirements down to subsystem, technology-block and interface requirements, with traceability to verification evidence. Scout, characterize and compare candidate technologies (cameras, illumination, propulsion, wireless charging, batteries and more), and recommend which to take into the next product. Own integration of electrical, firmware, software and autonomy into the hardware product design, including bring-up, integration testing and root cause of interface failures. Write and run V&V plans: test methods, rigs, fixtures and instrumentation; statistically based sampling plans; design of experiments; clear conclusions with stated uncertainty. Own environmental and compliance testing (shock and vibration, thermal and condensation, ingress, EMC/FCC), working with external test labs. Own technical budgets (power, thermal, mass, EMC/RF), lead system-level hazard analysis, and feed DFMEA. Deliver decision-ready evidence for design reviews, design freeze and release, and assess the verification impact of engineering changes. Close the loop from field failures back to requirements and tests, and shape production test strategy with our contract manufacturer. What success looks like 30 days: Own verification for our next-generation forklift vision system and break its system requirements down to hardware level. 60 days: Define requirements and the V&V plan for a new charging system, and get the requirements cascade and verification matrix in use on a live product line. 90 days: Requirements cascade and verification matrix in use across active product lines; test plans for current technology blocks; a reusable library of environmental test profiles. 1 year: V&V evidence built into every hardware stage gate, next-generation products released against that standard, and a production test coverage proposal handed to manufacturing. What you bring You've owned requirements through V&V on an electromechanical product taken from concept to production: decomposing product requirements to subsystem level with traceability, and writing and running V&V plans with objective, measurable acceptance criteria. You've integrated hardware with firmware and software in a robotic, embedded, autonomous or complex electromechanical system, including bring-up and root-causing interface failures. You use statistics to make engineering decisions: design of experiments, data analysis and statistically based sampling plans (confidence/reliability, AQL or similar). You build the test, not just the plan: test methods, rigs, fixtures and data acquisition, including measurement system analysis (e.g., Gauge R&R). BS in an engineering field with 10+ years of relevant experience, or an MS (preferred) with 8+ years. Nice to have Environmental and compliance qualification with external labs: shock and vibration, thermal cycling and condensation, IP ingress, EMC/FCC. Vision and power technology: camera characterization and illumination, lithium batteries and charging systems, and trade studies to choose between them. Regulated product development (medical, aerospace, automotive), with the judgment to scale that rigor to a startup. Experience with drones/UAVs, material handling equipment or robotics. Location Pittsburgh, PA. On-site 4-5 days a week (this is a lab-heavy, hands-on role), with about 10% travel to test labs, our contract manufacturer and customer warehouses.
11/06/2026
Full time
Job Description Job Description About Gather AI Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the role We're hiring a Staff Hardware Systems Engineer to own requirements, integration and verification and validation (V&V) for our warehouse robotics hardware: autonomous inventory drones, forklift-mounted vision systems, and the charging and battery systems that support them. You'll make sure every Gather hardware product is built from testable requirements, de-risked one technology block at a time, integrated cleanly with firmware, software and autonomy, and released on objective evidence that holds up in real warehouses. This is a hands-on individual-contributor role on a small, senior hardware team in Pittsburgh. You'll set up the framework and do the work yourself: scout and test new technologies, write the requirements, build the test rigs, run the tests and analyze the data. What you'll do Own the requirements and V&V framework for our hardware products, from system requirements down to subsystem, technology-block and interface requirements, with traceability to verification evidence. Scout, characterize and compare candidate technologies (cameras, illumination, propulsion, wireless charging, batteries and more), and recommend which to take into the next product. Own integration of electrical, firmware, software and autonomy into the hardware product design, including bring-up, integration testing and root cause of interface failures. Write and run V&V plans: test methods, rigs, fixtures and instrumentation; statistically based sampling plans; design of experiments; clear conclusions with stated uncertainty. Own environmental and compliance testing (shock and vibration, thermal and condensation, ingress, EMC/FCC), working with external test labs. Own technical budgets (power, thermal, mass, EMC/RF), lead system-level hazard analysis, and feed DFMEA. Deliver decision-ready evidence for design reviews, design freeze and release, and assess the verification impact of engineering changes. Close the loop from field failures back to requirements and tests, and shape production test strategy with our contract manufacturer. What success looks like 30 days: Own verification for our next-generation forklift vision system and break its system requirements down to hardware level. 60 days: Define requirements and the V&V plan for a new charging system, and get the requirements cascade and verification matrix in use on a live product line. 90 days: Requirements cascade and verification matrix in use across active product lines; test plans for current technology blocks; a reusable library of environmental test profiles. 1 year: V&V evidence built into every hardware stage gate, next-generation products released against that standard, and a production test coverage proposal handed to manufacturing. What you bring You've owned requirements through V&V on an electromechanical product taken from concept to production: decomposing product requirements to subsystem level with traceability, and writing and running V&V plans with objective, measurable acceptance criteria. You've integrated hardware with firmware and software in a robotic, embedded, autonomous or complex electromechanical system, including bring-up and root-causing interface failures. You use statistics to make engineering decisions: design of experiments, data analysis and statistically based sampling plans (confidence/reliability, AQL or similar). You build the test, not just the plan: test methods, rigs, fixtures and data acquisition, including measurement system analysis (e.g., Gauge R&R). BS in an engineering field with 10+ years of relevant experience, or an MS (preferred) with 8+ years. Nice to have Environmental and compliance qualification with external labs: shock and vibration, thermal cycling and condensation, IP ingress, EMC/FCC. Vision and power technology: camera characterization and illumination, lithium batteries and charging systems, and trade studies to choose between them. Regulated product development (medical, aerospace, automotive), with the judgment to scale that rigor to a startup. Experience with drones/UAVs, material handling equipment or robotics. Location Pittsburgh, PA. On-site 4-5 days a week (this is a lab-heavy, hands-on role), with about 10% travel to test labs, our contract manufacturer and customer warehouses.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
11/06/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
11/06/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
11/06/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
11/06/2026
Full time
Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
Job Description Job Description About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/06/2026
Full time
Job Description Job Description About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Senior Electrical Engineer, Robotics About you and this role Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Senior Electrical Engineer at Robust AI, you will join a small, fast-paced team designing and deploying the next generation of warehouse robotic systems. You'll own schematic capture and board layout for custom PCBs, get your hands dirty debugging and bringing up hardware on our current robot fleet, and help inform the design of our next-generation robot. You thrive in ambiguity, move quickly, and are comfortable wearing multiple hats - the kind of engineer who's happiest when a scope, a soldering iron, and a stack of datasheets are all within arm's reach. You're excited about seeing robots deployed at scale, and you can pivot effectively as priorities shift in an early-stage startup environment. Main responsibilities Design, prototype, and iterate custom PCBs for the robot, from schematic capture through board layout Hands-on bring-up, debugging, and testing of electrical hardware on our current robot fleet Collaborate with the team to formulate electrical architecture and inform next-generation robot design Generate design documentation and lead design reviews Conduct bench modifications and rapid hardware prototyping to unblock development Engage with cross-functional engineering team members (mechanical, firmware, software) to fulfill and enhance performance requirements while optimizing hardware/firmware interfaces Support firmware integration, testing, and debugging alongside the firmware team as needed Work directly with fab houses and contract manufacturers to take boards from prototype through production Minimum qualifications Bachelor's degree in electrical engineering, computer engineering, or equivalent 5+ years of experience in electrical/hardware engineering Strong electrical and embedded systems fundamentals Experience with schematic capture and PCB layout (Altium preferred) Proven track record of releasing boards to production, with designs that meet EMC compliance requirements Hands-on experience debugging complex electromechanical hardware with tools such as scopes, logic analyzers, and DMMs Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc. Comfortable working in a fast-paced, early-stage startup environment and able to pivot effectively as priorities change Strong written and verbal communication skills, with the ability to communicate complex technical concepts clearly to both technical and cross-functional audiences Preferred qualifications (bonus) Firmware development in C Python scripting and comfort working in Linux environments Proficiency with microcontrollers, preferably the STM32 family Familiarity with BLDC motors and motor control Background in robotic or mechatronic systems What we offer Base pay between $160,000 and $200,000, depending on your skills, qualifications, and experience Stock options and huge potential for growth Strong startup (and fun) culture Medical, dental, and vision coverage Flexible vacation and sick leave practices Paid parental leave Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/06/2026
Full time
Job Description Job Description Senior Electrical Engineer, Robotics About you and this role Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Senior Electrical Engineer at Robust AI, you will join a small, fast-paced team designing and deploying the next generation of warehouse robotic systems. You'll own schematic capture and board layout for custom PCBs, get your hands dirty debugging and bringing up hardware on our current robot fleet, and help inform the design of our next-generation robot. You thrive in ambiguity, move quickly, and are comfortable wearing multiple hats - the kind of engineer who's happiest when a scope, a soldering iron, and a stack of datasheets are all within arm's reach. You're excited about seeing robots deployed at scale, and you can pivot effectively as priorities shift in an early-stage startup environment. Main responsibilities Design, prototype, and iterate custom PCBs for the robot, from schematic capture through board layout Hands-on bring-up, debugging, and testing of electrical hardware on our current robot fleet Collaborate with the team to formulate electrical architecture and inform next-generation robot design Generate design documentation and lead design reviews Conduct bench modifications and rapid hardware prototyping to unblock development Engage with cross-functional engineering team members (mechanical, firmware, software) to fulfill and enhance performance requirements while optimizing hardware/firmware interfaces Support firmware integration, testing, and debugging alongside the firmware team as needed Work directly with fab houses and contract manufacturers to take boards from prototype through production Minimum qualifications Bachelor's degree in electrical engineering, computer engineering, or equivalent 5+ years of experience in electrical/hardware engineering Strong electrical and embedded systems fundamentals Experience with schematic capture and PCB layout (Altium preferred) Proven track record of releasing boards to production, with designs that meet EMC compliance requirements Hands-on experience debugging complex electromechanical hardware with tools such as scopes, logic analyzers, and DMMs Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc. Comfortable working in a fast-paced, early-stage startup environment and able to pivot effectively as priorities change Strong written and verbal communication skills, with the ability to communicate complex technical concepts clearly to both technical and cross-functional audiences Preferred qualifications (bonus) Firmware development in C Python scripting and comfort working in Linux environments Proficiency with microcontrollers, preferably the STM32 family Familiarity with BLDC motors and motor control Background in robotic or mechatronic systems What we offer Base pay between $160,000 and $200,000, depending on your skills, qualifications, and experience Stock options and huge potential for growth Strong startup (and fun) culture Medical, dental, and vision coverage Flexible vacation and sick leave practices Paid parental leave Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K
11/06/2026
Full time
Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
11/06/2026
Full time
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
Job Description The pay range is $73,000.00 - $132,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role in Supply Chain means being on the very front lines of getting product to the guest as fast as possible-a critical differentiator and one of the most essential functions within Logistics. Whether it's through focusing on regional or upstream distribution centers or import warehouses, you'll have a chance to positively impact thousands of team members and Target guests worldwide. As a Senior Systems Engineer, you will be a key technical subject matter expert that ensures high equipment availability and optimizes system performance. You will use preventive and predictive maintenance processes, rapidly troubleshoot equipment breakdowns, and quickly restore equipment to service in support of successful operation of the supply chain facility. You will work with other Target engineers and operational partners to optimize the performance and flow of the material handling equipment and will lead building automation, continuous improvement, and new installation initiatives. You will serve as an escalated support resource during downtime events, ensuring proper processes and training procedures are implemented as part of root cause analysis, and you will proactively monitor the overall health of the building's material handling equipment. You will serve as an expert who understands material flow optimization, system controls logic, and facilitates and trains effective troubleshooting techniques. As the highly experienced subject matter expert, you will proactively monitor and maintain the buildings systems, maintaining expertise around all electrical, mechanical and control system communication aspects of Material Handling Equipment (MHE) on site, including conveyor systems, sortation, robotics, and Automated Storage and Retrieval Systems (AS/RS). You will use diagnostic software and tools to collect and analyze data to identify trends and recommend improvements to the building automation. You will conduct technical interviews for internal and external technician candidates, evaluate technical skills and abilities, and train and coach internal technicians. You will support training plan development and progress follow up. It is expected that you maintain thorough knowledge and facilitate site training on appropriate safety procedures and use Personal Protective Equipment (PPE) while maintaining equipment (Lock Out/Tag Out, Arc Flash, etc.), and ensure a safe work environment by eliminating potential equipment safety hazards. You should be a self-starter, possessing the ability to inspect, maintain, troubleshoot, repair, train, and coach across various resources and scenarios. You will need to manage multiple tasks simultaneously, and work well under pressure. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: • Two or four-year Degree in Electrical or Controls Engineering or equivalent degree / experience • Available to work all days and shifts (24 hours a day, 7 days a week operation, including holidays) • Industrial electrical hands-on experience and troubleshooting, including 480V 3-phase, 110 VAC, and 24VDC systems • Experience with installing and maintaining many types of software and hardware • Strong organization and problem solving skills with a drive for results and the ability to handle multiple tasks and teams Extensive experience in the following areas: • Automated conveyor systems and controls • Work order management • Preventive/predictive maintenance procedures • Blueprint and schematic reading • Industrial Electrical • HMI interfaces and programming • Industrial Controls • Industrial Electronics • Programmable Logic Control (PLC) programs • Server based controls • National Electrical Code (NEC) Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to . Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
11/06/2026
Full time
Job Description The pay range is $73,000.00 - $132,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role in Supply Chain means being on the very front lines of getting product to the guest as fast as possible-a critical differentiator and one of the most essential functions within Logistics. Whether it's through focusing on regional or upstream distribution centers or import warehouses, you'll have a chance to positively impact thousands of team members and Target guests worldwide. As a Senior Systems Engineer, you will be a key technical subject matter expert that ensures high equipment availability and optimizes system performance. You will use preventive and predictive maintenance processes, rapidly troubleshoot equipment breakdowns, and quickly restore equipment to service in support of successful operation of the supply chain facility. You will work with other Target engineers and operational partners to optimize the performance and flow of the material handling equipment and will lead building automation, continuous improvement, and new installation initiatives. You will serve as an escalated support resource during downtime events, ensuring proper processes and training procedures are implemented as part of root cause analysis, and you will proactively monitor the overall health of the building's material handling equipment. You will serve as an expert who understands material flow optimization, system controls logic, and facilitates and trains effective troubleshooting techniques. As the highly experienced subject matter expert, you will proactively monitor and maintain the buildings systems, maintaining expertise around all electrical, mechanical and control system communication aspects of Material Handling Equipment (MHE) on site, including conveyor systems, sortation, robotics, and Automated Storage and Retrieval Systems (AS/RS). You will use diagnostic software and tools to collect and analyze data to identify trends and recommend improvements to the building automation. You will conduct technical interviews for internal and external technician candidates, evaluate technical skills and abilities, and train and coach internal technicians. You will support training plan development and progress follow up. It is expected that you maintain thorough knowledge and facilitate site training on appropriate safety procedures and use Personal Protective Equipment (PPE) while maintaining equipment (Lock Out/Tag Out, Arc Flash, etc.), and ensure a safe work environment by eliminating potential equipment safety hazards. You should be a self-starter, possessing the ability to inspect, maintain, troubleshoot, repair, train, and coach across various resources and scenarios. You will need to manage multiple tasks simultaneously, and work well under pressure. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: • Two or four-year Degree in Electrical or Controls Engineering or equivalent degree / experience • Available to work all days and shifts (24 hours a day, 7 days a week operation, including holidays) • Industrial electrical hands-on experience and troubleshooting, including 480V 3-phase, 110 VAC, and 24VDC systems • Experience with installing and maintaining many types of software and hardware • Strong organization and problem solving skills with a drive for results and the ability to handle multiple tasks and teams Extensive experience in the following areas: • Automated conveyor systems and controls • Work order management • Preventive/predictive maintenance procedures • Blueprint and schematic reading • Industrial Electrical • HMI interfaces and programming • Industrial Controls • Industrial Electronics • Programmable Logic Control (PLC) programs • Server based controls • National Electrical Code (NEC) Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to . Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
