General Motors
Lead Systems Engineer - GM Defense
Milford, Michigan, United States of America +1 · Hybrid · Full-time · Posted Oct 22, 2026
- Location
- Milford, Michigan, United States of America
Warren, Michigan, United States of America - Experience
- 10+ years of relevant professional experience; 5+ years of systems engineering experience within the defense industry.
- Education
- BSE, BS in Mechanical Engineering, Electrical Engineering, Systems Engineering, or equivalent experience.
- Visa sponsorship
- Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee). GM does not provide immigration-related sponsorship for this role, now or in the future.
About the job
Leads Systems Engineers in defining and integrating vehicle system requirements, interfaces, and verification plans for defense products, ensuring the solution meets mission and program objectives.
What you'll do
- Lead requirements development and roll-down, subsystem interface alignment, and system integration across engineering disciplines.
- Oversee traceability, verification planning, System DFMEA, and technical risk resolution through the development cycle.
- Apply AI-enabled tools to improve requirements work and develop the team’s capability through AI training and adoption.
What they ask for
- BSE or BS in Mechanical Engineering, Electrical Engineering, Systems Engineering, or equivalent experience.
- 10+ years of professional experience in systems engineering, requirements development, product integration, or equivalent technical roles.
- 5+ years of systems engineering experience within the defense industry supporting development, integration, and verification of complex defense systems.
- Demonstrated ability to lead multidisciplinary teams and execute System DFMEA, participate in Fault Tree Analysis, and collaborate on verification and validation planning.
Tools
AI-enabled tools, System DFMEA, Fault Tree Analysis
AI focus
Use AI-enabled tools and methods to improve requirements quality, speed, consistency, and traceability; ensure team AI training and effective adoption.
Model-written summary · the original posting is authoritative