General Motors
Staff Systems Engineer – AV Sensing Design
$189K–$291K
Sunnyvale, California, United States of America +3 · Remote/Hybrid · Staff · Full-time · Posted Oct 14, 2026
- Location
- Sunnyvale, California, United States of America
Remote - Washington
Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 10+ years with B.S. with significant sensor related experience.
- Education
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
About the job
Provides technical leadership in designing, analyzing, and integrating autonomous-vehicle sensor suites to meet product needs and production requirements.
What you'll do
- Lead system-level trade studies and model sensor-system performance and AV behavioral impacts.
- Develop sensor performance specifications and assess risks and performance against product needs.
- Coordinate with cross-functional teams on sensing-system integration and document technical decisions and trade-offs.
What they ask for
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
- 10+ years of experience with B.S. with significant sensor related experience.
- Leadership executing cross-functional initiatives and experience developing, defining, using, and integrating multi-modality sensing systems.
- Technical depth in signal processing, link analysis, or ML across a relevant sensing modality; working knowledge of Matlab, Python, or other languages for data analysis.
Nice to have
- Master’s or PhD degree in engineering or a related technical discipline.
- Experience with occupantless self-driving vehicles, SPAD lidars or imaging radar, validation strategy, sensor simulation, or AV behavior modeling.
Pay
189,300 to 290,700 (base salary; currency not stated)
Tools
camera, radar, lidar, Matlab, Python, SPAD lidars, imaging radar, HIL/SIL
AI focus
Works with AI/ML teams and applies ML expertise to autonomous-vehicle sensing systems.
Model-written summary · the original posting is authoritative