General Motors
Staff Systems Engineer - AV Architecture
$160K–$291K
Sunnyvale, California, United States of America +4 · Remote/Hybrid · Staff · Full-time · Posted Oct 15, 2026
- Location
- Sunnyvale, California, United States of America
Seattle, Washington, United States of America
Austin, Texas, United States of America
Milford, Michigan, United States of America
Warren, Michigan, United States of America - Experience
- Minimum 6+ years of systems engineering experience; also states 6+ years of professional work experience.
- Education
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related technical discipline.
About the job
Leads system architecture and systems engineering for autonomous and advanced driver-assistance vehicle platforms, from requirements and resource planning through integration and performance optimization.
What you'll do
- Define and manage system requirements, architectures, and subsystem interactions for embedded AV/ADAS platforms.
- Allocate and optimize compute, memory, and network resources to meet performance, power, latency, and reliability targets.
- Coordinate cross-functional integration, shape technical roadmaps, mitigate risks, and mentor engineers.
What they ask for
- Bachelor’s degree in a listed or related technical discipline.
- Minimum 6+ years of systems engineering experience; the posting also states 6+ years of professional work experience.
- Track record leading architecture design for complex embedded platforms; deep AV/ADAS knowledge, including embedded computing, sensor integration, and ML-driven approaches.
- Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
Nice to have
- Advanced degree (MS or PhD) in embedded systems, systems engineering, or a related field.
- Embedded Linux or RTOS experience, debugging/profiling/telemetry familiarity, or prior AV/tier 1 automotive experience.
Pay
$160,200.00 to $290,700.00 (base salary)
Tools
CPU, GPU, NPU, RAM, Ethernet, embedded Linux, RTOS
AI focus
System architecture for AV/ADAS, including sensor integration and ML-driven approaches to autonomy and robotics problems.
Model-written summary · the original posting is authoritative