Staff Systems Engineer - AV Architecture

About the Role

Key Responsibilities

• Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms.
• Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals.
• Develop and maintain hardware, software, and safety related system architectures.
• Balance trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet) for hardware and.
• Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets.
• Define logical and functional architectures to decompose the system, define data flows and subsystem interactions, and specify how the systems will meet safety and performance requirements.
• Collaborate cross-functionally with autonomy software, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation.
• Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability.
• Identify risks and develop mitigation strategies related to system integration and performance.
• Mentor junior engineers and foster a culture of technical excellence and innovation within the team.
• Your Skills & Abilities (Required Qualifications)
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related technical discipline.
• Minimum 6+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries.
• Proven track record of leading system architecture design for complex embedded platforms.
• Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and ML-driven approaches to solving autonomy, and robotics problems.
• Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
• Familiarity with automotive safety standards and practices is a plus.
• Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams.
• Proven ability to navigate and solve problems characterized by high ambiguity
• Exceptional candidates may also have
• Advanced degree (MS or PhD) with a focus on embedded systems, systems engineering, or related fields.
• Experience with embedded Linux or RTOS environments in automotive or robotics applications.
• Familiarity with system-level debugging, profiling, and telemetry tools.
• Prior experience at a leading AV company or tier 1 automotive supplier.
• Strong leadership skills with experience mentoring engineers and leading technical projects.
• Experience contributing to strategic technical roadmaps and platform evolution.
• 6+ years of professional work experience
• Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
• The salary range for this role is $160,200.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
• Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related technical discipline.
• Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
• Experience with embedded Linux or RTOS environments in automotive or robotics applications.
• Familiarity with system-level debugging, profiling, and telemetry tools.

Preferred Qualifications

• Familiarity with automotive safety standards and practices is a plus.