Staff Systems Engineer - ADAS Platform
- 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 system architecture, balancing trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet).
- Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets.
- Collaborate cross-functionally with software architecture, 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.
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline. Master’s or PhD preferred.
- Minimum 8+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries.
- Proven track record of leading system architecture design and resource allocation for complex embedded platforms.
- Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and real-time constraints.
- Strong expertise in system performance analysis and optimization, including CPU/GPU/NPU architectures, memory hierarchies, and network bandwidth management.
- Experience with platform systems engineering: inter-board communication, logging frameworks, and device moding
- Experience with edge compute SoC and MCU architectures.
- Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
- Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN).
- Familiarity with safety standards and practices (ISO 26262, ASPICE) 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
- 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.
- Knowledge of AV software stacks, middleware, and sensor data processing pipelines.
- 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.
- Understanding of power management and thermal constraints in embedded platforms.
- Experience contributing to strategic technical roadmaps and platform evolution.
- Compensation: The expected base compensation for this role is: $157,100 - $258,500 Actual base compensation within the identified 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.
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