Staff Systems Engineer – ADAS Platform

Stack

Responsibilities

• ▹Lead 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

Requirements

• ▹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, or robotics
• ▹Proven track record of leading system architecture design and resource allocation for complex embedded platforms
• ▹Deep understanding of the 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
• ▹Hands-on experience with edge compute SoC and MCU architectures
• ▹Hands-on experience with system modeling, simulation tools, and requirements management frameworks
• ▹Experience with Ethernet-based automotive networks (e.g. Automotive Ethernet, TSN)
• ▹Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams
• ▹Proven ability to navigate and solve problems characterized by high ambiguity

Nice to have

• ▹Advanced degree (MS or PhD) focused on embedded systems, systems engineering, or related fields
• ▹Hands-on 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
• ▹Familiarity with safety standards such as ISO 26262 and ASPICE

Soft skills

What we offer

• ▹Variety of health and wellbeing benefit programs (medical, dental, vision, HSA, FSA)
• ▹Retirement savings plan
• ▹Sickness and accident benefits
• ▹Life insurance
• ▹Paid vacation and holidays
• ▹Eligibility for a company vehicle evaluation program
• ▹Bonus potential based on company performance, job level, and individual performance
• ▹Possible eligibility for relocation benefits

About the company

General Motors has a long-standing legacy of innovation in advanced driving technologies, exemplified by its industry-leading hands-off driving system, Super Cruise®. Its Autonomous Vehicles (AV) program aims to deliver safe, reliable autonomous and assisted driving experiences across an expanding product portfolio.