Staff Systems Engineer - AV Platform

About the role

We are seeking an experienced Staff Systems Engineer to lead systems engineering efforts for our embedded Autonomous Vehicle (AV) and Advanced Driver-Assistance Systems (ADAS) platform. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction.

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 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, 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.

Preferred Qualifications

• 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.

Pay

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. An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• Medical, dental, and vision insurance.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation and holidays.
• Company vehicle evaluation program (upon successful completion of a motor vehicle report review).

Schedule

This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week. Travel requirement is less than 25%. This job may be eligible for relocation benefits.