Staff Compute Systems Engineer

Join Zoox, a pioneering company in the field of autonomous vehicles. As a Staff Compute & Controls Systems Engineer, you will play a crucial role in developing and documenting requirements for compute and control system modules, driving functional safety analyses, and ensuring requirements are verified throughout the engineering development process. You will collaborate with various teams, analyze trade-offs, and lead the sign-off of compute and autonomy systems. This position offers a range of benefits, including paid parental leave, health insurance, and opportunities for remote work.

• Develop and document requirements for compute and control system modules, driving key functional safety analyses for compute platforms.
• Work across departments to build a system-level understanding of how hardware enables critical operational functions, leading the Compute Safety Analysis (FMEDA).
• Collaborate with hardware and software architects, design, safety, manufacturing, and test engineers to ensure requirements are verified throughout the engineering development process.

• Strong EE fundamentals, including knowledge of compute architectures (e.g., x86, ARM), communication protocols (I2C, UART, SPI, CAN, LIN, USB, GMSL, FPD-Link), high-speed signals, sensing, and power electronics
• Experience with FMEDA or FMEA for safety-critical systems, as well as automotive safety standards such as ISO 26262 (Functional Safety) and ISO 21448 (SOTIF)
• B.S., M.S., or equivalent degree in Aerospace, Automotive, Robotics, Computer Science, Electrical, Mechanical, or Systems Engineering
• 8+ years of relevant, staff-level experience in automotive, ADAS, autonomous vehicles, aerospace, or robotics, with an emphasis on systems-level design, validation, and safety analysis for complex, mission-critical systems with high levels of fail-operational redundancy
• Analytical skills and a passion for writing clear, concise, and verifiable requirements for owned compute and controls systems
• PhD in a related technical field
• Experience working on high assurance compute solutions and GPU hardware, along with knowledge of AI models used for perception, behavior planning, and trajectory planning
• Experience with sensor interface design and data throughput analysis, including bandwidth, latency, and timing/synchronization requirements across the compute architecture
• Experience with hazard analysis, functional decomposition, validation, and verification