> Markdown version of [/jobs/ext/4624679-staff-compute-systems-engineer](https://www.wearedevelopers.com/jobs/ext/4624679-staff-compute-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Compute Systems Engineer - **Company:** Zoox - **Location:** Foster City, CA, United States - **Experience:** Expert - **Salary:** $226,000 - $311,000 - **Contract:** Permanent contract - **Skills:** Computing Platforms, Systems Engineering, Communications Protocols, Failure Mode Effects Analysis, Design of User Interfaces, Machine Learning, Software Architecture, Verification and Validation (Software), Universal Asynchronous Receiver/Transmitter, Serial Peripheral Interface, Safety Critical Systems, Information Technology, Low Latency - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_313ff22214d81a1555a9519fc508b0d3 ## About the Role * 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 * 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), * 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 ## Description * Apply compute, controls, and systems engineering principles to define traceable computing requirements from product goals * Engage with product, HW/SW engineering, production, safety, and business teams to author detailed requirements for compute and control modules * Analyze tradeoffs and drive consensus with product, hardware, and software teams to converge on compute architecture for current and new vehicle platforms * Gather and analyze critical data to define metrics, qualify systems for release, and influence system design decisions based on evidence-based insights * Create and maintain clear, precise documentation to support system designs, architectural decisions, and processes while ensuring cross-team alignment * Work with software and firmware teams during implementation to ensure requirements are met * Lead the sign-off of compute and autonomy systems with cross-functional teams * Assist with the development and review of Verification and Validation (V&V) plans, and analyze test results for compute and controls systems * Conduct System FMEA (SFMEA) and failure mode analysis in the context of part-level reliability to identify and mitigate potential failure modes early in the design cycle * Support Root Cause Analysis (RCA) for safety-related compute platform field failures * Collaborate with partner teams to improve diagnostic coverage against single-point and multiple-point latent failures on existing hardware platforms * Support functional safety analyses to ensure the safety concept remains compatible with the core objectives of ISO 26262