SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Zoox is seeking a Staff Compute & Controls Systems Engineer to lead the definition and validation of computing and control systems for autonomous vehicles. In this role, you will apply systems engineering principles to translate product goals into traceable computing requirements, working across product, hardware, software, production, safety, and business teams.
Key responsibilities include:
- Defining detailed requirements for compute and control modules through cross-functional collaboration
- Analyzing architectural tradeoffs and driving consensus on compute architecture for current and new vehicle platforms
- Gathering and analyzing critical data to define performance metrics and qualify systems for release
- Creating and maintaining precise documentation for system designs and architectural decisions
- Working with software and firmware teams during implementation to ensure requirements are met
- Leading sign-off of compute and autonomy systems with cross-functional stakeholders
- Developing and reviewing Verification and Validation (V&V) plans and analyzing test results
- Conducting System FMEA (SFMEA) and failure mode analysis to identify and mitigate potential failures early in the design cycle
- Supporting Root Cause Analysis (RCA) for safety-related compute platform field failures
- Collaborating to improve diagnostic coverage against single-point and multiple-point latent failures
- Supporting functional safety analyses to ensure compatibility with ISO 26262 objectives
This is a staff-level individual contributor role with significant technical leadership scope, requiring deep expertise in safety-critical systems design and validation for autonomous vehicles.
REQUIREMENTS:
- 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 emphasis on systems-level design, validation, and safety analysis for complex, mission-critical systems with high levels of fail-operational redundancy
- Analytical skills and demonstrated ability to write clear, concise, and verifiable requirements for compute and controls systems
- Strong electrical engineering fundamentals, including knowledge of compute architectures (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
- Knowledge of automotive safety standards: ISO 26262 (Functional Safety) and ISO 21448 (SOTIF)
BONUS QUALIFICATIONS:
- PhD in a related technical field
- Experience with high assurance compute solutions and GPU hardware, plus knowledge of AI models for perception, behavior planning, and trajectory planning
- Experience with sensor interface design and data throughput analysis (bandwidth, latency, timing/synchronization)
- Experience with hazard analysis, functional decomposition, validation, and verification
