Staff Compute & Controls Systems Engineer
Job Location:
Foster, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence robotics and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
As a Staff Compute & Controls Systems Engineer in Advanced Hardware Engineering (AHE) you will be responsible for developing and documenting requirements for compute and control system modules while also driving key functional safety analyses for our compute platforms. You will work across departments at Zoox to build a system-level understanding of how AHE hardware enables critical operational functions and you will lead the Compute Safety Analysis (FMEDA) that ensures those functions fail safely. You will work closely with hardware and software architects and with design safety manufacturing and test engineers to ensure requirements are verified throughout the engineering development process. Your assessments will be critical to meeting milestones as we develop new generations of hardware.
- 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.
- 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.
Required Experience:
Staff IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
