Staff Compute & Controls Systems Engineer

In this role, you will:

- 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.

Qualifications

- 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).

Bonus Qualifications

- 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.