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Zoox is seeking a Senior Electrical Integration Engineer to own the diagnostic strategy and deployment for autonomous vehicle fleets. This is a high-impact role spanning the full lifecycle of vehicle diagnostics—from requirement definition and design through validation, deployment, and continuous improvement in the operating fleet.
Key Responsibilities:
You will own diagnostic deployment for the current service vehicle fleet and successor platforms, working across system, firmware, and software teams to foster design for diagnostics. You'll drive measurable improvements in diagnostic quality by reducing time-to-diagnose and enhancing fault isolation accuracy so that triggered faults point to the correct component and repair activity.
You will close end-to-end diagnostic gaps by owning the diagnostic requirements set, maintaining traceability between requirements, implementation, test coverage, and in-fleet performance. You'll lead design and test reviews to catch gaps early and ensure comprehensive V&V coverage.
In partnership with service engineering and fleet operations, you will define and deploy service actions tied to diagnostic outcomes, ensuring each fault maps to an actionable, verified repair procedure and confirming effectiveness using fleet data.
You will identify and develop prognostic features that predict component and system issues ahead of failure, translating fleet telemetry into monitoring strategies that reduce unplanned downtime. You'll report diagnostic health and gap closure status to cross-functional and program leadership.
Finally, you will develop metrics to measure diagnostic success and use them to identify system and process gaps, driving continuous improvement across the diagnostic lifecycle.
Requirements:
- Bachelor's or Master's of Science in Electrical, Mechanical, Systems, or Computer Engineering
- 10+ years of experience in vehicle or system diagnostics, with direct experience supporting a production or operating fleet
- Demonstrated experience improving diagnostic quality and fault isolation accuracy using field data, with measurable reduction in time-to-diagnose
- Working knowledge of automotive serial communication protocols (CAN, CAN-FD, LIN, Automotive Ethernet) and diagnostic protocols and standards (UDS/ISO 14229, OBD, DTC management)
- Experience with fail-operational and fail-safe concepts and system diagnostics under a functional safety standard (ISO 26262 or equivalent)
- Hands-on data analysis skills—able to query, process, and draw conclusions from large fleet datasets (Python, SQL, or equivalent)
- Experience defining service and repair procedures and working directly with service or field operations teams
Bonus Qualifications:
- Experience developing prognostics, predictive maintenance, or condition monitoring features for vehicles or other fleets of complex hardware
- Experience applying statistical or machine learning methods to fault detection and anomaly detection at fleet scale
- Experience with over-the-air software and calibration deployment to a vehicle fleet
- Familiarity with Model-Based System Design (MBSD) processes
