About Zoox
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing. Backed by Lux.
About the role
Zoox is hiring a Sr. Electrical Integration Engineer - Diagnostics in Foster City, CA. The full description is on Zoox's site.
What they're looking for
- 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)
More about this role
- Own diagnostic deployment for the current service vehicle fleet and successor platforms, from requirement definition through release into the operating fleet, and foster design for diagnostics with system, firmware, and software teams.
- Improve diagnostic quality to reduce time-to-diagnose in the fleet. Drive fault isolation accuracy and resolution so a triggered fault points to the right component and repair activity.
- Close end-to-end diagnostic gaps from requirement through V&V. Own the diagnostic requirements set, maintain traceability between requirements, implementation, test coverage, and in-fleet performance, and lead design and test reviews to catch gaps early.
- Define and deploy service actions tied to diagnostic outcomes. Partner with service engineering and fleet operations to ensure each fault maps to an actionable, verified repair, and confirm effectiveness using fleet data.
- Identify and develop prognostic features that predict component and system issues ahead of failure, translating fleet telemetry into monitoring strategies that reduce unplanned downtime, and report diagnostic health and gap closure status to cross-functional and program leadership.
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