Design Reliability Engineer – Sensor, Compute and EE Systems

Establish and refine the system/component-level targets for reliability performance of the sensors (including LiDAR, radar, and camera components), AI compute system, and other automotive electronic control units (ECU) in collaboration with internal stakeholders on the Hardware and Sensors Engineering teams.

Drive the design failure mode and effects analysis process (DFMEA) for relevant sensors, high-performance computers, and ECUs to capture key reliability risks and define appropriate mitigation strategies.

Use reliability targets, DFMEA outputs, and physics-of-failure principles to partner with validation engineers in developing virtual and physical test plans that prove out designs and demonstrate required reliability performance.

Lead the definition and deployment of Prognostics and Health Monitoring (PHM) strategies for sensors, compute, and EE systems, including identification of available signals, development of health indicators, degradation models, and failure precursors to enable early fault detection and remaining useful life estimation

Partner with software, data, and systems teams to operationalize PHM capabilities in the vehicle and backend pipelines, translating reliability risks into actionable monitoring, alerting, and maintenance recommendations.

Pave the way from development to field deployment by building closed-loop reliability systems that leverage field data, PHM insights, and fleet telemetry to identify performance improvement opportunities and drive corrective actions across design, validation, and operations.