Design Reliability Engineer – Sensor, Compute and EE Systems
Design Reliability Engineer ensures durability of sensors, AI compute, and ECUs in autonomous vehicles through targets, DFMEA, test plans, and PHM strategies. Requires 3-5 years experience, reliability stats expertise, and engineering degree.
About the job
Responsibilities
- Establish and refine system/component-level reliability targets for sensors, AI compute, and ECUs.
- Drive DFMEA processes to identify risks and mitigation strategies.
- Develop virtual and physical test plans based on reliability targets and physics-of-failure.
- Lead PHM strategies including health indicators, degradation models, and failure precursors.
- Operationalize PHM with software and data teams for monitoring and maintenance.
- Build closed-loop reliability systems using field data for continuous improvements.
Qualifications
- Bachelor's or Master’s in engineering with 3-5 years hands-on Reliability Engineering experience.
- Understanding of sensors, high-performance computers, and ECUs failure modes.
- Expertise in reliability data analysis, risk assessment, and component targets.
- Strong foundation in reliability statistics (Weibull, life data analysis) and physics (thermal, vibration, etc.).
- Experience in failure mode assessment, accelerated testing, field monitoring, or PHM.
Bonus Qualifications
- Python tools: PySpark, Pandas, NumPy, SciPy.
- ASQ Certified Reliability Engineer or similar.
- ISO 26262 Functional Safety knowledge.
Skills
Dfmea, Reliability Statistics, Weibull Analysis, Physics-Of-Failure, Prognostics And Health Management, Phm, Lidar, Radar, Python, pandas, NumPy
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