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.
164k – 197k/yr
On-site3+ YOEHardware Engineering
About the role
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
DfmeaReliability StatisticsWeibull AnalysisPhysics-Of-FailurePrognostics And Health ManagementPhmLidarRadarPythonpandasNumPy
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