Senior Hardware Reliability Engineer, Nuro

• Deep background in reliability prediction, FMEA, reliability test development and execution, FRACAS, and failure analysis techniques
• Good understanding of design of experiments theory and application
• A basic understanding of physics of failure
• Great collaborator and communicator. Experience and ability to drive cross-functional teams and communicate clearly
• Demonstrated an ability to thrive in fast-paced, start-up environments
• Working knowledge of failure analysis techniques such as optical microscopy, SEM, CT, X-ray, EDS, FTIR etc
• Experience in reliability engineering and testing of automotive or mission-critical electronic hardware
• Deep understanding of automotive environmental, mechanical, and electrical stressors on hardware
• Familiarity with automotive reliability standards and testing methods (e.g., ISO 26262, AEC-Q100, SAE, IEC, JEDEC)

Desirable

• We're seeking a Reliability Engineer to join our hardware team. In this role, you'll be responsible for ensuring the safety, reliability, and durability of mission-critical hardware systems for autonomous vehicles. This position combines reliability engineering with hands-on testing and failure analysis
• As a key member of the team, you'll design and execute module-level reliability test plans while providing clear input and feedback to our design teams. You will work cross-functionally to support the design, validation, and production of cutting-edge hardware system
• Influence reliability early in the design process by facilitating DFMEAs and participating in design reviews
• Develop new reliability tests and specs based on field usage conditions
• Specify reliability risk and validation plans for components and subsystems using a physics of failure approach
• Run test/validation programs for all custom designed modules
• Lead FA efforts on relevant reliability test and field failures for root cause identification and CAPA implementation
• Analyze usage and environmental conditions from the field in order to improve requirement setting and testing methods
• Utilize reliability statistics to identify reliability trends in the field and provide a clear snapshot of risk
• Develop and maintain a meaningful set of KPIs for field reliability performance
• Define and track critical reliability metrics (e.g., FIT rates, MTBF) for systems operating in dynamic roadway environments
• Recommend enhancements to supplier test processes and negotiate changes to supplier test plans as necessary to address gaps, strengthen validation, and mitigate reliability risks
• Communicate clearly reliability results & risks to product & management teams
• Share reliability learning with hardware engineering community & develop best practices to guide future design work