Senior Hardware System Reliability Engineer (English)
Summary
Senior hardware reliability engineer on Google's Devices & Services team, defining reliability standards for new consumer electronics, leading DFMEA/design-for-reliability work, and driving failure analysis with contract manufacturers. Core skills include statistical reliability methods, test execution, and data analysis with Python or MATLAB.
- Lead Design for Reliability (DfR) for NPI hardware projects, driving rigorous Design Failure Mode and Effects Analysis (DFMEAs), physics-based modeling, and continuous risk scorecards to quantify and prevent P0/P1 issues early.
- Achieve Annual Return Rate (ARR) targets by executing advanced test suites and tracking field correlation to accurately predict shipping reliability metrics.
- Drive end-to-end failure analysis (FA) and corrective action validation (FACA) for complex system and component issues, leveraging AI and advanced tools to accelerate root cause resolution.
- Collaborate with cross-functional partners and suppliers to validate design changes, establish standardized test fixtures, and mentor junior engineers.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science or equivalent practical experience.
- 6 years of experience with reliability, quality engineering or a related field.
- Industry experience working with contract manufacturing partners.
- Experience with consumer electronics design and processes.
- Ability to communicate in English fluently as this is a role that requires interactions with global teams.
Preferred qualifications:
- Master’s degree or PhD in Electrical Engineering, Mechanical Engineering, Materials Science, or a related field.
- Experience in applying design for reliability techniques such as Fault Tree Analysis (FTA) and DFMEA and reliability modeling techniques such as Reliability Block Diagram, Weibull, ALT.
- Experience in collaboration with cross-functional teams on assessing risks and identifying corrective actions for failures captured in reliability testing.
- Experience with Python, MATLAB or other programming languages for data analysis and hardware tests.
- Experience with failure analysis techniques for electrical, mechanical or optical components.
- Ability to travel domestically and internationally as needed.