Role SummaryIn this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure.
Responsibilities: - Assist in the setup and execution of reliability test plans for SST's, including thermal mapping and accelerated life testing.
- Utilize statistical methods to analyze test data, identifying trends in component or system-level failures.
- Participate in DFMEA sessions, helping to document risks and track mitigation actions.
- Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations.
- Assist in building reliability block diagrams and basic PoF models to predict product lifetime.
- Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met.
- Maintain detailed records of test procedures, lab results, and reliability reports for key milestones.
- Ability to travel occasionally to different facilities to support hardware deployment and testing.
Qualifications: - Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering.
- Strong understanding of power electronics fundamentals and circuit analysis.
- Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods.
- Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters).
- Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock.
- Basic proficiency in Python, MATLAB, or R for data processing and automation.
- Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team.
- A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
SF Pay Range
$115,000-$160,000 USD
Pay Disclosure & BenefitsCompensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
- Competitive Salary + Incentive Stock Options
- Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- 401k retirement savings plan through Empower
- Employees receive paid time off (PTO), paid sick days, and paid company holidays
- 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.
