Reliability Engineer

Role Summary
In 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. 

Role Summary
In 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.