Staff Reliability Engineer

Staff Reliability Engineer

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market. Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence.

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience.

Peak Energy is looking for a Staff Reliability Engineer to help scale ESS hardware reliability with a focus on HV electronics, devices, and power conversion. You will work cross-functionally to realize industry-leading reliability across all aspects of the product life cycle, from concept development through field deployment. This role sits at the intersection of design, testing, manufacturing, and field operations — with direct influence on architecture decisions and reliability outcomes that matter most.

You will creatively apply reliability expertise in a fast-paced, hands-on environment where your work has immediate and measurable impact.

The ideal candidate brings deep technical expertise, a proactive ownership mindset, and the ability to think critically and act decisively in a dynamic startup environment.

• Take independent DfR ownership for existing subsystem reliability and a lead DfR role for future products, with a focus on HV electronics, devices, and power conversion
• Fully develop reliability test programs (DV, PV, ORT) by leading DFMEA, defining mission profiles, analyzing test acceleration, and specifying test requirements
• Build and contribute to custom Python reliability analysis and modeling tools to automate workflows for life prediction, test design, test/field data, and reporting
• Define reliability requirements and acceptance criteria at key program milestones and clearly communicate risk and reliability confidence to engineering leadership
• Develop physics-of-failure lifetime models and close the loop by performing failure root cause analysis and statistical analyses of test and field reliability data
• Partner with the SIE team and suppliers to verify component quality by overseeing outsourced testing and defining qualification and inspection requirements
• Collaborate across all teams to embed DfR principles into engineering decisions throughout the product cycle, including early architecture decisions, manufacturing process development, and cost-down projects

• Bachelor's or master's degree in Electrical Engineering, Mechanical Engineering, Reliability Engineering, Materials Science, or a related field
• 5+ years of experience in hardware reliability engineering in power electronics, high-voltage systems, or consumer electronics
• Strong understanding of reliability engineering principles including statistics, data analysis, physics-of-failure, lifetime prediction models, accelerated life testing, and DFMEA
• Demonstrated ability to independently lead product reliability through multiple stages of development
• Proficiency using statistical analysis tools in Python or equivalent for modeling and data analysis
• Strong documentation and technical communication skills — able to clearly present findings and reliability principles to cross-functional and leadership teams
• Ability to think critically and act decisively to efficiently grow reliability confidence in a fast-paced startup environment

• Direct reliability experience with high voltage batteries, DC-DC converters, inverters, battery management systems, or PV solar products
• Hands-on experience designing, executing, and reporting complex electromechanical reliability tests (HTHE, PTCE, HTOE, HALT, vibration, corrosion)
• Experience with PCBA failure analysis tools such as SEM and X-ray
• Experience using DOEs, accelerated life testing, and field failure data to develop physics-based models for design margin analysis and lifetime…