Exowatt
Reliability Engineer
About this role
Exowatt seeks a Reliability Engineer to ensure their innovative P3 solar-thermal energy system meets rigorous uptime standards for AI infrastructure. You'll lead reliability testing, analyze field failures, define performance requirements, and drive continuous improvement across deployed systems.
What you'll do
- Define and establish reliability requirements and standards for the P3 system
- Design, execute, and oversee accelerated life-test programs in laboratory environments
- Collect, analyze, and interpret field failure data to identify root causes and failure modes
- Work on-site with customers to troubleshoot issues and validate system performance
- Develop reliability improvement initiatives based on test results and field insights
- Document findings and collaborate with product and engineering teams on design enhancements
What they're looking for
- Reliability engineering and FMEA/fault analysis
- Test design and accelerated life testing (ALT)
- Failure data analysis and statistical methods
- Thermal systems or energy systems experience
- Field troubleshooting and diagnostics
- Technical documentation and reporting
- Cross-functional collaboration
- Lab work and hands-on testing
Benefits
- Work on cutting-edge renewable energy technology for AI infrastructure
- Backing from top-tier investors including Andreessen Horowitz and Sam Altman
- Relocation assistance provided
- High-impact role in a mission-driven startup
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Exowatt
Exowatt builds an innovative solar-thermal-electric P3 platform for thermal energy storage and power generation designed to support AI infrastructure demands. The company is hiring Power Systems Engineers, Test Engineers, Quality & Reliability Engineers, and Electrical Engineers to develop and validate advanced power conversion technologies and grid interconnection systems.
View all jobs at ExowattLikely interview questions
- Describe your experience designing or executing accelerated life tests. What failure modes have you uncovered?
- How do you approach root-cause analysis when analyzing field failure data? Walk us through an example.