Reliability Engineer, Energy Storage
Redwood Materials - San Francisco, California, United States
Posted Mar 25, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
State eligibility is not yet verified.
About this role
Reliability Engineer, Energy Storage San Francisco, California, United States About Redwood Materials Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling - keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we're delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have. Reliability Engineer, Energy Storage As an early member of a new engineering team, you will be responsible for defining system reliability requirements, generating damage models, and characterizing the reliability of our new product. You will work cross-functionally to define requirements, analyze designs, and design tests to meet high reliability standards in real-world conditions, including both electrical and mechanical failure modes. You're a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood. Responsibilities will include: - Define and own the reliability strategy for hardware products with complex printed circuit board assemblies (PCBAs) and electromechanical systems - Plan and execute reliability tests such as HALT, thermal cycling, vibration, drop, humidity, ingress protection (IP) testing, and power cycling - Collaborate with cross-functional teams to define design-for-reliability (DfR) requirements and drive root cause analysis for test failures - Track reliability KPIs and deliver reliability insights to guide design improvements and product decisions - Develop accelerated life test models and support FMEA and DFMEA processes - Analyze reliability data using Weibull, log-normal, and other statistical models
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