Reliability Engineer, Energy Storage

Redwood Materials•San Francisco, CA

11h

About The Position

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.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related field
5 + years of experience in hardware reliability engineering, preferably in industries like energy, EV, consumer electronics, or aerospace
Deep knowledge of electronic and mechanical failure mechanisms (e.g., solder fatigue, corrosion, delamination, sealing failures, thermal expansion mismatch, material fatigue, etc.)
Proficiency in statistical analysis tools (e.g., Minitab, JMP, or Python)
Experience with reliability lab equipment and test setup design
Knowledge of reliability warranty analysis and reliability prediction methods
Working knowledge of failure analysis techniques such as optical microscopy, SEM, CSAM, X-ray, cross-sectioning, and EDX
A passion for sustainability and making the world a better place!

Responsibilities

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 to predict field performance
Work closely with engineering teams to establish reliability gates through program stages (A/B/C/D)
Support failure analysis (FA) efforts using tools like X-ray, cross-sectioning, and SEM/EDX to identify failure mechanisms in PCBAs
Contribute to continuous improvement efforts across reliability processes, lab capabilities, and test methodologies
Author reports / document findings