Battery Data Engineer

About Redwood Materials

Redwood Materials was founded in 2017 by JB Straubel, co-founder and former CTO of Tesla, on a simple but radical idea: the critical minerals powering the energy transition already exist. They just need to come back. Today Redwood is the largest lithium-ion battery recycler in North America — recovering, refining, and redeploying critical minerals from end-of-life batteries back into the supply chain. On the energy side, Redwood has deployed the largest second-life battery project in the world, delivering power to AI data centers in months rather than years using proprietary energy architecture engineered entirely in-house. The company is profitable, the market it operates in is projected to grow 20 to 50 times over the next decade, and Redwood is the only company with the supply chain, the technology, and the operational scale to lead it.

Position Summary: 

The Senior Battery Data Engineer develops the software stack that powers Redwood's battery characterization program, spanning data pipelines, hardware control services, and workflows that connect test data to downstream modeling and analysis. This is a fully on-site role at 100 Hooper. As the software stack matures, this role has the opportunity to shape it into a deterministic tool-calling layer, leveraging it to build an AI agent co-pilot that accelerates the characterization workflow, with evals co-developed alongside battery domain experts. This role sits at the intersection of data infrastructure and systems automation, building the foundational software that powers battery modeling, algorithm, and qualification efforts.

Essential Duties and Responsibilities 

• Own the data infrastructure that serves large-scale battery time-series data from battery cyclers to cloud storage
• Contribute to the software services that orchestrate testing using commercial lab battery cyclers and in-house field-level power converters located at production sites
• Develop and maintain the tool layer for battery testing, such as structured protocol schemas, cycler control APIs, real-time battery test anomaly detection, and digital twin simulation
• Partner with battery test and algorithm engineers to identify inefficiencies, then design and build software or agentic workflows to automate them, utilizing the deterministic tool layer above
• Collaborate with domain experts to define agent eval suites and correctness criteria as agentic automation is introduced 

Skills, Knowledge, and Abilities  

• BS or MS in Engineering (Mechanical, Chemical, Materials, Electrical), or a related field