Redwood Materials
- Robot type
- Robotics
- Location
- San FranciscoCaliforniaUSA
- Job type
- Software
- Posted
- Oct 13, 2026
- Salary
- $172,500–$198,000 a year
Senior Battery Data Engineer
Job description
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.
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…
Job 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
Job requirements
- BS or MS in Engineering (Mechanical, Chemical, Materials, Electrical), or a related field
- Strong software development skills in Python, including building production services, data pipelines, and APIs
- Familiarity with battery testing and cycler platforms (e.g., Arbin, Maccor, Neware)
- Experience with cloud data infrastructure (e.g., AWS, GCP, or Azure) for storing, processing, and serving large-scale time-series data
- Strong communication and collaboration skills; proactive in working directly with stakeholders to identify workflow bottlenecks and turn them into actionable software priorities
- Bonus: proficiency in Rust for building production services; experience building AI agent harnesses and eval suites; understanding of lithium-ion cell behavior and safety considerations;
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