Senior Battery Data Engineer

Redwood Materials
San Francisco, CA
On-site

Who this role is best for

Battery domain professionals with Python and cloud infrastructure experience will find this role at the intersection of data systems and automation.

Best fit for

  • Candidates with a background in battery testing and experience building data pipelines in Python
    — “Strong software development skills in Python, including building production services, data pipelines, and APIs”
  • Individuals with expertise in battery cyclers and a history of working with cloud storage systems
    — “Own the data infrastructure that serves large-scale battery time-series data from battery cyclers to cloud storage”
  • Engineers who have experience in automation and are comfortable shaping software architecture
    — “This role has the opportunity to shape it into a deterministic tool-calling layer”

Things to consider

  • On-site work is required at 100 Hooper, which may limit remote flexibility
    — “This is a fully on-site role at 100 Hooper”
  • The role involves close collaboration with battery domain experts and algorithm teams
    — “Partner with battery test and algorithm engineers to identify inefficiencies”
  • Candidates must be prepared to work on agentic workflows and AI integration
    — “Leveraging it to build an AI agent co-pilot that accelerates the characterization workflow”

How to stand out

  • Highlight experience with time-series data infrastructure and battery cycler platforms in your resume
    — “Own the data infrastructure that serves large-scale battery time-series data”
  • Showcase your ability to design automated workflows that solve real-world testing inefficiencies
    — “Design and build software or agentic workflows to automate them”
  • Emphasize collaboration with domain experts and your ability to define correctness criteria
    — “Collaborate with domain experts to define agent eval suites and correctness criteria”
  • Include any experience with digital twin simulation or real-time anomaly detection systems
    — “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”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed software stack for battery characterization program
  • Improved efficiency in battery testing workflows
Typical background
BS or MS in EngineeringExperience in data engineering

Skills & requirements

Required

PythonCloud Data InfrastructureBattery Testing And Cycler PlatformsData PipelinesApis

Preferred

RustAI Agent HarnessesLithium-ion Cell BehaviorAI Coding Assistants

Stack & domain

PythonAWSGCPAzureRustAIMachine LearningBattery TestingCycler PlatformsCloud Data InfrastructureData PipelinesApisReal-time Data ProcessingDigital Twin SimulationCommunicationCollaborationProblem SolvingProactiveLeadershipBattery TechnologyData EngineeringCloud ComputingData InfrastructureLithium-ion Batteries

About the role

Original posting from Redwood Materials via Greenhouse

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

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; experience with AI coding assistants like Cursor or Claude Code 

In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills. 

California Pay Range:$172,500—$198,000 USDThe position is full-time. Compensation will be commensurate with experience.

We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.

Source: Redwood Materials careers (Greenhouse)

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