Software 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.

Staff Software Engineer

Redwood Materials runs North America's largest battery recycling operation on Redwood OS, our internal software platform. Redwood OS owns warehouse management and manufacturing, the operations and maintenance that keep them running, and integrates with Microsoft Dynamics 365 as our ERP. It is the system of record for a $3B+ business, and we will be building on it for years. We are hiring a Staff Software Engineer to own a domain of that platform end to end: shaping what gets built with the business, designing it, shipping it, and running it in production. This is a permanent product area, not a project. Interview Process:

Please note that final-round interviews will take place in person at a designated office location. Travel details will be coordinated with selected candidates. 

Responsibilities:

• Own a domain of Redwood OS end to end: shape the problem with the business, design it, ship it, and operate it in production.
• Turn ambiguous business asks into clear specifications that engineers and AI agents can execute without further interpretation.
• Make tradeoff-aware design decisions across service boundaries, data models, APIs, integrations, observability, and access control.
• Set the bar in code review: use AI effectively by decomposing work for agents, setting guardrails, verifying output at volume, and staying accountable for everything you ship.
• Keep the platform coherent as multiple engineers and agents change it in parallel.
• Debug and resolve production issues, and improve the reliability of the systems you own.
• Raise the output of everyone around you through documentation, conventions, tooling, and mentoring.
• Work directly with stakeholders on-site 3 days/week: floor walks, operator observation, pairing sessions, and demos.