Job description

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, Factory Automation We are seeking a StaffSoftware Engineer, Factory Infrastructure to join us as we build the next generation of deployment and simulation infrastructure for our factory control systems. This role will be instrumental in designing and implementing cloud infrastructure, establishing software architecture patterns, and creating robust testing environments for our Beckhoff PLC-based factory control system. You'll work at the intersection of cloud infrastructure, industrial automation, and software architecture—designing systems that enable our controls and machine learning engineers to develop, test, and deploy factory automation solutions with confidence. This is an opportunity to build foundational infrastructure that will scale with our rapidly growing manufacturing operations while mentoring engineers across multiple disciplines. Responsibilities will include: Design and implement AWS infrastructure using the Cloud Development Kit (CDK), establishing patterns and best practices for infrastructure as code Architect application systems and provide software architecture guidance for applications built by machine learning engineers and controls engineers Lead the design and development of deployment and simulation infrastructure for our Beckhoff PLC-based factory control system, including comprehensive testing environments and CI/CD pipelines Create documentation, tools, and training materials to help controls engineers effectively use the simulation and test ecosystem Collaborate with cross-functional teams to gather requirements, mentor engineers on best practices, and participate in technical planning for long-term infrastructure strategy Qualifications: B.S. or advanced degree in Software Engineering, Computer Science, or another discipline with significant relevant work experience Minimum 5+ years of software development experience with demonstrated expertise in infrastructure, systems design, and AWS services (preferably using AWS CDK) Experience designing and implementing deployment pipelines, testing frameworks, and simulation environments; familiarity with industrial control systems or PLCs is a plus Strong understanding of software architecture patterns with ability to provide technical guidance to engineers from diverse backgrounds Excellent communication skills, self-motivated attitude, and a passion for sustainability and making the world a better place! The 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.

Requirements

Must-haves

Design and implement AWS infrastructure using the Cloud Development Kit (CDK), establishing patterns and best practices for infrastructure as code
Architect application systems and provide software architecture guidance for applications built by machine learning engineers and controls engineers
Lead the design and development of deployment and simulation infrastructure for our Beckhoff PLC-based factory control system, including comprehensive testing environments and CI/CD pipelines
Create documentation, tools, and training materials to help controls engineers effectively use the simulation and test ecosystem
Collaborate with cross-functional teams to gather requirements, mentor engineers on best practices, and participate in technical planning for long-term infrastructure strategy
B.S. or advanced degree in Software Engineering, Computer Science, or another discipline with significant relevant work experience
Minimum 5+ years of software development experience with demonstrated expertise in infrastructure, systems design, and AWS services (preferably using AWS CDK)
Strong understanding of software architecture patterns with ability to provide technical guidance to engineers from diverse backgrounds
Excellent communication skills, self-motivated attitude, and a passion for sustainability and making the world a better place!
The position is full-time. Compensation will be commensurate with experience.

Nice-to-haves

Experience designing and implementing deployment pipelines, testing frameworks, and simulation environments; familiarity with industrial control systems or PLCs is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawsci/cd

Platform: greenhouse
Effort: quick