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Staff Software Engineer, Factory Infrastructure

Confirmed live in the last 24 hours

Redwood Materials

Redwood Materials

USA - Remote
Remote
Posted January 20, 2026

Job Description

About Redwood Materials

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2019, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.

Staff Software Engineer, Factory Infrastructure

Essential Duties:

We are seeking a Staff or Senior Software 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 ecosystemgoawsmachine learningaidataproductdesign