Staff Software Engineer, Factory Automation

• Posted 1 hour ago • Updated 1 hour ago
Full Time
Fitment

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Job Details

Skills

  • Supply Chain Management
  • Recovery
  • Energy
  • Storage
  • IaaS
  • Manufacturing Operations
  • Cloud Computing
  • Machine Learning (ML)
  • Programmable Logic Controller
  • Continuous Integration
  • Continuous Delivery
  • Documentation
  • Training
  • Collaboration
  • Mentorship
  • Software Engineering
  • Computer Science
  • Software Development
  • Systems Design
  • Amazon Web Services
  • Testing
  • Software Architecture
  • Communication
  • Sustainability
  • Privacy

Summary

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 2017, 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 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183370
  • Position Id: b38fb276037ec8c96492ebe40250ccdd
  • Posted 1 hour ago
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