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Systems Design Engineer, Factory Systems Modeling

Redwood Materials

McCarran, NVFull-timePosted 7mo agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
McCarran, NV
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Redwood Materials seeks a Systems Design Engineer to develop plant‑scale models for battery refining and materials production, applying first‑principles modeling in custom software to maximize efficiency, detect equipment failures, and support soft sensors through cross‑functional collaboration.

Skills & qualifications

RequiredNice to have

Skills

PythonSimulation SoftwareFirst‑Principles ModelingControl AlgorithmsMechanical FundamentalsElectrical FundamentalsThermodynamic FundamentalsComplex System DesignMotorsPumpsSensorsActuatorsMulti‑Physics SimulationsSelf‑Motivated AttitudePassion for Sustainability

Qualifications

M.S. In Mechanical/Chemical/Electrical Engineering, Physics or Equivalent2+ Years in Systems Design Engineering and First-Principles Modeling

Full 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.

Systems Design Engineer, Factory Systems Modeling

We are seeking a Systems Design Engineer to develop models for our battery refining and materials production processes. You'll apply first-principles modeling in custom software to create plant-scale models that maximize efficiency, detect equipment failures, and power soft sensors. The goal: design the world's most optimal factories through cross-functional collaboration with stakeholders and design teams.

Responsibilities will include:

  • Implement complex system models integrating mechanical, thermal, chemical, and control theories in custom software

  • Design and implement control algorithms that optimize plant operations

  • Own and maintain controls-plant model software in the loop tests

  • Navigate cross-functional engineering teams to gather requirements and deliver solutions

  • Integrate live factory data into models to detect equipment anomalies

  • Optimize plant efficiency through modeling support

  • Apply knowledge of motors, pumps, sensors, actuators, and thermodynamic systems to accurately model plant behavior

  • Design high-level control strategies informed by simulation and data analytics

Qualifications:

  • M.S. in Mechanical/Chemical/Electrical Engineering, Physics, or equivalent experience

  • 2+ years in Systems Design Engineering and first-principles modeling, preferably with multi-physics simulations

  • Proficiency in Python and/or simulation software with functional software engineering skills

  • Strong grasp of mechanical, electrical, and thermodynamic fundamentals

  • Experience with complex system design

  • Self-motivated, hands-on attitude with willingness to contribute at all levels

  • Passion for sustainability and making the world better

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 [email protected].

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