<div><div><div><div><div><p><span style="font-family:helvetica , arial , sans-serif;font-size:12pt;"><strong>About Redwood Materials</strong></span></p><div><p><strong>Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling </strong><strong>— </strong><strong>keeping critical minerals in circulation and driving the energy transition. Founded in 2017,</strong><strong> 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.</strong></p></div></div></div></div></div></div><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><strong><span>Energy Optimization Engineering Intern:</span></strong><span> </span></span></p><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span>The Energy Optimization Engineering Intern will support the development of the predictive "intelligence layer" used to manage energy for AI Data Centers and microgrids. Working under the guidance of senior engineers, you will help build and validate time-series forecasting models for GPU power loads and market prices, integrating these inputs into Mixed-Integer Programming (MIP) prototypes. You will collaborate with cloud software teams to test these "forecast-informed" algorithms in a cloud-native environment, assisting in the simulation and back testing of energy management strategies. Your objective is to help improve the accuracy and efficiency of our EMS, gaining hands-on experience in "value-stacking" and real-world energy optimization.</span><span> This is a Summer 2026 position.</span></span></p><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><strong><span>Responsibilities Will Include:</span></strong><span> </span></span></p><ul><li><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span>Apply time-series forecasting and machine learning algorithms to predict PV generation, microgrid load profiles, and electricity market prices</span> </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Integrate multi-horizon forecasts into intelligent Energy Management Systems (EMS) to drive autonomous decision-making</span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Develop high-fidelity mathematical models of Battery Energy Storage Systems (BESS) and Microgrid components</li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Utilize Mixed-Integer Programming (MIP) and other mathematical optimization techniques to solve complex resource allocation and scheduling problems</li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Conduct large-scale EMS simulations and scenario testing to validate strategy performance and stability under varying grid conditions<span style="font-size:12pt;"> </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Work closely with Cloud Software Engineers to deploy optimization engines and predictive models into scalable cloud architectures</li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Design and maintain high-performance Application Programming Interfaces (APIs) for real-time control signals and data exchange between the cloud and site-level assets<span style="font-size:12pt;"> </span></li></ul><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><strong><span>Desired Qualifications:</span></strong><span> </span></span></p><ul><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">MS or PhD in Energy Engineering, Electrical Engineering, Operations Research, Applied Mathematics or a related field</span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Strong background in optimization (mixed integer, stochastic, robust, convex) with applications to SCUC/SCED or other electricity market problems </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Strong background in time series data forecasting applied to energy systems </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Strong communication and collaboration skills </span></li><li style="font-size:12pt;font-family:helvetica , arial , sans-serif;"><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">Familiarity with AI techniques in energy markets<span> </span></span></li></ul><div><div><div><p><span><span>In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills. </span></span></p></div><div>California Pay Range:</div><div><span>$41</span><span>—</span><span>$54.50 USD</span></div></div></div><div><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">The position is full-time. Compensation will be commensurate with experience.</span></p><p> </p><p><span style="font-size:12pt;">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.</span></p></div>

<p>Redwood is developing a fully closed-loop, domestic supply chain for lithium-ion batteries. Our team manufactures critical battery components using as many recycled batteries as possible &mdash; localizing a 50,000-mile global supply battery chain on a single site.</p>

Energy Optimization Engineering Intern

<div><div><div><div><div><p><span><strong>About Redwood Materials</strong></span></p><div><p><strong>Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling </strong><strong>— </strong><strong>keeping critical minerals in circulation and driving the energy transition. Founded in 2017,</strong><strong> 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.</strong></p></div></div></div></div></div></div><p><span><strong><span>Energy Optimization Engineering Intern:</span></strong><span> </span></span></p><p><span><span>The Energy Optimization Engineering Intern will support the development of the predictive "intelligence layer" used to manage energy for AI Data Centers and microgrids. Working under the guidance of senior engineers, you will help build and validate time-series forecasting models for GPU power loads and market prices, integrating these inputs into Mixed-Integer Programming (MIP) prototypes. You will collaborate with cloud software teams to test these "forecast-informed" algorithms in a cloud-native environment, assisting in the simulation and back testing of energy management strategies. Your objective is to help improve the accuracy and efficiency of our EMS, gaining hands-on experience in "value-stacking" and real-world energy optimization.</span><span> This is a Summer 2026 position.</span></span></p><p><span><strong><span>Responsibilities Will Include:</span></strong><span> </span></span></p><ul><li><span><span>Apply time-series forecasting and machine learning algorithms to predict PV generation, microgrid load profiles, and electricity market prices</span> </span></li><li><span>Integrate multi-horizon forecasts into intelligent Energy Management Systems (EMS) to drive autonomous decision-making</span></li><li>Develop high-fidelity mathematical models of Battery Energy Storage Systems (BESS) and Microgrid components</li><li>Utilize Mixed-Integer Programming (MIP) and other mathematical optimization techniques to solve complex resource allocation and scheduling problems</li><li>Conduct large-scale EMS simulations and scenario testing to validate strategy performance and stability under varying grid conditions<span> </span></li><li>Work closely with Cloud Software Engineers to deploy optimization engines and predictive models into scalable cloud architectures</li><li>Design and maintain high-performance Application Programming Interfaces (APIs) for real-time control signals and data exchange between the cloud and site-level assets<span> </span></li></ul><p><span><strong><span>Desired Qualifications:</span></strong><span> </span></span></p><ul><li><span>MS or PhD in Energy Engineering, Electrical Engineering, Operations Research, Applied Mathematics or a related field</span></li><li><span>Strong background in optimization (mixed integer, stochastic, robust, convex) with applications to SCUC/SCED or other electricity market problems </span></li><li><span>Strong background in time series data forecasting applied to energy systems </span></li><li><span>Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics </span></li><li><span>Strong communication and collaboration skills </span></li><li><span>Familiarity with AI techniques in energy markets<span> </span></span></li></ul><div><div><div><p><span><span>In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills. </span></span></p></div><div>California Pay Range:</div><div><span>$41</span><span>—</span><span>$54.50 USD</span></div></div></div><div><p><span>The position is full-time. Compensation will be commensurate with experience.</span></p><p> </p><p><span>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.</span></p></div>

Energy Optimization Engineering Intern

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About the Company

Redwood Materials

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