Energy Optimization Engineering Intern

<div class="content-intro"><div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <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 data-contrast="auto">Essential Duties:</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">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 backtesting 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 data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> This is a Summer 2026 position.</span></span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">Responsibilities Will Include:</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong><span data-contrast="auto">AI-Driven Predictive Decision Making and Optimization</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span data-contrast="auto">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;" data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559683":0,"335559684":-2,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><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 data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":0,"335559739":0}"> </span></span></li> </ul> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif ... (truncated, view full listing at source)