Supply Chain Tooling Engineer Intern
Base Power CompanyAbout the role
About Base Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
Base is building a vertically-integrated residential energy company — hardware, software, and field operations all under one roof. As a Supply Chain Tooling & Optimization Intern, you'll work directly with the teams standing up our internally built TMS, WMS, and MRP and scaling deployments across Texas. This is not a shadowing internship: you'll own real problems at the intersection of manufacturing, logistics, and software, building the tools and the intelligent layers on top of them that help us install batteries faster and more reliably. What You’ll Do Build internal tools, dashboards, and trackers that increase visibility across the supply chain. Contribute to our internally built TMS, WMS, and MRP — wiring up data pipelines, integrations, and the models behind them. Analyze operational data from ERP, supplier portals, and shipping systems to surface bottlenecks, blocked orders, and disruptions. Prototype inventory and network optimization — multi-site / multi-warehouse stock optimization, warehouse slotting, and staffing/labor planning. Build first-pass forecasting models for material demand (to feed MRP planning parameters) and for the reliability of supplier commitments — how likely a supplier is to actually hit committed dates and quantities. Ship these inside the tools planners already use, not as notebooks on a shelf — and reach for the simplest method that works. Partner directly with planners, buyers, and ops managers to scope small MVPs, deploy frequently, and iterate on real feedback. What You’ll Bring Currently pursuing a degree in Computer Science, In
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