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.

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, Industrial/Systems Engineering, Operations Research, Supply Chain, Data Science, or similar.

Comfort writing Python and SQL, and a genuine interest in building tools — not just analyzing data.

Some exposure to at least one of: optimization / operations research or basic ML / anomaly detection (coursework, projects, or prior internships all count).

Supply Chain Tooling Engineer Intern

Responsibilities

Qualification

Required

Preferred

Company

Base Power

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