Supply Chain Tooling Engineer Intern

Base Power Company • Austin, TX

56d • Onsite

About The Position

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.

Requirements

• 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).
• Familiarity with data analysis and dashboarding; bonus for experience with pipelines, APIs, or ERP systems.
• Strong written and verbal communication — able to translate between technical and non-technical stakeholders.
• Builder mindset — enjoys ambiguity, takes ownership, and is excited to make things work better, not just measure them.

Nice To Haves

• Experience in a tech-enabled operations environment is a plus— energy, logistics, or manufacturing.

Responsibilities

• 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 This Job Offers

• Career Level: Intern
• Education Level: No Education Listed