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Base Power

Supply Chain Tooling Engineer Intern

Austin, TXinterninternAdded today

About this role

Base is seeking a Supply Chain Tooling & Optimization Intern to build internal tools and data pipelines for their vertically-integrated residential battery company. You'll own real problems spanning manufacturing, logistics, and software—developing dashboards, forecasting models, and optimization prototypes that directly support planners and operations teams scaling battery deployments across Texas.

What you'll do

  • Build internal dashboards, trackers, and tools to increase supply chain visibility across TMS, WMS, and MRP systems
  • Develop data pipelines and integrations to connect ERP, supplier portals, and shipping systems
  • Analyze operational data to identify bottlenecks, blocked orders, and supply chain disruptions
  • Prototype inventory and network optimization models including multi-warehouse stock allocation and warehouse slotting
  • Create demand forecasting and supplier reliability models to feed MRP planning parameters
  • Deploy solutions directly into planner workflows and iterate on feedback from operations teams

What they're looking for

  • Python and SQL
  • Data analysis and dashboarding
  • Operations research or optimization
  • Machine learning and anomaly detection
  • Data pipelines and APIs
  • ERP systems familiarity
  • Supply chain or logistics domain knowledge
  • Technical and non-technical communication
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Base Power

Base Power develops high-power-density battery energy storage systems and related hardware for residential and commercial energy applications. The company is hiring System Design, Thermal, and Mechanical Engineers for product development, plus Supply Chain and Data Engineers to build internal platforms and infrastructure supporting distributed battery operations at scale.

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Likely interview questions

  • Walk us through a past project where you built a tool or system—what problem did it solve and how did you measure success?
  • Describe your experience with optimization or operations research. How would you approach multi-warehouse inventory allocation?
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