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Anduril Industries

2027 Early Career Industrial Engineer

Ashville, Ohio, United StatesFrom $99kfull-timeentryAdded today

About this role

Anduril Industries seeks an early career Industrial Engineer to optimize manufacturing operations for cutting-edge defense hardware. You'll drive data-driven production line design, monitor operational metrics, identify bottlenecks, and collaborate across teams to ensure quality, speed, and on-time delivery in a fast-paced environment.

What you'll do

  • Own production metrics and KPIs including cycle time, throughput, capacity, utilization, and first pass yield
  • Design new production lines and workstations using value stream mapping and line balancing techniques
  • Create dashboards and reports to communicate manufacturing health across the organization
  • Identify production constraints and bottlenecks; drive cross-functional resolution with supply chain, engineering, and quality
  • Provide manufacturing signals to inform engineering cut-in dates, supply chain procurement, and growth contracting decisions

What they're looking for

  • Value stream mapping and process optimization
  • Production line design and workstation layout
  • Data analysis and KPI tracking
  • Lean manufacturing principles
  • Cross-functional collaboration and communication
  • Enterprise resource planning (ERP) systems
  • Manufacturing execution systems (MES)
  • Siemens Plant Simulation software
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Anduril Industries

Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.

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Likely interview questions

  • Tell us about a time you identified and resolved a manufacturing bottleneck in a resource-constrained environment.
  • How would you approach designing a production line from scratch using data-driven methods?