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Anduril Industries

Scientific Software Engineer

Broomfield, Colorado, United States; Fort Collins, Colorado, United StatesFrom $167kmidAdded today

About this role

Anduril Industries seeks a Scientific Software Engineer to design and implement advanced multi-target tracking algorithms and real-time software systems for air and missile defense radar. You'll develop production-grade tracking solutions that process massive sensor data streams and protect critical military assets.

What you'll do

  • Design and implement advanced tracking algorithms for multi-target detection, track fusion, and threat discrimination
  • Develop high-performance real-time software systems that process radar data and track dozens to hundreds of simultaneous targets
  • Build modeling and simulation environments to validate tracking performance and identify system improvements
  • Collaborate with radar engineers and system architects to integrate tracking solutions into defense systems
  • Optimize tracking software for performance-critical, millisecond-sensitive environments
  • Communicate technical concepts and trade-offs to cross-functional teams and customers

What they're looking for

  • C++ programming
  • Python programming
  • Linear algebra and probability theory
  • Statistics and signal processing
  • Multi-target tracking algorithms
  • Real-time software systems design
  • Software engineering fundamentals (design patterns, testing, version control, debugging)
  • Radar systems understanding
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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.

Website
anduril.com
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Likely interview questions

  • Describe your experience implementing multi-target tracking algorithms and the mathematical frameworks you've used (e.g., Kalman filters, data association methods).
  • Tell us about a time you optimized software for a performance-critical, latency-sensitive application. What approach did you take?
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