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Anduril Industries

Algorithm Engineer, Battlespace Awareness

Broomfield, Colorado, United States; Fort Collins, Colorado, United StatesFrom $147kmidAdded 1 week ago

About this role

Anduril Industries seeks an Algorithm Engineer to design and implement advanced multi-target tracking algorithms for radar-based air and missile defense systems. You'll develop real-time, high-performance software that processes massive sensor data streams to detect and track airborne threats, collaborating with radar engineers to integrate solutions into production defense systems.

What you'll do

  • Design and implement multi-target tracking and track fusion algorithms for airborne threat detection
  • Develop real-time software systems optimized for millisecond-latency radar sensor data processing
  • Build modeling and simulation environments to validate tracking performance and identify improvements
  • Collaborate with radar engineers and system architects on end-to-end system integration
  • Optimize tracking software for performance-critical environments
  • Participate in customer demonstrations and field tests for deployment validation

What they're looking for

  • C++ and Python programming
  • Multi-target tracking algorithms
  • Linear algebra, probability, and statistics
  • Signal processing and sensor fusion
  • Real-time software systems design
  • Software engineering fundamentals (design patterns, testing, version control)
  • Mathematical modeling and simulation
  • Performance optimization
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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

  • Describe your experience implementing multi-target tracking algorithms. What challenges did you face with track management and association?
  • How would you approach optimizing tracking software to meet strict millisecond-latency requirements?