Anduril Industries
Algorithm Engineer, Battlespace Awareness
About this role
Anduril Industries seeks an Algorithm Engineer to develop advanced tracking algorithms and real-time software systems for air and missile defense radar. You'll design multi-target tracking solutions that process massive sensor data streams and protect against airborne threats in mission-critical defense applications.
What you'll do
- Design and implement multi-target tracking and track fusion algorithms for air and missile defense systems
- Develop high-performance real-time software in C++ that processes radar data and tracks dozens to hundreds of simultaneous targets
- Build modeling and simulation environments to validate tracking performance and identify improvements
- Collaborate with radar engineers and system architects to integrate tracking solutions into end-to-end systems
- Optimize tracking software for performance-critical, low-latency environments
- Communicate technical trade-offs to cross-functional teams and customers; support field demonstrations
What they're looking for
- C++ and Python programming
- Multi-target tracking algorithms
- Signal processing and sensor fusion
- Linear algebra, probability, and statistics
- Real-time software systems design
- Software engineering fundamentals and debugging
- Mathematical modeling and simulation
- System integration and 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.
- Website
- anduril.com
Likely interview questions
- Walk us through your experience designing or implementing multi-target tracking algorithms—what were the key challenges?
- How have you optimized real-time software for latency-critical applications, and what metrics did you use to measure success?