Anduril Industries
Scientific Software Engineer
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 while collaborating with radar engineers to integrate systems into mission-critical defense platforms.
What you'll do
- Design and implement multi-target tracking algorithms with track fusion and discrimination techniques
- Develop high-performance real-time software systems for radar sensor data processing
- Build modeling and simulation environments to validate tracking performance and system capabilities
- Collaborate with radar engineers and system architects on integration into defense systems
- Optimize tracking software for millisecond-critical performance environments
- Communicate technical concepts to cross-functional teams and customers; support field tests and demonstrations
What they're looking for
- C++ and Python programming
- Linear algebra, probability, statistics, and differential equations
- Multi-target tracking and sensor fusion algorithms
- Real-time systems optimization
- Software engineering fundamentals (design patterns, testing, version control, debugging)
- Signal processing and radar systems knowledge
- Mathematical modeling and simulation
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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
- Describe your experience implementing multi-target tracking algorithms. What challenges did you face with target disambiguation or track fusion?
- Walk us through how you've optimized software for latency-critical environments. What profiling or measurement techniques did you use?