Anduril Industries
Tracking Software Engineer, Space
About this role
Anduril Industries seeks a Tracking Software Engineer to develop advanced 2D/3D tracking algorithms for space situational awareness missions. You'll design multi-target tracking systems using state estimation and data association techniques, build physics-based models, and transition prototypes into operational systems for space domain awareness and control.
What you'll do
- Design and implement multi-target tracking and state estimation algorithms including Kalman filtering and advanced data association methods
- Develop and evaluate multi-sensor fusion approaches for EO/IR and RF sensor architectures
- Build physics-based models and conduct Monte Carlo analysis, sensor playback, and hardware-in-the-loop testing
- Perform systems engineering including requirements decomposition, trade studies, and verification planning
- Collaborate with software engineers to transition MATLAB/Python prototypes to production C/C++ code
- Prepare technical documentation and conduct design reviews for customer and internal stakeholders
What they're looking for
- Multi-target tracking algorithm development
- State estimation (Kalman filters, EKF, UKF, IMM)
- Data association techniques (JPDA, MHT, nearest neighbor)
- MATLAB and Python programming
- C/C++ for production systems
- Modeling and simulation
- Systems engineering
- EO/IR and RF sensor fusion
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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 and implementing multi-target tracking algorithms. Can you describe a specific project where you handled track initiation, maintenance, correlation, and termination?
- Tell us about your hands-on experience with Kalman filtering techniques (EKF, UKF, IMM). How have you applied these to real-world tracking problems with maneuvering targets or clutter?