Anduril Industries
Software Engineer, Robotics Tracking and Fusion
About this role
Anduril Industries seeks a Software Engineer specializing in robotics tracking and sensor fusion to develop advanced algorithms for real-time target tracking and state estimation in defense systems. You'll lead technical direction on a small team, prototyping and deploying cutting-edge solutions for multi-sensor data fusion while translating complex technical work into actionable insights for stakeholders.
What you'll do
- Define team direction and provide subject-matter expertise in target tracking and state estimation
- Prototype and deploy tracking and sensor fusion algorithms in iterative development environments
- Develop high-performance real-time software for tactical systems, simulations, and decision support tools
- Design filters, estimators, and probabilistic reasoning systems for noisy and incomplete sensor data
- Validate technology benefits through high-fidelity simulations and rigorous statistical analysis
- Customize algorithms and integrate tracking technologies into broader software development lifecycle
What they're looking for
- C/C++, Python, and Matlab programming
- Kalman filters, particle filters, and multi-target tracking algorithms (JPDA, MHT, PHD)
- Bayesian filtering and sensor fusion
- Signal processing for radar, lidar, and EO/IR data
- Applied mathematics (linear algebra, optimization, probability, stochastic processes)
- Machine learning for tracking, classification, and anomaly detection
- Big data pipelines and NoSQL databases
- Estimation theory and adaptive filtering
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
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 Kalman filters or particle filters for multi-target tracking—what challenges did you encounter and how did you solve them?
- Walk us through how you would approach fusing data from multiple heterogeneous sensors (e.g., radar and lidar) in real time.