Anduril Industries
Software Engineer, Robotics Tracking and Fusion
About this role
Anduril Industries is seeking a Software Engineer specializing in robotics tracking and fusion. This role involves defining team direction, prototyping algorithms, and developing high-performance software for military applications, with a focus on real-time data processing and situational awareness.
What you'll do
- Lead a small team on target tracking and state estimation projects.
- Prototype and deploy algorithms for multi-sensor data fusion.
- Develop real-time software for tactical and simulation environments.
- Design filters and systems for actionable insights from sensor data.
- Analyze system performance with simulations and statistical techniques.
- Customize algorithms for mission-critical tracking applications.
What they're looking for
- Expertise in C/C++, Python, and Matlab.
- Knowledge of target tracking techniques like Kalman filters.
- Experience with state estimation and sensor fusion.
- Strong background in applied mathematics.
- Familiarity with signal processing and big data pipelines.
- Understanding of machine learning for tracking applications.
- Ability to engineer robust estimation systems.
- Experience across software development lifecycles.
Benefits
- Competitive salary range of $191,000 - $253,000.
- Opportunities to work on cutting-edge technology.
- Collaborative and innovative team environment.
- Impactful work on national defense projects.
- Support for professional development and learning.
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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 implementing Kalman filters or particle filters for target tracking. What challenges did you face and how did you overcome them?
- Describe a project where you performed sensor fusion on data from multiple sources (e.g., radar, lidar, EO/IR). How did you handle sensor discrepancies or noisy data?