Anduril Industries
Software Engineer, Robotics Tracking and Fusion
About this role
Anduril Industries is seeking a Software Engineer specialized in robotics tracking and fusion to develop advanced algorithms and integrate them into real-time military applications. This role involves designing high-performance systems for target tracking, multi-sensor data fusion, and state estimation, ensuring impactful technological solutions in defense.
What you'll do
- Lead a small team in target tracking and state estimation projects.
- Prototype algorithms for tracking and multi-sensor fusion.
- Develop real-time systems and decision support tools.
- Implement robust filters and estimators from sensor data.
- Analyze performance through high-fidelity simulations.
- Customize solutions for mission-critical applications.
What they're looking for
- Proficient in C/C++, Python, and Matlab.
- Knowledge of target tracking algorithms.
- Experience in state estimation and sensor fusion.
- Strong applied mathematics skills.
- Familiar with signal processing techniques.
- Understanding of big data processing.
- Background in machine learning for tracking.
- Ability to engineer robust estimation systems.
Benefits
- Transformative mission in defense technology.
- Collaborative and innovative team environment.
- Opportunity to work with cutting-edge technology.
- Potential for impactful real-world applications.
- $165,000 - $218,000 salary range.
- [unknown]
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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 were the key challenges and how did you handle noisy or incomplete sensor data?
- Describe a project where you fused data from multiple sensors (e.g., radar, lidar, EO/IR). How did you approach the integration and what trade-offs did you consider?