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Salary: USD 220,000 - 292,000 / annual
Anduril Industries is a defense technology company developing advanced autonomous systems powered by Lattice OS, an AI-powered operating system for military command and control. The Maneuver Dominance team specializes in multi-asset autonomy, integrating advanced perception and autonomy algorithms into complex aerial platforms.
You will develop, integrate, and test navigation solutions enabling platforms like Omen and Thunder to operate in GNSS-contested environments. This role spans the full stack: sensor selection and placement, simulation and data replay pipelines, field testing (fly-fix-fly iteration), and automated regression testing. You'll work closely with autonomy, flight controls, and hardware teams to integrate navigation solutions into complete vehicle systems and validate in flight test.
Key responsibilities include:
- Implementing robust sensor fusion techniques combining GNSS, IMU, LIDAR, radar, and camera data to improve navigation accuracy and resilience
- Rapidly testing, analyzing performance, and iterating on algorithm and flight control design in field environments
- Developing simulation and testing environments to evaluate localization solutions under various environmental conditions
- Designing fault-tolerant algorithms optimized for on-board compute constraints and robust operation in GNSS-denied scenarios
- Analyzing mission requirements across the Anduril product portfolio to determine optimal navigation and positioning system architecture
- Architecting and improving calibration procedures for sensor suites
- Providing technical leadership and mentorship to junior engineers
REQUIREMENTS:
Required:
- Experience developing, maintaining, or testing navigation/localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles, or similar applications
- Experience with Kalman filtering and other estimation techniques
- Strong problem-solving and analytical skills
- Strong communication skills and ability to break large problems into actionable parts
- Eligible to obtain and hold a U.S. Secret security clearance
- Willingness to travel up to 25%
Preferred:
- MS or PhD in Robotics, Computer Science, Applied Math, Physics, or related field
- Experience with Python, Rust, and Nix software development
- Experience with sensor calibration, sensor fusion, state estimation, and SLAM techniques
- Strong knowledge of navigation principles including inertial navigation, GPS, and aiding sources (vision-based navigation)
- Experience with regression testing using data replay from large datasets
- Experience processing sensor measurements from LIDAR, Electro-Optical sensors, Radar, or RF sensors
- Experience processing Inertial Measurement Unit data
- Experience with sensor characterization and modeling
- Experience with Linux and modern software development tooling
- Experience with CUDA and NVIDIA ecosystem
