Anduril Industries is seeking a skilled navigation, localization, and positioning leader to design and implement Inertial Navigation Systems (INS) and leverage sensor fusion algorithms for precise navigation of robotic vehicles.
Requirements
- Master's or PhD degree in Aerospace Engineering, Electrical Engineering, Computer Science, Robotics or a related field
- Currently contributes to C++ or Rust projects in a Linux development environment
- Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application
- Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques
- Strong knowledge of navigation principles, including inertial navigation, GPS, and other sensors such as star trackers
- Experience with navigation, localization, and positioning systems design and development
- Deep expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques
Responsibilities
- Design and develop algorithms for real-time navigation, path planning and obstacle avoidance systems
- Implement sensor fusion techniques to integrate data from multiple sensors
- Develop simulation and testing environment to evaluate the performance of Navigation and Localization solutions
- Optimize and design fault tolerant algorithms for computational efficiency and robustness
- Analyze mission requirements and constraints across the Anduril product portfolio
- Drive evaluation and integration of advanced alternative navigation aiding sources
- Design, develop, integrate and test inertial navigation systems (INS), GNSS products, visual navigation, and other related technologies
Other
- Must be eligible to obtain and hold a US DoD Security Clearance
- Relocation benefits provided for Costa Mesa, CA location
- Strong problem-solving and analytical skills
- Experience applying covariance analysis techniques to optimize navigation system performance, error modeling, and system uncertainty assessments, and requirements methods
