Senior GNC Engineer
Anduril· Tactical Recon & Strike
Seattle, WA$191k - $253kfull-timePosted 4mo ago
About the role
Senior algorithm-focused role developing GPS-denied navigation, vision-based navigation, and sensor fusion for autonomous platforms. Central architect shaping Anduril's navigation stack with rapid field testing across diverse platforms.
Responsibilities
- Design, implement, and rigorously validate advanced GPS-denied navigation algorithms, including Vision-Based Navigation (VBN), advanced Map Matching, and high-fidelity sensor fusion for state estimation.
- Drive ground-up algorithm development from theoretical concepts through high-fidelity simulation, Hardware-in-the-Loop (HIL) testing, and rapid flight validation on multiple physical hardware platforms.
- Collaborate intimately with Computer Vision, Flight Software, and Simulation teams to define requirements, integrate solutions, and push the boundaries of autonomous navigation in contested environments.
- Analyze extensive flight test data from diverse platforms (e.g., Altius, Ghost, manned aircraft) collected across varied, challenging environments to identify performance gaps, refine algorithms, and debug complex incidents.
- Contribute strategically to the growth of Anduril's technical moat in navigation, including areas like collaborative navigation and precise terminal guidance for challenging operational scenarios.
- Mentor junior engineers and champion best practices in algorithm design, validation, and continuous integration within a fast-paced, high-impact environment.
Qualifications
- Bachelor’s degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Physics, or a related technical field with a strong focus on dynamic systems, estimation, or control.
- 8+ years of professional experience in GNC, localization, or advanced state estimation roles, preferably in demanding real-world applications (e.g., defense, aerospace, robotics).
- Deep expertise in state estimation and sensor fusion, particularly with various Kalman filter types (e.g., EKF, ES-EKF, UKF, Invariant Filters) and their practical implementation.
- Proficiency in C++ (preferred) and/or Python for algorithm development and real-time embedded systems implementation.
- Extensive experience with vision-based navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow) or robust map matching/geo-registration algorithms.
- Proven ability to develop, test, and debug algorithms in real-time embedded environments on physical hardware.
- Experience with modeling and simulation of dynamic systems and sensor phenomenology.
- Eligible to obtain and maintain an active U.S. Secret security clearance.
Skills
Required:Vision-Based Navigation (VBN)Kalman Filter VariantsSensor FusionC++
Nice to have:Python
Benefits
- top-tier benefits for full-time employees, including health, recovery, and other benefits (details via Explore Our Benefits)
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Anduril
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