Senior GNC EngineerActive$253K

Anduril Industries
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Remote · Seattle, Washington, United StatesManufacturing

The opportunity

The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems.

What you'll do

  • 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.

What they're looking for

  • Master’s Degree or PhD in a relevant technical field.
  • Experience with terrain contour matching (TERCOM) or other non-GPS absolute: localization methods utilizing diverse sensor inputs (e.g., LRF, Radar Altimeters, Star Trackers/Celestial Navigation).
  • Familiarity with diverse sensor modalities for navigation (e.g., IMU, Baro,: LRF, Radar Altimeters, EO/IR) and their specific noise characteristics and modeling.
  • Experience with distributed or collaborative navigation systems, leveraging inter-platform measurements.
  • Track record of successfully bringing complex algorithms from theoretical: concepts through to deployed products on physical hardware.
  • Proficiency with modern software development practices (e.g., CI/CD, Git, automated testing frameworks).
  • Demonstrated ability to "wear many hats" and thrive in a fast-paced,: high-impact, and highly collaborative startup environment.