Gnc Engineer

Anduril Anduril · Defense · Seattle, WA · Tactical Recon & Strike

This role focuses on developing and implementing advanced GPS-denied navigation algorithms, including vision-based navigation and sensor fusion, for autonomous defense platforms. The engineer will design, implement, validate, and analyze these algorithms from concept to flight testing, collaborating with other teams and mentoring junior engineers. Experience with Kalman filters, C++/Python, and real-time embedded systems is required.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • C++
  • Python
  • Kalman filters (EKF, ES-EKF, UKF, Invariant Filters)
  • Vision-Based Navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow)
  • Map matching/geo-registration algorithms
  • Modeling and simulation of dynamic systems and sensor phenomenology
  • Real-time embedded systems implementation
  • Algorithm validation and debugging

Nice to have

  • Aerospace Engineering
  • Robotics
  • Electrical Engineering
  • Computer Science
  • Physics
  • Dynamic systems
  • Control theory
  • Hardware-in-the-Loop (HIL) testing
  • Collaborative navigation
  • Precision landing
  • Terminal guidance

What the JD emphasized

  • GPS-denied navigation
  • vision-based navigation
  • sensor fusion
  • state estimation
  • algorithm development
  • flight testing
  • real-time embedded environments

Other signals

  • autonomous platforms
  • GPS-denied navigation
  • vision-based navigation
  • sensor fusion
  • state estimation