Navigation Fusion Engineer GPS-Denied

General Dynamics-posted about 2 months ago
Full-time • Mid Level
Hybrid • Fort Wayne, IN
5,001-10,000 employees
Professional, Scientific, and Technical Services
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We are seeking a highly skilled Navigation Fusion Engineer with expertise in Kalman filtering and cutting-edge sensor fusion techniques for GPS-denied environments. This role will contribute to the development and integration of navigation solutions for Unmanned Aerial Systems (UAS), Unmanned Ground Vehicles (UGV), and precision-guided munitions. You will design, implement, and optimize state estimation algorithms across a range of hardware and mission profiles.

  • Design and implement advanced sensor fusion algorithms using Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), and Nonlinear Observers.
  • Develop and refine tightly coupled and loosely coupled navigation solutions integrating IMU, odometry, vision (VIO/SVO), LiDAR, magnetometers, and barometers.
  • Evaluate and deploy factor graph-based SLAM and probabilistic inference frameworks (e.g., GTSAM, iSAM2) for persistent localization in GPS-denied environments.
  • Contribute to algorithm development for multi-sensor fusion frameworks, including Deep Learning-Augmented Inertial Navigation, event-based sensors, and semantic fusion.
  • Conduct performance evaluations under degraded or denied GNSS conditions, including urban canyons, subterranean, and electronic warfare environments.
  • Work cross-functionally with autonomy, guidance, perception, and embedded software teams.
  • Develop and support simulation frameworks (e.g., Gazebo, AirSim, ROS2) for testing navigation systems in virtual environments.
  • 10+ years of experience in navigation algorithm development with proven track record on deployed systems.
  • Expert in Kalman Filter variants (EKF, UKF, IEKF, Particle Filters) and modern Bayesian estimation methods.
  • Strong experience with GNSS-denied navigation techniques including: Visual-Inertial Odometry (VIO/SVO) LiDAR-Inertial Odometry (LIO) DVL integration (for maritime) Zero-velocity updates (ZUPT) for foot-mounted or stationary UGVs Cooperative Localization / SWaP-C-constrained fusion for munitions
  • Proficiency with C++ and Python in real-time or embedded systems.
  • Familiarity with ROS/ROS2, GTSAM, NavFusion engines like NavVis, u-blox, and VectorNav SDKs.
  • Experience in hardware-in-the-loop (HIL) testing and integration with real-time operating systems (RTOS).
  • Requires a Bachelors degree in Software Engineering, or a related Science, Engineering or Mathematics field. Also requires 10+ years of job-related experience, or a Master's degree plus 8 years of job-related experience.
  • Ability to obtain a Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
  • Experience with: Factor Graph optimization, graph-SLAM, and incremental smoothing (iSAM2) Deep learning-enhanced navigation (e.g., DeepVO, LSTM-IMU fusion) Event-based camera fusion Cold-start estimation and initialization robustness
  • Knowledge of STAN, BayesOpt, or GP-based estimation for adaptive sensor tuning.
  • Publications or patents in navigation, estimation theory, or multi-sensor fusion.
  • Agile experience preferred.
  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nations security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits
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