General Dynamics Mission Systems ยท 1 week ago
Navigation Fusion Engineer GPS-Denied
General Dynamics Mission Systems is 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) and Unmanned Ground Vehicles (UGV).
AerospaceBusiness Information SystemsInformation ServicesInformation TechnologyNational SecuritySensor
Responsibilities
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
Qualification
Required
Requires a Bachelors degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field
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
U.S. citizenship is required
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)
Preferred
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
Benefits
401k matching
Flex time off
Paid parental leave
Healthcare benefits
Health & wellness programs
Employee resource and social groups
Company
General Dynamics Mission Systems
General Dynamics Mission Systems designs and delivers critical systems and products for defense and cybersecurity customers. It is a sub-organization of General Dynamics.
Funding
Current Stage
Late StageRecent News
2025-11-09
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