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General Dynamics · 2 months ago

Navigation Fusion Engineer – GPS-Denied

USA-CO-Colorado Springs

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

General Dynamics is a leading company in high technology solutions for defense and scientific arenas. They are seeking a highly skilled Navigation Fusion Engineer to develop and integrate navigation solutions for unmanned systems in GPS-denied environments, utilizing advanced sensor fusion techniques and algorithms.

AerospaceNational SecurityPublic Transportation

No H1B

Security Clearance Required

U.S. Citizen Only

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

Kalman Filter variantsGNSS-denied navigationC++PythonSensor fusion techniquesROS/ROS2 familiarityHardware-in-the-loop testingAgile experiencePublicationsPatents

Required

Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering 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)