Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
What you'll do:
Navigation System Architecture & Design:
Establish navigation performance requirements and error budgets for safety-critical applications Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components Design detailed software architecture for state estimation implementations, including module interfaces and data flow Algorithm Development & Implementation:
Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems Implement integrity monitoring and protection level calculations for safety-critical operations Certification & Verification:
Develop verification and validation test plans for navigation algorithms onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation Document navigation system design, requirements allocation, and compliance evidence Support safety assessment activities including failure modes and effects analysis Technical Leadership:
Provide technical guidance on navigation architecture and state estimation approaches Support trade studies evaluating navigation sensor suites and fusion strategies Mentor junior engineers on state estimation theory and implementation Required qualifications:
MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field
15+ years of experience developing state estimation algorithms for aerospace navigation applications Demonstrated experience implementing GNSS/INS integration solutions Experience with safety-critical system development and certification processes Deep understanding of state estimation theory Experience implementing multi-sensor fusion algorithms in production systems Strong background in inertial navigation, GNSS positioning, and sensor error modeling Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis Understanding of integrity monitoring, protection levels, and safety assessment methods Experience with requirements management and verification/validation processes for certifiable systems Understanding of GPS/GNSS signal structure, error sources, and performance characteristics Knowledge of IMU error models, calibration, and Allan variance analysis Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.) Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)Preferred qualifications:
PhD in relevant field with focus on state estimation or navigation Direct involvement in certified navigation system development from requirements through flight test Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.) Publications or patents in navigation or state estimation Experience with GPS/GNSS jamming and spoofing mitigation techniques Clearance eligible or active security clearance