Sr. Staff Engineer, GNC - BlueSky (R5798)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit [](https://shield.ai/). Follow Shield AI on [LinkedIn](https://www.linkedin.com/company/shield-ai), [X](https://x.com/shieldaitech), [Instagram](https://www.instagram.com/shield_ai), and [YouTube](https://www.youtube.com/@Shield_AI). The Guidance Navigation Control engineering team focuses on researching and developing state-of-the-art algorithms that drive high-performance flight for a blue-sky project.. As a GNC Engineer on this team, you’ll work on an agile team grounded in first principles to push the boundaries of the state-of-the-art. Required Qualifications: - BS in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control Systems - Minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience in the area of vehicle dynamics modeling, flight controls, or simulation. - Experience with C++ in a production environment - Experience with Matlab and Simulink - Expert knowledge of aircraft dynamics and control, stability, and handling qualities - Experience tuning and optimizing control systems in simulation and real-world - Passion for solving complex problems in a fast-moving environment - Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others - Ability to obtain a SECRET clearance Preferred Qualifications: - MS or PhD in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control Systems - Experience with Modern Control Theory, e.g. LQR/LQG, Adaptive Control, Robust Control, Model Predictive Control (MPC), etc. - Proficient with extracting linear aircraft state space models from nonlinear equations of motion - Proficient with design or selection of servos, inertial navigation systems, air data units, vision-based navigation systems - Familiarity with Kalman Filters - Familiarity with system identification techniques - Familiarity with git, continuous integration & delivery, etc.