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 www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

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.

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