Sr. Staff Engineer, GNC - BlueSky (R5798)

Sr. Staff Engineer, GNC - BlueSky (R5798) at Shield AI scores 19 out of 100 on AI centrality, which makes it a Level 1 role on this board.

Remote (Los Angeles, California)leadFull Time Employee$173k-$250k

AI in this role

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.