Senior GNC Engineer - Flight Controls & Autonomy

Shieldai; Los Angeles (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI in the United States is seeking a Guidance Navigation and Control Engineer to advance flight control algorithms for high-performance autonomous aircraft. You will work on an agile team grounded in first principles to push the state-of-the-art.

You will apply controls theory, model-based design, and real-world testing to improve vehicle dynamics, stability, and responsiveness while collaborating across engineering disciplines and maintaining security-clearance readiness.

Qualifications

• BS in relevant engineering with a focus on control systems.
• 7+ years with degree; or 6 years with MS; or 4 years with PhD in vehicle dynamics, flight controls, or simulation.
• Experience with C++ in production environment.
• Experience with Matlab and Simulink.
• Expert knowledge of aircraft dynamics, control, stability, and handling qualities.
• Experience tuning and optimizing control systems in simulation and real-world.
• Strong communication, trustworthy teammate, and collaborative mindset.
• Ability to obtain SECRET clearance.

Responsibilities

• Research and develop state-of-the-art GNC algorithms for high-performance flight.
• Work on an agile team grounded in first principles to push the boundaries.
• Translate control theory to flight hardware/software and test for real-world scenarios.
• Collaborate across engineering disciplines and maintain security-minded practices.

Skills

C++

Matlab/Simulink

Flight Controls

Aircraft Dynamics

Control Systems Tuning

Communication Skills

Education

Bachelor's degree in Aerospace/Aeronautical/Mechanical/Electrical or Software Engineering (Control Systems focus)

MS or PhD preferred in related field

Tools

Git

CI/CD

Simulink Modeling

Job description

Shield AI in the United States is seeking a Guidance Navigation and Control Engineer to advance flight control algorithms for high-performance autonomous aircraft. You will work on an agile team grounded in first principles to push the state-of-the-art.

You will apply controls theory, model-based design, and real-world testing to improve vehicle dynamics, stability, and responsiveness while collaborating across engineering disciplines and maintaining security-clearance readiness.