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Niche aerospace control and flight-test expertise reduces qualified candidate density.
Highly domain-specific aerospace controls and flight-test skills limit transferability across industries.
Requires specialized control theory, flight-dynamics, Kalman filtering, MATLAB/Simulink, and flight-test experience.
Develop and improve control algorithms to enhance aircraft response and trajectory tracking accuracy in challenging wind conditions.
Analyze system behavior to identify and resolve issues like oscillations, overshoot, drift, instability across various flight conditions.
Lead control strategy development from modeling and simulation through implementation, tuning, and real-world flight testing.
Strong knowledge of control theory including PID, LQR/LQG, MPC, and filtering/state estimation techniques such as Kalman Filters and observers.
Experience with flight dynamics including 6-DOF, stability, damping, and control system analysis.
Proficiency with MATLAB/Simulink, Python, C/C++, and flight dynamics simulation or SITL/HIL testing environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in hands-on control algorithm development, system tuning, and flight data analysis for autonomous fixed-wing aircraft or similar.
Comfortable working closely with flight dynamics, embedded systems, and flight test teams in an iterative improvement environment.
Background in flight controls, GNC, autonomous systems, UAVs, or similar fields with practical or research experience in real-world control system deployment and flight test validation.