The successful candidate shall have experience with guidance algorithms (proportional navigation, pursuit guidance, optimal guidance, intercept geometry), navigation & estimation, Kalman filtering (EKF/UKF), inertial navigation, GPS/INS integration, sensor fusion, control engineering, PID, LQR, state space control, autopilot design, stability & robustness analysis, M&S (Modeling & Simulation), MATLAB/Simulink, Python (NumPy/SciPy), C/C++ for embedded or real time simulation, and familiarity with 6 DOF modeling.• • Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, or related discipline or a Master’s degree (preferred) with coursework such as Modern Control Systems, Modern (or Optimal) Control Theory, MIMO Control, Linear Systems Theory, Robotics, [Optimal] State Estimation, or courses with Sensing, Navigation, Localization, or Mapping in the name.