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. The Engineer will directly support government technical leads and collaborate with associated subsystem SMEs to deliver analytical rigor, modeling capability, and engineering insight into guidance, navigation, and control solutions used in government test and evaluation environments.