Sentinel - Principal / Sr Principal Systems Engineer (GN&C) - 14845

Work in multi-disciplinary teams to develop, verify, and validate a complex 6-degree of freedom missile flight simulator. Design and implement guidance, navigation, and control (GN&C) algorithms. Develop software tools for analyzing GN&C performance? Conduct system performance assessments for performance against mission requirements. ? Perform GN&C system and accuracy analysis of flight tests. Principal): 8 years of experience with Bachelor's degree, 6 years of experience with master's degree, 4 years of experience with PhD. Experience in high level programming languages (MATLAB, C++) and Object-Oriented Programming design Ability to work in a highly collaborative & dynamic team-based environment 6 years of experience with Bachelor's degree, 4 years of experience with master's degree, 1 years of experience with PhD. An additional 4 years of experience can be considered in lieu of degree. Must have an active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need 4+ years' experience in guidance, navigation, or control algorithm development and/or analysis for launch vehicles, missiles, spacecraft, and/or aircraft applications Experience in high level programming languages (MATLAB, C++) and Object-Oriented Programming design Ability to work in a highly collaborative & dynamic team-based environment Master's or PhD Degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or related field. DoD Top Secret Clearance Experience in sensor navigation, including inertial, radio, and/or optical navigation techniques Experience in strategic missile guidance and implementation of guidance algorithms Experience in trajectory optimization, non-linear control, and/or adaptive/autonomous flight control systems Experience with optimal state estimation filters (e.g. Kalman) Knowledge of machine learning applications for adaptive flight control Demonstrated proficiency in MATLAB/Simulink, C/C++, Python, and/or other tools for GN&C simulation and development Demonstrated knowledge of aerodynamic modeling, flight mechanics, missile/re-entry vehicle dynamics Experience with hardware-in-the-loop (HWIL) testing, embedded control systems, and real-time software integration Experience in software version control system (i.e. Git) and continuous integration/continuous delivery (CI/CD) practices