Position SummaryThe selected candidate will contribute to the design, analysis, simulation, verification, and testing of guidance, navigation, and control algorithms used in high-performance flight systems.
The ideal candidate possesses strong analytical skills and experience developing mathematical models, flight simulations, navigation solutions, and control algorithms for aerospace applications.
Responsibilities- Develop and analyze guidance, navigation, and control algorithms.
- Perform trajectory analysis and mission performance assessments.
- Develop and maintain simulation environments supporting system design and verification.
- Conduct Monte Carlo analyses and sensitivity studies.
- Support flight dynamics modeling and system performance evaluations.
- Analyze navigation sensor performance and state estimation solutions.
- Support HWIL and SWIL integration and testing activities.
- Participate in flight test planning, execution, and post-flight analysis.
- Develop technical reports, verification documentation, and engineering assessments.
- Support system requirements development and verification activities.
Required Qualifications- Bachelor's degree in aerospace engineering, Mechanical Engineering, Applied Mathematics, Physics, or related discipline.
- Minimum 5 years of relevant experience.
- Experience developing GNC algorithms or aerospace simulation models.
- Strong knowledge of flight dynamics and control theory.
- Experience with MATLAB, Simulink, Python, or similar engineering tools.
- Strong analytical and problem-solving skills.
- Ability to communicate complex technical concepts clearly.
- U.S Citizen
Desired Qualifications- Master's degree in aerospace engineering or related field.
- Active Secret Clearance.
- Experience with missile, hypersonic, space, launch vehicle, or aviation programs.
- Experience developing navigation filters, state estimation algorithms, or autonomous control systems.
- Experience supporting flight testing and hardware-in-the-loop environments.
- Familiarity with 6-DOF simulation environments.
