A successful candidate will have the qualities and essential functional expertise to:

Develop and execute multidisciplinary analysis and optimization (MDAO) studies for diverse air vehicle concepts using advanced problem-solving tools. Apply Python programming skills and proficiency with frameworks such as OpenMDAO for model integration and trade study automation. Implement and run trajectory optimization analyses utilizing tools such as Taos, Dymos, or similar platforms. Design and analyze systems architectures, supporting rapid assessment and iteration of concepts through trade studies and performance sensitivity analyses. Model aerodynamic, propulsion, and general vehicle subsystems (including sensors, warheads, etc.) to support end-to-end system simulation. Leverage statistical and gradient-based optimization techniques (e.g., SNOPT, IPOPT) to solve complex, constrained engineering problems. Communicate highly technical analysis findings and recommendations effectively to senior leaders and non-technical stakeholders. Collaborate with multidisciplinary teams to integrate analytical models and support program decision making. Exhibit excellent organization and leadership skills Demonstrate adaptability and eagerness to work on rapidly evolving projects and priorities. Be a self-starter with strong organizational skills and a collaborative mindset. Bachelor's degree with a minimum of five (5) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master's Degree with three (3) years of experience OR a PhD with one (1) year of experience Experience with setup and execution of Multi-Disciplinary Design Analysis and Optimization (MDAO) models Experience with aircraft or weapon design, layout, sizing and performance analysis tools Experience with MATLAB, Python, C++, ModelCenter, Linux and/or FORTRAN Strong foundation in systems architecture and rapid trade study analysis methods. Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.). Ability to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences. Citizenship and the ability to obtain a secret security clearance Bachelor's degree with a minimum of eight (8) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master's Degree with six (6) years of experience OR a PhD with four (4) years of experience Experience in Multi-Disciplined Optimization Methods Experience with setup and execution of Multi-Disciplinary Design Analysis and Optimization (MDAO) models Experience with aircraft or weapon design, layout, sizing and performance analysis tools Experience in System Design and Optimization Strong code development experience Experience with MATLAB, Python, C++, ModelCenter, Linux and/or FORTRAN Strong foundation in systems architecture and rapid trade study analysis methods. Proven Weapon Systems Modeling experience Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.). Ability to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences. Must have a U.S. Citizenship and the ability to obtain a secret security clearance. Current Active Secret clearance or higher with a Periodic Reinvestigation within the last five (5) years. Familiar with military aircraft or weapon design principles and tools