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Staff Multidisciplinary Design Analysis and Optimization (MDAO) Engineer (AHT)

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Job Description - Staff Multidisciplinary Design Analysis and Optimization (MDAO) Engineer (AHT)

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. Support the MDAO team leader by identifying the scope required to meet all project requirements, with a focus on efficiency and operational availability. Validate schedule and staffing estimates for MDAO project activities. Cooperate and communicate status effectively with the MDAO team leader to provide them with assistance and technical support. 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 twelve (12) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master's Degree with ten (10) years of experience OR a PhD with eight (8) years of experience Experience with aircraft or weapon design, layout, sizing and performance analysis tools with 6 -DOF simulations Strong code development on Linux/Windows using MATLAB, scientific Python (e.g., numpy, scipy), C++ 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.). Strong communication skills to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences. Ability to obtain a US Government Secret security clearance Current Active Secret clearance or higher with a Periodic Reinvestigation within the last five (5) years. Proven Weapon Systems Modeling experience Familiar with military aircraft or weapon design principles and tools Experience in aircraft and missile conceptual design that encompasses a full understanding of aerodynamics, mass properties (weigh, balance), propulsion, power, and flight controls across the range of expected flight conditions. Experience as a technical lead
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