AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff

Position Description

Group 74 is seeking engineers with a combination of artificial intelligence / machine learning (AI/ML) algorithm development and engineering modeling expertise, e.g., fluid, structural, or thermal modeling. Our engineers support a broad range of simulation, design, optimization, and test activities, and we develop innovative simulation capabilities to solve challenging engineering design problems across a broad array of applications ranging from low-speed aircraft to hypersonic systems and satellite design. The Group employs machine learning methods within its modeling suite to achieve significant improvements in physics-based simulation, such as for aerodynamic analysis, to accelerate conceptual design. We seek engineers who are excited to contribute to these efforts by enhancing existing methods and implementing new cutting-edge AI/ML techniques to enable rapid and accurate concept design for a diverse set of complex and multidisciplinary problems. This position offers opportunities to contribute to cutting-edge research, collaborate with leading experts, and develop innovative solutions to complex engineering challenges.

The successful candidate will be part of an interdisciplinary engineering team contributing to the development of operational prototype hardware, spanning the full program life cycle from concept development to fielding and testing. The position may require special security clearances and travel to meetings and field sites.

Minimum Qualifications

• M.S. in Aerospace Engineering, Mechanical Engineering, Computer Science, or related. Candidates with B.S. degree with three years’ experience will also be considered.
• Experience developing and applying novel artificial intelligence and machine learning algorithms to solve engineering or scientific applications, such as through physics-informed machine learning, data-driven surrogate modeling, reinforcement learning, or agentic AI.
• Proficiency in C++, Python, MATLAB, or similar for algorithm development and software integration.
• Experience applying engineering software to design and analysis, e.g., fluid, structural, or thermal simulations.
• Ability to work within an interdisciplinary team.
• Ability to clearly communicate results in oral presentations and written reports.

Preferred Qualifications

• Experience with high-performance computing (HPC) environments for large-scale simulations
• Experience implementing multidisciplinary design optimization (MDO) frameworks.
• Familiarity with software development best practices, including version control (e.g., Git).