Principal Aeroacoustics & Aerodynamics Engineer

This is a highly technical, hands-on role for someone who wants to solve difficult, multidisciplinary aerospace problems rather than incrementally improve established designs.

- Lead aerodynamic and aeroacoustic analysis and optimization of MagLev Aero’s rim-driven electric and hybrid ducted fan systems. - Model and predict fan, rotor, duct, and integrated propulsion-system aerodynamic and acoustic performance. - Develop designs that simultaneously optimize thrust, efficiency, noise, weight, and overall system performance. - Apply CFD, computational aeroacoustics, reduced-order modeling, optimization, and other advanced simulation methods. - Work with MAGGIE, MagLev Aero’s Multiphysics Aerospace Generative Graphical Inference Engine, and advanced AI tools to accelerate design exploration and optimization. - Develop and improve physics-based and data-driven models used within MagLev’s multidisciplinary design environment. - Correlate analytical and computational models with experimental and test data. - Define test requirements and work with engineering teams to validate aerodynamic and acoustic performance. - Collaborate closely with propulsion, electrical, mechanical, controls, motor, thermal, and systems engineers. - Identify unconventional technical approaches and translate them into designs that can be built, tested, and ultimately commercialized. - Serve as a technical authority in aerodynamics and aeroacoustics as MagLev advances its propulsion technology toward flight applications.

- Advanced degree in Aerospace Engineering, Mechanical Engineering, Acoustics, or a closely related field. PhD strongly preferred. - Deep expertise in aerodynamics and aeroacoustics, ideally involving propellers, fans, rotors, turbomachinery, ducted fans, eVTOL, or advanced propulsion systems. - Strong background in CFD and computational modeling of complex aerodynamic systems. - Experience predicting, analyzing, and reducing tonal and broadband aerodynamic noise. - Understanding of rotor-stator interactions, blade aerodynamics, duct acoustics, flow-induced noise, and propulsion-system integration. - Experience connecting simulation with physical testing and experimental data. - Strong programming, numerical modeling, and engineering-analysis capabilities. - Interest in applying AI, machine learning, optimization, and generative engineering methods to aerospace design. - Ability to operate independently and take technical ownership from initial concept through analysis, testing, and design iteration.

All your information will be kept confidential according to EEO guidelines.