eVTOL Aerodynamics Engineer

About the role

You will join an eVTOL aircraft company to own the aerodynamic performance of a powered-lift vehicle that must hover efficiently, transition smoothly, and cruise fast. This team builds the aerodynamic databases every other discipline depends on, from the flight controls group to the performance and certification analysts. Your predictions shape wing sizing, propulsor placement, and the transition corridor pilots will fly, and flight test will grade your work. You will collaborate daily with the flight controls and performance teams, and your databases will flow directly into the simulators where test pilots first meet the aircraft.

What you will achieve

• Deliver CFD-validated aerodynamic databases for hover, transition, and cruise that the flight controls team builds its control laws on with confidence.
• Optimize wing and propulsor placement to cut cruise drag by a measurable margin while preserving hover download efficiency and transition stability.
• Plan and execute wind tunnel campaigns that validate transition corridor predictions within agreed tolerances, from force balances to flow visualization.
• Quantify rotor-wing and rotor-rotor interaction effects, turning interactional aerodynamics from a program risk into a characterized design input.
• Reduce aerodynamic uncertainty margins through the program, unlocking weight and performance as flight and tunnel data validate your predictions. Every margin reduction is documented in the aerodynamic substantiation reports the certification team relies on for compliance findings.

What you will bring

Must-haves

• 2 to 5 years in applied aerodynamics for rotorcraft, fixed-wing aircraft, or eVTOL vehicles with validated predictions behind you.
• Strong CFD skills, including meshing strategy, turbulence modeling choices, and rigorous validation against test data.
• Understanding of powered-lift aerodynamics, including download, fountain effects, and the physics of transition between hover and wing-borne flight.
• Experience planning or executing wind tunnel test campaigns, from model design through data reduction.
• Proficiency with tools such as Star-CCM+, Ansys Fluent, or XFOIL, plus scripting in Python or MATLAB for automation.
• Degree in aerospace engineering or equivalent applied aerodynamics depth.

Nice-to-haves

• Rotorcraft comprehensive analysis experience with tools like CAMRAD, RCAS, or NDARC.
• Flight test data correlation background, closing the loop between prediction and measured performance.
• Knowledge of aeroacoustic prediction methods for propeller noise.
• Experience with stability and control derivative extraction for flight dynamics models.