Aerodynamics Design Engineer

Benefits

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

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Weekend work

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About this role

Aerodynamics Design Engineer Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. Role Harmattan is seeking a highly skilled Aerodynamic Design Engineer to join our team in designing the next generation of unmanned aerial vehicles (UAVs). You will be the technical anchor for our flight physics, transforming mission profiles into optimised airframe configurations. You will bridge the gap between theoretical concepts and flight-ready hardware, working at the intersection of the Mechanical and Guidance, Navigation, and Control (GNC) teams to ensure our platforms are high-performing, stable, and manufacturable. Responsibilities - Conceptual Design & Architecture: Lead the aerodynamic layout for fixed-wing, multicopter, and eVTOL configurations. Translate mission requirements (range, speed, payload) into technical specifications. - Multi-fidelity analysis: Develop and utilize a full spectrum of numerical methods for analysis, ranging from rapid analytical/empirical methods to high-fidelity CFD, including potential and/or panel methods. - End-to-End CFD Workflow: Execute the full simulation pipeline: geometry cleanup, meshing, solver execution, and post-processing. - Optimization: Apply gradient-based or adjoint methods to refine surfaces for drag reduction and maximum

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