Aero Propulsion Designer - AI-Driven CFD Specialist

Airbus Aircraft

Toulouse

Sur place

EUR 45 000 - 65 000

Plein temps

Il y a 30 heures
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Résumé du poste

Airbus Operations SAS in Toulouse is seeking an Aerodynamics Propulsion Designer (f/m) to join our aerodynamic engineering team. You will design propulsion components, apply AI to propulsion problems, and run advanced CFD simulations to build robust aerodynamic data.

The role demands at least 2 years in aerospace, strong CFD and CATIA skills, and a proven ability to integrate AI methods into engineering workflows.

Qualifications

  • Minimum 2 years of hands-on experience in aerospace or related industrial engineering sectors.
  • Solid technical proficiency in aerodynamics and aerodynamic surface design.
  • Proven hands-on experience applying CFD tools to aerospace aerodynamic configurations.
  • Working knowledge of CAD software (strong preference for CATIA).
  • Demonstrated practical capability or strong proven background in applying AI techniques to engineering workflows.

Responsabilités

  • Design and refine aerodynamic shapes for propulsive components including inlets, nacelles, nozzles, and pylons.
  • Develop and apply artificial intelligence techniques to solve aerodynamic propulsion design problems.
  • Perform advanced CFD simulations and generate complete aerodynamic datasets across steady and unsteady regimes.
  • Deliver verified aerodynamic performance, handling qualities, and loads data under strict TCQ (time, cost, quality) standards.
  • Contribute to evolving aerodynamic methods, toolsets, and digital design workflows for future aircraft programs.

Connaissances

Aerodynamics
CFD simulations
CATIA
AI in engineering
Aerospace experience

Outils

CFD tools
CATIA

Description du poste

Airbus Operations SAS in Toulouse is seeking an Aerodynamics Propulsion Designer (f/m) to join our aerodynamic engineering team. You will design propulsion components, apply AI to propulsion problems, and run advanced CFD simulations to build robust aerodynamic data.

The role demands at least 2 years in aerospace, strong CFD and CATIA skills, and a proven ability to integrate AI methods into engineering workflows.

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