Flight Physics MDAO Engineer – CFD & Design Optimization

Airbus; Toulouse; On-site; EUR 70,000 - 110,000; Full time

Job summary

Airbus is seeking a Flight Physics MDAO Developer in Toulouse to lead multidisciplinary optimization activities for aircraft design. You will perform end-to-end 3D aerodynamic simulations (RANS) and contribute to parameterization, surrogate modeling and DoE strategies.

Join a cross-functional, international team (Europe, India, Canada) to advance design-first engineering, automation on HPC/AWS, and high-fidelity workflow optimization.

Qualifications

• 3+ years of relevant industry experience in developing mono- or multidisciplinary optimization capabilities for Overall Aircraft Design.
• Hands-on mastery of 3D CFD aerodynamic simulations (RANS).
• Practical experience with MDAO frameworks (GEMSEO, OpenMDAO, or ModelCenter) and Python programming.
• Strong knowledge of Design of Experiments (DoE), gradient-based/gradient-free optimization, and OAD sizing/weight constraints.
• Familiarity with HPC job scheduling, cloud infrastructures (AWS), Git version control, and process automation.

Responsibilities

• Develop and demonstrate Multidisciplinary Design Optimization (MDAO) capabilities for Overall Aircraft Design perimeters.
• Execute end-to-end 3D aerodynamic simulations from shape parameterization to RANS CFD execution and post-processing.
• Collaborate in an agile cross-functional team across Europe, India, and Canada to solve complex design problems.
• Drive Systems Thinking and Design-First engineering principles to ensure optimal design constraint handling from day one.
• Automate complex high-fidelity simulations on HPC and AWS Cloud environments using parallel processing.

Skills

Python programming

3D CFD simulations

MDAO concepts

DoE

Gradient-based optimization

Tools

GEMSEO

OpenMDAO

ModelCenter

AWS

Git

Job description

Airbus is seeking a Flight Physics MDAO Developer in Toulouse to lead multidisciplinary optimization activities for aircraft design. You will perform end-to-end 3D aerodynamic simulations (RANS) and contribute to parameterization, surrogate modeling and DoE strategies.

Join a cross-functional, international team (Europe, India, Canada) to advance design-first engineering, automation on HPC/AWS, and high-fidelity workflow optimization.