Flight Physics MDAO Developer: CFD & Python

Airbus; Goyrans; On-site; EUR 70,000 - 105,000; Full time

Benefits offered by this job

Attractive salary

Profit sharing

Employee savings plan

Upskilling opportunities

Mobility across Europe

Health insurance

Job summary

Airbus Toulouse-based team seeks a Flight Physics MDAO Developer to advance multidisciplinary design optimization for next‑gen aircraft. You will help accelerate the design process by creating integrated workflows spanning aerodynamics, structures, and propulsion.

Requirements include hands-on 3D CFD (RANS), shape parameterization, surrogate modeling, and proficiency with GEMSEO/OpenMDAO/ModelCenter and Python.

Qualifications

• 3+ years of industry experience in developing mono- or multidisciplinary optimization for aircraft design.
• Hands-on mastery of 3D CFD aerodynamic simulations (RANS), shape parameterization, and surrogate modeling.
• Experience with MDAO frameworks (GEMSEO, OpenMDAO, ModelCenter) and Python programming.
• Strong knowledge of DoE, gradient-based/gradient-free optimization, and sizing constraints.
• Familiarity with HPC scheduling, cloud infrastructure (AWS), Git, and process automation.

Responsibilities

• Develop and demonstrate Multidisciplinary Design Optimization capabilities for overall aircraft design perimeters.
• Execute end-to-end 3D aerodynamic simulations from parameterization to RANS CFD and post-processing.
• Collaborate in an agile cross-functional team across Europe, India, and Canada.
• Drive Systems Thinking and Design-First engineering to ensure optimal constraint handling from day one.
• Automate high-fidelity simulations on HPC and AWS Cloud environments.

Skills

Multidisciplinary optimization

CFD (RANS)

Shape parameterization

Surrogate modeling

MDAO frameworks

Python programming

DoE

Gradient-based optimization

HPC / AWS

Git version control

Tools

GEMSEO

OpenMDAO

ModelCenter

Python

AWS

Job description

Airbus Toulouse-based team seeks a Flight Physics MDAO Developer to advance multidisciplinary design optimization for next‑gen aircraft. You will help accelerate the design process by creating integrated workflows spanning aerodynamics, structures, and propulsion.

Requirements include hands-on 3D CFD (RANS), shape parameterization, surrogate modeling, and proficiency with GEMSEO/OpenMDAO/ModelCenter and Python.