CFD Mechanical Engineer II

External Job Description

This is an exciting opportunity to work on a clean-sheet turbofan programme using state-of-the-art simulation tools and advanced engineering methodologies.

Key Responsibilities

• Perform CFD analyses to support the aerodynamic and aerothermal design of turbofan engine components and subsystems.
• Optimise airflow performance across engine modules including inlet, fan, booster, compressors, combustor, high- and low-pressure turbines, and secondary air systems.
• Evaluate aerodynamic losses, efficiency, operability, surge margins, pressure ratios, and cooling effectiveness.
• Conduct whole-engine integrated flow analyses to support engine and aircraft integration.
• Support multidisciplinary design optimisation and assess the impact of design changes on engine performance.
• Develop and improve CFD methodologies, simulation workflows, and automated reporting tools.
• Correlate simulation results with rig and engine test data to improve model accuracy.
• Prepare technical reports, present findings during design reviews, and provide recommendations to engineering teams.
• Identify technical risks and propose mitigation strategies throughout the product development lifecycle.
  
  

• Master's degree or PhD in Aerospace Engineering, Turbomachinery, Fluid Dynamics, or a related discipline.
• Minimum 7 years' experience performing CFD analysis within aerospace propulsion, gas turbines, or turbomachinery.
• Strong understanding of compressor and turbine aerodynamics, turbulence modelling, heat transfer, and multidisciplinary optimisation.
• Experience supporting engine performance analysis and aerodynamic design.
  
  

• Proficiency with CFD software such as ANSYS Fluent, STAR-CCM+, OpenFOAM, or equivalent.
• Experience with meshing tools including ICEM CFD and TurboGrid.
• Knowledge of Python, MATLAB, and HPC computing environments for automation and post-processing.
• Experience with automated simulation workflows and design optimisation.
• Awareness of emerging technologies, including AI-assisted engineering and digital design methods.
• Excellent analytical, communication, and technical presentation skills.
• Ability to work collaboratively within multidisciplinary engineering teams while managing multiple priorities.