CFD Engineer

Key Responsibilities

Plan execute and document CFD studies for turbocharger components (compressor wheel turbine wheel volutes VTG bearing housing flow) including compressible transient and conjugate heat transfer cases.

Select appropriate physical models (RANS/URANS/SBES/LES turbulence sliding mesh/mixing plane) and verify grid/time-step independence with sound y management and GCI methodology.

Set up automated pre/solve/post pipelines (Python/bash) parameter sweeps and design-of-experiments; maintain version-controlled templates and reports.

Correlate simulation results to hot-gas-stand measurements; drive root-cause analyses and propose design countermeasures.

Perform optimization against efficiency pressure ratio surge margin and NVH constraints across multiple operating points.

Support forced response analysis / structural risk assessment through CFDFEA coupling in collaboration with structural analysis.

Collaborate cross-functionally with platform owners validation and application teams; contribute to internal best-practice guides and knowledge bases.

Communicate results clearly to technical and non-technical audiences including gate reviews and customer meetings as required.

Required Qualifications

Masters degree (or higher) in Mechanical/Aerospace Engineering or similar with focus on turbomachinery/fluids.

3 years of hands-on CFD experience for rotating machinery with compressible aerodynamics (shock/expansion tip leakage stall/choke).

Proficiency with Ansys CFX/Fluent and/or STAR-CCM and/or OpenFoam; strong meshing skills CAD interfaces (Creo/NX/CATIA).

Scripting/automation in Python; batch/scheduler usage; Git-based version control.

Demonstrated test correlation experience (hot-gas-stand/compressor & turbine map) uncertainty analysis and robust reporting.

Professional English communication skills (written and verbal).

Preferred Qualifications

Experience with wheel and volute optimization

Background in turbo integration thermal management and materials

Acoustics (broadband/tonal) and 1D3D co-simulation for pulsating turbine inflow.

Exposure to forced response workflows (CFDFEA) and durability risk screening.

Data-driven methods/ML surrogates for rapid map prediction and design space exploration.

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