Senior CFD Solver Developer - High-Order Methods & CUDA

Prediqtt; Brussel Hoofdstad; On-site; EUR 80,000 - 120,000; Full time

Job summary

PrediQT Technologies is hiring a senior CFD solver developer to join our R&D team in Brussels, focused on scale-resolved CFD for turbomachinery. You will extend our high-fidelity solver, implement GPU-accelerated kernels in C++ and CUDA, and verify numerical developments against challenging turbomachinery cases.

The role requires deep expertise in high-order methods, parallel solvers and performance optimization, with opportunities to publish scientific results and contribute to a growing

Qualifications

• PhD or equivalent research in CFD or closely related field.
• Hands-on experience with scale-resolved CFD codes.
• Experience with discretization schemes, solvers, parallelization and performance optimization.
• Exceptional candidates with equivalent research-level experience may be considered.
• Comfort moving from numerical formulation to high-performance C++/CUDA implementation.

Responsibilities

• Extend PrediQT’s scale-resolved CFD solver toward turbomachinery applications, including multi-stage configurations.
• Design, implement and optimize native GPU kernels and solver components in modern C++ and CUDA.
• Verify and validate new developments on canonical CFD benchmarks and turbomachinery cases.
• Contribute to scientific publications and represent PrediQT at leading CFD conferences.
• Write clear technical documentation and verification reports.

Skills

High-order CFD

C++ programming

CUDA programming

Scale-resolved CFD

GPU architecture knowledge

Python tooling

Education

PhD in CFD or related field

Tools

CUDA

Kokkos

MPI

OpenMP

OpenACC

Job description

PrediQT Technologies is hiring a senior CFD solver developer to join our R&D team in Brussels, focused on scale-resolved CFD for turbomachinery. You will extend our high-fidelity solver, implement GPU-accelerated kernels in C++ and CUDA, and verify numerical developments against challenging turbomachinery cases.

The role requires deep expertise in high-order methods, parallel solvers and performance optimization, with opportunities to publish scientific results and contribute to a growing