- London
- Hybrid · 2–3 days in office
- Mid-level
Build the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develop solvers in differentiable or GPU-native frameworks like JAX or Warp, using commercial and open-source CFD tools, while collaborating closely with ML researchers in a research team.
JAX · NVIDIA Warp · OpenFOAM +2