Simulation Engineer (CFD) - Large Physics Models
Core
Generate simulation data for training large-scale ML models and develop numerical solvers to combine physics-based simulation with machine learning.
Role type
Research Simulation Engineer (CFD)
Builds
Data corpus for Large Physics Models and numerical solvers
Domain
Aerospace & defence, automotive, semiconductors, materials, energy & renewables
Deliverable
production ML models
Required skills
CFD simulation, numerical solvers/PDE solvers, JAX, NVIDIA Warp, commercial CFD tools (Simcenter STAR-CCM+, Ansys Fluent), multi-fidelity data analysis
Preferred skills
OpenFOAM, ML/surrogate model development
Technologies
JAX, NVIDIA Warp, Simcenter STAR-CCM+, Ansys Fluent, OpenFOAM
Responsibilities
Generate simulation data for training large-scale ML models, Develop and implement solvers and numerical methods, Work with multi-fidelity data to understand tradeoffs, Use commercial and open-source CFD tools to produce reference data, Collaborate with ML researchers to translate between physics and models, Contribute to technical direction of data generation work
Seniority
Mid-level, hands-on IC
