Senior Simulation Data Engineer
Core
Build and operate the infrastructure for a research Data Factory that orchestrates high-fidelity multi-physics simulations (CFD/FEA) and delivers validated datasets to downstream ML training systems.
Role type
Senior Simulation Data Engineer (HPC & Data Infrastructure)
Builds
End-to-end simulation orchestration pipelines, data processing workflows, and validation systems for engineering design and manufacturing.
Domain
Deep-tech / AI-driven simulation for Aerospace, Defense, Materials, Energy, Semiconductors, and Automotive.
Deliverable
production ML models
Required skills
HPC engineering, data pipeline engineering, simulation orchestration (SLURM, Kubernetes, Temporal), Python, Linux systems engineering, cloud infrastructure (GPU/HPC), CFD/FEA background, geometry processing (mesh manipulation), scientific data formats (HDF5, VTK, NetCDF, Zarr), data quality engineering.
Preferred skills
CFD fundamentals, 3D geometry pipelines, ML data loading patterns.
Responsibilities
Extend and operate Data Factory infrastructure for thousands of daily CFD simulations; design job scheduling systems; build monitoring/alerting for simulation failures; build high-performance data pipelines from solver results to ML-ready data; implement geometry preprocessing and post-processing workflows; implement validation checks and quarantine bad data; deliver validated datasets to ML training infrastructure; design data versioning and cataloging systems.
Seniority
Senior, hands-on IC
