NVIDIA’s AI Factories rely on advanced physics-based digital twins to design, validate, and optimize cooling infrastructure for the next generation of accelerated computing. We are seeking a PhD-level intern to drive R&D in single-phase and two-phase cooling digital twin development, creating high-fidelity SimReady assets and contributing to the next wave of intelligent AI Factory infrastructure.
What You Will Be Doing:
- Develop high-fidelity CFD and thermo-fluidic models for single-phase and two-phase cooling systems in data centers, including cold plates, immersion, air cooling, and facility liquid cooling systems.
- Build SimReady geometries and metadata for use in NVIDIA’s Omniverse platform using USD-based workflows.
- Use Cadence, ANSYS Fluent, STAR-CCM+, Flownex, or equivalent tools to build and validate digital twin components.
- Automate simulation workflows using Python, including parameter sweeps, sensitivity studies, multiphysics coupling, and surrogate model generation.
- Chip in to multi-domain digital twins spanning thermal, mechanical, electrical, and control systems.
- Integrate simulation data with Omniverse extensions and collaborate on R&D-grade digital twin workflows.
- Work with the entire NVIDIA Data Center Engineering (DCE) team across cooling, power, controls, and architecture.
- Validate simulations with lab and field data and define performance envelopes for cooling technologies.
What We Need to See:
- Pursuing PhD in Mechanical Engineering, Thermal Sciences, Computational Engineering, or closely related field.
- Solid understanding of thermofluid dynamics, single- and two-phase heat transfer, and data center cooling systems.
- Experience with CFD tools such as Cadence, Ansys Fluent, STAR-CCM+, or similar.
- Experience with flow network modeling tools such as Flownex.
- Strong programming ability in Python.
- Experience with USD, SimReady standards, or Omniverse workflows.
Ways to Stand Out from the crowd:
- Experience in two-phase digital twin modeling familiarity with predictive digital twins or integrating ML/AI with physics-based models.
- Experience developing custom Omniverse extensions or simulation automation tools.
- Publications or research in thermal management or digital twins.
NVIDIA is widely recognized as one of the technology industry’s most desirable employers, with some of the most forward-thinking and dedicated people in the world. If you’re creative, autonomous, and driven, we want to hear from you!
