NVIDIA

AI Factory Digital Twin R&D Intern, Single & Two-Phase Cooling Systems - Summer 2026

Job Description

Posted on: 
2026-01-09

Responsibilities

  • Develop high-fidelity CFD and thermo-fluidic models for cooling systems.
  • Build SimReady geometries and metadata for NVIDIA’s Omniverse platform.
  • Use various CFD tools to build and validate digital twin components.
  • Automate simulation workflows using Python.
  • Contribute to multi-domain digital twins for thermal, mechanical, electrical, and control systems.
  • Integrate simulation data with Omniverse extensions.
  • Validate simulations with lab and field data to define cooling technology performance.

Job Requirements

  • Pursuing a PhD in Mechanical Engineering, Thermal Sciences, or related field.
  • Solid understanding of thermofluid dynamics and data center cooling systems.
  • Experience with CFD tools like Cadence and Ansys Fluent.
  • Strong programming ability in Python.
  • Familiarity with USD and Omniverse workflows.
  • Experience with flow network modeling tools.
  • Publications or research in thermal management or digital twins are a plus.
Apply now

More job openings