NVIDIA

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

Job Description

Posted on: 
2025-12-19

Responsibilities

  • Develop high-fidelity CFD and thermo-fluidic models for cooling systems.
  • Build SimReady geometries and metadata for the Omniverse platform.
  • Use tools like Cadence, ANSYS Fluent, and STAR-CCM+ for validation.
  • Automate simulation workflows using Python.
  • Contribute to multi-domain digital twins across various engineering fields.
  • Integrate simulation data with Omniverse extensions.
  • Validate simulations with lab and field data.

Job Requirements

  • Pursuing a PhD in Mechanical Engineering or related field.
  • Solid understanding of thermofluid dynamics and data center cooling systems.
  • Experience with CFD tools and flow network modeling.
  • Strong programming skills in Python.
  • Familiarity with USD and Omniverse workflows.
  • Experience with predictive digital twins or ML/AI integration is a plus.
  • Publications or research in thermal management or digital twins are advantageous.
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