Waste Heat Recovery and DC Energy Efficiency Intern - Summer 2026

NVIDIA•Us, CA

13d•$20 - $71

About The Position

NVIDIA’s AI Factories are designed to speed up AI and HPC workloads! At their core is the Digital Twin, a physics-based model used to design, validate, and operate factories optimized for tokens per watt across GPUs, cooling, power, and control systems. We are looking for an intern to support hands-on thermal R&D, evaluate, and model data centers' energy flows and waste heat recovery systems.

Requirements

Currently pursuing a Master's or Ph.D. degree in Mechanical Engineering with a strong thermal and optimization background.
Strong understanding of thermal management principles and fluid dynamics.
In-depth knowledge of sustainable technologies, including waste heat recovery, advanced cooling solutions, energy-efficient hardware, and innovative data center designs.
Understanding of industry standards and regulatory requirements related to environmental sustainability.

Nice To Haves

Experience with DCs cooling systems simulation tools (CFD and FNM).
Experience with Omniverse or USD-based digital twin integration.
Research/publications in data center cooling or advanced thermal management.
Strong communication and partnership skills.

Responsibilities

Research and evaluate waste heat recovery technologies such as absorption chillers, heat-recovery loops, and their energy/computing impacts.
Model data center energy flows, PUE/RP improvements, and high-temperature liquid-cooling benefits.
Create digital twins using CFD and FNM tools for ambient-to-chip thermal/fluid simulations.
Assist with analysis, scripting, and visualization (Python/MATLAB), and supporting technical reports and benchmarking.
Collaborate with cross-functional teams to ensure alignment with sustainability and performance goals.