NVIDIA is seeking to accelerate AI and HPC workloads by optimizing data center cooling systems, and is looking for a PhD-level intern to support hands-on thermal R&D, simulation, and lab-based validation
Requirements
- Experience with CFD tools (ANSYS Fluent, Cadence, STAR-CCM+) and/or flow network modeling (Flownex)
- Hands-on experience with lab equipment, fluid loops, testing, and instrumentation
- Experience working with CAD (SolidWorks, NX) and working safely and effectively in an R&D lab environment
- Experience with LabVIEW, Python, MATLAB, or similar tools
- Strong foundation in heat transfer, fluid mechanics, and thermal system design
- Experience working with liquid cooling systems (CDUs, CRAHs, Chillers)
- Background with Omniverse or USD-based digital twin integration
Responsibilities
- Conduct CFD, FNM, and mechanical design studies for rack-level, room-level, and facility-level cooling architectures
- Build and refine CAD models and digital twin components for NVIDIA’s Omniverse platform
- Work hands-on in NVIDIA’s Santa Clara thermal labs and CM sites with CDUs, CRAHs, chillers, pumps, HX, and prototype equipment
- Set up and run experiments using LabVIEW or similar DAQ tools
- Support mechanical build activities, including working with sheet-metal vendor and assembling test fixtures
- Assist R&D for single phase liquid cooling, two-phase cooling, liquid-to-liquid systems, and hybrid cooling technologies
- Generate test reports, analyze data, and validate simulations with lab data
Other
- Pursuing PhD in Mechanical Engineering, Thermal/Fluids Engineering, or similar area
- Eligible for Intern benefits
- Applications for this job will be accepted at least until December 21, 2025
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer
- Must be creative, autonomous, and driven
