Senior Data Center Cooling Infrastructure Engineer
As NVIDIA scales to gigawatt-scale AI Factories, cooling infrastructure becomes a defining element of efficiency, reliability, and sustainability. This role involves leading the end-to-end design, analysis, and optimization of heat-rejection and cooling systems, incorporating waste-heat recovery at facility and campus scale.
Responsibilities
- Lead end-to-end design, analysis, and optimization of heat-rejection and cooling systems
- Develop and validate cooling architectures incorporating waste-heat recovery at campus scale
- Build digital twins and SimReady thermal models using Flownex, ANSYS Fluent, and NVIDIA Omniverse
- Perform thermofluidic and system-level analyses using Python, MATLAB, or EES
- Drive standardization of cooling infrastructure across NVIDIA’s datacenter portfolio
Qualifications
- 12+ years designing and validating cooling systems for data centers or mission-critical facilities
- BS or MS in Mechanical Engineering, Thermal Sciences, or related field
- Proficiency in CFD and hydronic modeling (Ansys Fluent, Flownex, OpenFOAM)
- Proficiency in mechanical/MEP layout tools (AutoCAD, Revit, SolidWorks)
- Experience with chillers, cooling towers, dry coolers, thermal storage, and hydronic loops
Listing aggregated from a public source. GreenCIO is not affiliated with, endorsed by, or recruiting on behalf of NVIDIA. You will apply directly with the employer.
What this hire signals
NVIDIA building cooling design into its internal stack (including Omniverse digital twins) — the company is becoming a full datacenter systems integrator, not just a chip vendor.
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