Nvidia Data Center Cooling Infrastructure Engineer 

United States, Texas 

878253095

What You’ll Be Doing:

• Lead the end-to-end design, analysis, and optimization of heat-rejection and cooling systems, including chillers, cooling towers, dry coolers, thermal storage, pumps, hydronic loops, and air/liquid-cooling components such as fan walls, CRAHs, CDUs, and manifolds, using tools like AutoCAD, Revit, or SolidWorks.

• Develop, validate, and integrate sophisticated cooling architectures and control systems across mechanical, electrical, and automation layers, incorporating waste-heat recovery and reuse strategies at facility and campus scale.

• Build and apply digital twins and SimReady thermal models using platforms such as Flownex, ANSYS - Fluent, and NVIDIA Omniverse to support design validation, commissioning, and predictive operation.

• Perform thermofluidic, pressure-drop, and system-level analyses using engineering tools such as Python, MATLAB, or EES to improve energy efficiency, reliability, and cost performance.

• Collaborate across organizations to drive alignment, integration, and shared innovation in cooling infrastructure development.

What we need to see:

• Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Sciences, or a related field (or equivalent experience).

• 5+ years of experience designing and validating cooling systems for data centers, power plants, or other mission-critical facilities.

• Proven expertise in thermofluid systems, heat transfer, and MEP integration.

• Strong background in thermofluid systems, heat transfer, and MEP integration, with hands-on experience in liquid cooling, heat exchangers, thermal storage, and control systems.

• Proficiency in CFD and hydronic modeling (Ansys Fluent, Flownex, OpenFOAM) and mechanical/MEP layout tools (AutoCAD, Revit, SolidWorks).

• Proficiency in AutoCAD, Revit, or SolidWorks for mechanical and MEP layout development.

• Experience developing digital twins and simulation-ready models, integrating datasets into collaborative platforms such as NVIDIA Omniverse, and demonstrating effective cross-functional communication and collaboration.

Ways to stand out from the crowd:

• Experience with AI/HPC data centers and advanced cooling technologies, including two-phase and high-density liquid-cooling systems.

• Background in controls and automation for cooling systems (PLC, BMS, or SCADA integration).

• Familiarity with factory-scale MEP design, modular deployment, and partner coordination.

• Knowledge of waste-heat recovery and energy reuse concepts for sustainable infrastructure.