Data Center Cooling Infrastructure Engineer

The AI Factory era of computing relies on NVIDIA’s data centers! As we scale to gigawatt-scale AI Factories, cooling infrastructure becomes a defining element of efficiency, reliability, and sustainability. We are seeking a Data Center Cooling Infrastructure Specialist to design, develop, and operationalize next-generation thermal systems. This role will be deeply involved in heat-rejection architecture, waste-heat recovery integration, and full-stack MEP systems, transforming how we think about thermal performance at scale. The Specialist will collaborate across NVIDIA’s data center engineering, factory development, and partner ecosystems to deliver high-performance, manufacturable, and simulation-ready cooling infrastructure that powers the future of AI computing.

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.

NVIDIA is widely recognized as one of the technology industry’s most desirable employers, with some of the most forward-thinking and dedicated people in the world.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 152,000 USD - 247,250 USD for Level 4.Applications for this job will be accepted at least until October 24, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.