About The Position

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.

Requirements

  • Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Sciences, or a related field (or equivalent experience).
  • 12+ 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • You will also be eligible for equity and benefits .
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service