Senior Infrastructure Engineer
Wells Fargo
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Data Center Cooling Infrastructure Engineer
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • 🇺🇸 United States
Visit company websiteSalary
💰 $128,000 - $201,250 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- 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.
Requirements
- 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.
Benefits
- equity
- benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
thermofluid systemsheat transferCFD modelinghydronic modelingdigital twinssimulation-ready modelsenergy efficiencycost performancemechanical layoutMEP integration
Soft skills
collaborationcommunicationinnovationalignmentintegration
