Data Center Cooling Infrastructure Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Centers, AI, TechnologyIndustries

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)
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
Effective cross-functional communication and collaboration skills

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

Skills

Key technologies and capabilities for this role

AutoCADRevitSolidWorksFlownexANSYS FluentNVIDIA OmniversePythonMATLABEESDigital TwinsThermofluidic Analysis

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Bachelor’s or Master’s degree in Mechanical Engineering, Thermal Sciences, or a related field (or equivalent experience) is required, along with 5+ years of experience designing and validating cooling systems for data centers, power plants, or other mission-critical facilities.

What key technical skills are needed for the Data Center Cooling Infrastructure Engineer position?

Proficiency in CFD and hydronic modeling tools like Ansys Fluent, Flownex, OpenFOAM, and mechanical/MEP layout tools such as AutoCAD, Revit, SolidWorks is required, along with expertise in thermofluid systems, heat transfer, and MEP integration.

Is this a remote position, or does it require on-site work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experiences make a candidate stand out for this position?

Experience with AI/HPC data centers and advanced cooling technologies, including two-phase and high-density liquid-cooling systems, will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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