Senior Engineer, AI Factory Modular Cooling Architecture jobs in United States
cer-icon
Apply on Employer Site
company-logo

NVIDIA · 1 day ago

Senior Engineer, AI Factory Modular Cooling Architecture

NVIDIA is a leader in high-performance computing and machine learning applications, and they are seeking a Senior Engineer to enhance their data center cooling and infrastructure. The role involves collaborating with teams to develop CFD technologies, applying cooling methodologies, and creating efficiency metrics to optimize data center performance.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Collaborate with other NVIDIA teams to develop and implement new CFD technologies and methodologies improving performance and efficiency of NVIDIA's products and services. Serve as a resident domain expert
Apply engineering cooling methodologies for crafting solutions for both small and large-scale DC and manufacturing facilities
Use data center computational fluid dynamics and flow network modeling tools for crafting contend facility digital twins from chip to chiller of small to large scale manufacturing facilities and DC modeling NVIDIA's high heat density servers, racks and PODs for any combination of air, single phase, two phase and immersion cooling applications
Working closely with other team experts to build digital twin of manufacturing test facilities and data centers using NVIDIA's Omniverse and Modulus tools
Design and conduct experiments for validating and producing accurate CFD models by comparing test results with facility BMS data
Collaborate with various hardware, thermal, and data center engineering teams for reliability studies, debugging, and expedited resolution of hardware issues
Engage with leading CFD software companies to drive their product roadmap to meet NVIDIA's requirements for high heat density air and liquid cooling solutions
Create data center and manufacturing testing facility efficiency metrics for evaluating design effectiveness such as power utilization Effectiveness (PUE), Carbon Usage Effectiveness (CUE), Water Usage Effectiveness (WUE)

Qualification

CFD analysisMechanical EngineeringData Center DesignCommercial CFD softwareComputer-Aided Design (CAD)Thermo-mechanical simulationsOptimization methodsDigital twinsMachine learningPublicationsSoftware programming

Required

Comprehensive Understanding of data center IT design, including server and network rack deployments with a focus on performance dependency on mechanical and thermal considerations
Ph.D. in Mechanical Engineering or a related field (or equivalent experience)
12+ years experience including demonstrated ability in CFD analysis with 3-5 years' experience
Experience with commercial CFD software, such as Cadence 6Sigma Room and ET
Proficiency in Computer-Aided Design (CAD) software for creating and modifying 3D models of electronic components and cooling systems, facilitating more accurate simulations
Skilled in CFD models' validation by aligning experimental results with simulation ones to ensure accuracy
Capability to perform coupled analyses, such as thermo-mechanical simulations, to understand the impact of temperature on mechanical behavior and stress in electronic components
Skilled in using optimization methods to improve the thermal performance of electronic cooling, finding the best design configurations for maximum efficiency
Having software programming capability in MATLAB, Creo, SolidWorks, Macroflow, 6sigmaDCX, ANSYS Icepak, Flotherm, FlothermXT

Preferred

Working Knowledge and design ability for data center direct-to-chip liquid cooling technologies, including using liquid-to-liquid, liquid-to-air, single phase and two phase cooling distribution units, cold plates, manifolds for hybrid of air and liquid data center cooling
Background with CFD analysis of data centers facilities
Experience with creating digital twins
Experience with machine learning and artificial intelligence
Publications in peer-reviewed journals and conferences

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

leader-logo
Jensen Huang
Founder and CEO
linkedin
leader-logo
Michael Kagan
Chief Technology Officer
linkedin
Company data provided by crunchbase