Senior Engineer, AI Factory Modular Cooling Architecture at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, Data CentersIndustries

Requirements

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
Skilled in CFD models’ validation by aligning experimental results with simulation ones
Capability to perform coupled analyses, such as thermo-mechanical simulations
Skilled in using optimization methods to improve thermal performance of electronic cooling
Software programming capability in MATLAB, Creo, SolidWorks, Macroflow, 6sigmaDCX, ANSYS Icepak, Flotherm, FlothermXT

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 content 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
Work 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)

Skills

CFD

Computational Fluid Dynamics

Flow Network Modeling

Digital Twins

Omniverse

Modulus

BMS

PUE

Immersion Cooling

Liquid Cooling

Thermal Engineering

Data Center Cooling

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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