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).
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, 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.
Benefits
equity
benefits
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Hard skills
CFD analysisdata center computational fluid dynamicsflow network modelingthermo-mechanical simulationsoptimization methods3D modelingvalidation of CFD modelsthermal performance improvementmechanical engineeringdata center IT design
Soft skills
collaborationproblem-solvingcommunicationleadershipanalytical thinkingattention to detailcreativityproject managementinterpersonal skillsadaptability
Certifications
Ph.D. in Mechanical EngineeringCFD software proficiency