NVIDIA · 2 months ago
AI Factory Digital Twin Engineer
US, CA, Santa Clara
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expNVIDIA is a leading technology company known for its innovative AI Factories, and they are seeking a Senior AI Factory Digital Twin Engineer to lead the development of digital twins for their AI Factories. The role involves integrating various engineering domains and real-time data to optimize factory performance and efficiency.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and develop digital twins for NVIDIA’s AI Factories, integrating thermofluidic, electrical, and mechanical domains into unified simulation frameworks
Build and lead CFD, FNM, and CAD-based SimReady models using ANSYS-Fluent, STAR-CCM+, Flownex, SolidWorks, NX, or Revit, and prepare USD datasets for NVIDIA Omniverse
Automate simulation and optimization workflows with Python, C++, or MATLAB, applying AI-based parameter and sensitivity studies
Integrate operational data from SCADA, BMS, power, and thermal systems into digital twins to simulate, predict, and optimize factory performance; develop AI models to improve tokens/W and system efficiency
Validate simulations with site data and define operational envelopes for safe and efficient cooling and energy system operation
Collaborate across teams and partners to align modeling with design and operations, and chip in to industry standards (ASHRAE, ASME, OCP) for digital twin development
Qualification
Required
Master's or Ph.D. in Mechanical Engineering, Thermal/Computational Engineering, or a related field (or equivalent experience)
8+ years of experience in CFD, flow network modeling, and system-level simulation for large-scale industrial or data center environments
Deep proficiency with Ansys Fluent, Cadence, Siemens STAR-CCM+ / Simcenter, Flownex, or equivalent
Advanced skills in 3D CAD modeling (NX, CATIA, SolidWorks, Revit) and creating simulation-ready geometries and metadata
Strong programming skills in Python and C++, with experience automating simulation workflows, building APIs, and developing Omniverse extensions
Experience with USD-based asset structures, Omniverse platform integration, and creation of SimReady digital twin content
Solid foundation in thermofluid dynamics, multi-phase heat transfer, and system-level coupling of mechanical, electrical, and control systems
Demonstrated experience incorporating live operational data into predictive simulation environments to drive AI-based real-time control
Proven ability to analyze simulation outcomes to maximize tokens/W, PUE, and overall AI Factory efficiency
Preferred
Background in AI/HPC data center cooling, including immersion and two-phase systems
Experience building predictive digital twin frameworks combining physical modeling with ML-based optimization
Familiarity with MEP system design and controls integration in data centers or other mission-critical facilities
Prior contributions to standards organizations such as ASHRAE, ASME, or OCP advancing digital twin interoperability
Experience applying AI/ML for simulation acceleration, surrogate modeling, or predictive maintenance
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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