[Remote] AI Factory Digital Twin Engineer

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company known for its innovative AI solutions. They are seeking a Senior AI Factory Digital Twin Engineer to lead the development and operation of digital twins for AI Factories, focusing on integrating real-time data and predictive AI-based control systems. 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 Skills • Master's or Ph.D. in Mechanical Engineering, Thermal/Computational Engineering, or a related field (or equivalent experience) • 12+ 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 • 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 Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job