Location: Remote
Discipline: AEC / Design Tech
Experience: 12+ years
Compensation: $184,000
NVIDIA’s AI Factories are built to accelerate AI and HPC workloads. At their core the Digital Twin (physics-based model used to design, validate, and operate factories optimized for tokens per watt across GPUs, cooling, power, and control systems. We are seeking a Senior AI Factory Digital Twin Engineer with expertise in CFD, FNM, multi-physics simulation, and digital twin integration to lead the development and operation of NVIDIA’s AI Factory digital twins, modeling MEP systems, integrating real-time data, and enabling predictive AI-based control of the infrastructure.
You’ll be shaping the digital and physical foundation of NVIDIA’s AI Factories, engineering virtual replicas that not only design the future but also operate it in real time. Your models will guide NVIDIA in achieving the highest tokens per watt efficiency across global AI Factory deployments, uniting simulation, data, and AI to create the most advanced compute infrastructure on Earth.
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What You Will Be Doing:
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.
