AI Factory Digital Twin Engineer

NVIDIA; California (MO); On-site; USD 152,000 - 247,250; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

A leading tech company is seeking a Senior AI Factory Digital Twin Engineer in California. You will lead the development of digital twins for AI Factories, leveraging expertise in CFD and multi-physics simulation. The ideal candidate has 8+ years of experience, a Master's or Ph.D. in Mechanical Engineering, and strong programming skills in Python and C++. Competitive salary and equity options are available.

Qualifications

• 8+ years of experience in CFD and system-level simulation.
• Deep proficiency with simulation tools like Ansys Fluent and STAR-CCM+.
• Strong programming skills in Python and C++.

Responsibilities

• Design and develop digital twins for AI Factories.
• Automate simulation workflows with AI-based studies.
• Integrate real-time data for performance optimization.

Skills

CFD

Multi-physics simulation

Digital twin integration

Python programming

C++ programming

Education

Master’s or Ph.D. in Mechanical Engineering or related field

Tools

ANSYS-Fluent

STAR-CCM+

SolidWorks

Revit

Flownex

Job description

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) plays a critical role. 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.

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.
• 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.

What We Need To See

• 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.

Ways to Stand Out from the Crowd

• 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.

NVIDIA is widely recognized as one of the technology industry’s most desirable employers, with some of the most forward‑thinking and dedicated people in the world. We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive work environment. If you’re creative, autonomous, and driven, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 247,250 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2025.

JR2006487

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

General Business

Industries

Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing

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