NVIDIA is advancing digital twin technology to drive sustainable data center operations, offering unparalleled insights and optimization capabilities. Our Earth-2 platform exemplifies this innovation, using GPU-accelerated computing, AI-driven physics simulations, and massive datasets to create scalable, real-time digital twins.
As a Solution Architect, you will focus on deploying digital twin solutions tailored for data centers, enhancing operational sustainability, efficiency and operational resilience. Collaborating with the NVIDIA Infrastructure Specialists Team, you will support customers in implementing our solution stack on the fastest AI/HPC systems, leveraging Earth-2 capabilities for transformative outcomes.
What you'll be doing:
Support customers in designing and deploying digital twin solutions for energy flow modeling, renewable energy integration, and carbon footprint reduction in data centers.
Develop AI-driven digital twin simulations to optimize power usage, cooling efficiency, and infrastructure sustainability.
Support the deployment of digital twins on large clusters and work closely with the NVIDIA Infrastructure Specialists Team.
Utilize Earth-2 capabilities to forecast the impacts of renewable energy variability and weather on data center operations.
Work with engineering and cloud teams to scale digital twin solutions across diverse infrastructures.
Support customers in achieving sustainability goals through real-time insights and predictive analytics.
Deliver trainings, hackathons and demos on using our solutions and platforms.
What we need to see:
Advanced degree (MS/PhD) in Computer Science, Machine Learning, Climate
Science, Computational Physics, or related technical field.
3+ years of experience in industry or academia with strong programming skills in Python and/or C++.
Expertise in AI and digital twin technologies for large-scale infrastructure projects.
Developed physics-informed machine learning (Physics-ML) applications with frameworks like NVIDIA Modulus for modeling large infrastructure such as data centers.
Solid understanding of sustainability practices and environmental impact analysis in data centers.
Knowledge of cloud platforms, high-performance computing, and major deep learning frameworks (e.g., PyTorch).
Experience with containers, numerical libraries, modular software design, and version control.
Strong written and verbal communication skills, and experience in collaborative environments.
Ways to stand out from the crowd:
Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
Experience in weather and climate risk modeling with focus on AI models
Proven expertise in running large industrial applications for climate-tech, risk modeling, weather forecasting, or renewable energy systems.
Familiarity with Earth System Models, including running, analyzing, and visualizing outputs.
NVIDIA is one of the technology industry's most desirable employers. If you're a creative person with a genuine passion for AI and willing to contribute to Society’s Climate Change challenge, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates’ profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.
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