Nvidia Solution Architect Digital Twins Sustainable Data Center 

United Kingdom, Scotland 

109430618

UK, Remote

offering unparalleled insights and optimization capabilities. Our Earth-2 platformexemplifies this innovation, using GPU-accelerated computing, AI-driven physicssimulations, and massive datasets to create scalable, real-time digital twins.

As a Solution Architect, you will focus on deploying digital twin solutions tailored for datacenters, enhancing operational sustainability, efficiency and operational resilience.in implementing our solution stack on the fastest AI/HPC systems, leveraging Earth-2capabilities for transformative outcomes.

What you'll be doing:

• modeling, renewable energy integration, and carbon footprint reduction in datacenters.

• Develop AI-driven digital twin simulations to optimize power usage, coolingefficiency, and infrastructure sustainability.

• Support the deployment of digital twins on large clusters and work closely with theNVIDIA Infrastructure Specialists Team.

• Utilize Earth-2 capabilities to forecast the impacts of renewable energy variabilityand weather on data center operations.

• Work with engineering and cloud teams to scale digital twin solutions across diverseinfrastructures.

• Support customers in achieving sustainability goals through real-time insights andpredictive 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 inPython and/or C++.

• Expertise in AI and digital twin technologies for large-scale infrastructure projects.

• Developed physics-informed machine learning (Physics-ML) applications withframeworks like NVIDIA Modulus for modeling large infrastructure such as datacenters.

• Solid understanding of sustainability practices and environmental impact analysis indata centers.

• Knowledge of cloud platforms, high-performance computing, and major deeplearning frameworks (e.g., PyTorch).

• Experience with containers, numerical libraries, modular software design, andversion control.

• Strong written and verbal communication skills, and experience in collaborative

Ways to stand out from the crowd:

• Understanding of HPC systems: data center design, high speed interconnectInfiniBand, Cluster Storage and Scheduling related design and/or managementexperience.

• Experience in weather and climate risk modeling with focus on AI models

• Proven expertise in running large industrial applications for climate-tech, riskmodeling, weather forecasting, or renewable energy systems.

• Familiarity with Earth System Models, including running, analyzing, and visualizing

person with a genuine passion for AI and willing to contribute to Society’s Climate Changecandidates’ profiles. If you think you have the relevant skills and experience for this job, weencourage you to apply even if you lack some of the requirements listed above.