NVIDIA

Solution Architect, Digital Twins for Sustainable Data Center

United Kingdom

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Center Infrastructure, AI & Machine Learning, Sustainable TechnologyIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not Specified

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.

Requirements

  • 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.

Responsibilities

  • 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.

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, analy

Company Information

  • Company: NVIDIA
  • Industry: Technology (Specifically, AI, HPC, and Digital Twin Technology)

Skills

Python
C++
AI
Digital Twin
Physics-Informed Machine Learning
NVIDIA Modulus
Cloud Platforms
High-Performance Computing
Deep Learning Frameworks
PyTorch
Containers
Numerical Libraries
Software Design
Version Control
Communication Skills

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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