Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

NVIDIA; West of England; On-site; GBP 90,000 - 130,000; Full time

Job summary

NVIDIA is seeking a skilled Solutions Architect focused on datacentre power, cooling, and MEP to support AI and HPC GPU deployments. You will collaborate with customers, partners, and NVIDIA teams to design robust GPU infrastructure and address power and cooling challenges throughout the project lifecycle.

Role involves building PoCs, delivering technical content, and guiding strategic customers on datacentre design and integration.

Qualifications

• BS/MS/PhD in Mechanical or Electrical Engineering or equivalent experience.
• 8+ years in Solution Engineering or similar roles with partners and customers.
• Ability to own and drive technical engagements end-to-end.
• Experience with datacentre certifications (ATD, CDCAP, CDCDP, CDCEP, CDCMP, CDCSP) is preferred.

Responsibilities

• Design and validate datacentre power, cooling, and MEP integration for AI/HPC GPU deployments.
• Collaborate with partners, sales, and engineering to identify opportunities and guide projects.
• Lead technical engagements and develop PoCs for robust GPU cloud infrastructures.
• Provide technical content and workshops on datacentre best practices, power, and cooling.

Skills

Solution engineering

Customer engagement

Technical communication

Project management

Education

BS/MS/PhD in Mechanical/Electrical Engineering

Tools

NVIDIA GPUs

Networking hardware

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a skilled Solutions Architect with a strong emphasis on datacentre power, cooling, and MEP (Mechanical, Electrical, and Plumbing) requirements to support the deployment of advanced AI and HPC GPU infrastructure. Are you keen to join a team that brings GenAI, AI, and ML hardware and software technologies into real-world production, with a particular focus on the unique challenges of large-scale datacentre environments? In this role, you will collaborate closely with customers to assess and address the critical power distribution, cooling strategies, and MEP integration needed for next-generation GPU infrastructure. As part of the NVIDIA solutions architecture team, you’ll guide strategic customers through the complexities of datacentre design, ensuring robust, efficient, and scalable solutions while providing valuable feedback to business and engineering teams to shape product and infrastructure strategy.

What you’ll be doing:

• Work closely with NVIDIA Cloud Partners to design, implement, and operationalise NVIDIA’s cutting-edge hardware and software solutions, ensuring seamless integration with datacentre power, cooling, and MEP systems.
• Collaborate with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions, including those involving datacentre infrastructure upgrades and expansion.
• Serve as the primary technical contact for customers throughout the development, construction, and production of extensive GPU cloud infrastructure, providing guidance on datacentre power distribution, cooling strategies, and MEP integration across the full customer lifecycle.
• Conduct regular technical customer meetings to discuss project and product details, features, introduction to new technologies, debugging sessions, and address datacentre-related challenges such as optimising power usage and cooling efficiency.
• Work with customers to build Proofs of Concept (PoCs) for solutions that tackle critical business needs, including the development of robust networking, compute, and MEP infrastructure to meet demanding AI and HPC workloads.
• Prepare and deliver technical content to customers, including presentations and workshops, with an emphasis on datacentre best practices, power and cooling optimisation, and MEP requirements for large-scale GPU deployments.
• Analyse and develop joint solutions to address customer performance and scaling issues, including troubleshooting datacentre power and cooling bottlenecks and improving infrastructure reliability.
• Advise customers on the latest trends and technologies in datacentre design, including modular construction, efficient power management, advanced cooling techniques, and MEP innovations to support next-generation AI and HPC hardware.
• Collaborate with engineering and business teams to provide feedback and recommendations for future NVIDIA products and infrastructure, focusing on datacentre power, cooling, and MEP enhancements.
• Support customers in compliance with datacentre standards and regulations related to electrical, mechanical, and environmental requirements, ensuring safe and sustainable GPU infrastructure deployments.

What we need to see:

• BS/MS/PhD in Mechanical/Electrical Engineering, or other Engineering fields or equivalent experience.
• 8+ years in Solution Engineering (or similar Sales Engineering, Cloud Engineering) working directly with partners and customers.
• Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.
• At least one of the following datacenter certifications ATD, CDCAP, CDCDP, CDCEP, CDCMP, CDCSP is requested
• Experience crafting and deploying large-scale cluster environments.
• Practical expertise in datacentre design, development, and execution for AI and HPC.
• Efficient time management and capable of balancing multiple tasks. Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

• Practical familiarity with large datacentre design, power distribution, and cooling (liquid to chip)
• Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.
• Background with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.

We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!