Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

NVIDIA is seeking a skilled Solutions Architect to support the deployment of advanced AI and HPC GPU infrastructure, focusing on datacentre power, cooling, and MEP requirements.

The successful candidate will collaborate with customers to assess and address critical power distribution, cooling strategies, and MEP integration needed for next-generation GPU infrastructure.

Responsibilities:

• 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.

Requirements:

• 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.

Nice to Have:

• 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.