Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure
RemoteUnited Kingdom or Spain
Job Summary
Design, implement, and operationalize NVIDIA's cutting-edge hardware and software solutions for datacentre power, cooling, and MEP systems. Collaborate with Cloud Partners and Sales Account Managers to identify opportunities for infrastructure upgrades and secure business deals. Serve as the primary technical contact throughout the customer lifecycle, conducting meetings to discuss project details, debugging sessions, and challenges like optimizing power usage and cooling efficiency. Build Proofs of Concept for robust networking, compute, and MEP infrastructure supporting AI and HPC workloads. Prepare technical content including presentations and workshops on datacentre best practices and MEP requirements. Analyze joint solutions to address performance and scaling issues, advising customers on modular construction, efficient power management, and advanced cooling techniques. Provide feedback to engineering teams on datacentre power, cooling, and MEP enhancements while ensuring compliance with electrical, mechanical, and environmental standards.
Required Qualifications
- 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
- 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
Desired Qualifications
- 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.
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