Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

NVIDIA
Bristol, Spain, United Kingdom
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Technical ownership","Time management","Clear communication","Troubleshooting"]

Partner with NVIDIA Cloud Partners and customers to design, implement, and operationalize large-scale GPU cloud infrastructure. Lead technical engagements across datacentre power distribution, cooling strategies, and MEP integration from early development through production. Build PoCs for AI and HPC workloads, run customer technical meetings, troubleshoot performance and scaling bottlenecks, and prepare presentations and workshops that share datacentre best practices.

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FursaFursa
NVIDIA
NVIDIA
36 minutes ago

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Partner with NVIDIA Cloud Partners and customers to design, implement, and operationalize large-scale GPU cloud infrastructure. Lead technical engagements across datacentre power distribution, cooling strategies, and MEP integration from early development through production. Build PoCs for AI and HPC workloads, run customer technical meetings, troubleshoot performance and scaling bottlenecks, and prepare presentations and workshops that share datacentre best practices.
Location: Bristol, Spain, United Kingdom
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Work with NVIDIA Cloud Partners to design, implement, and operationalize NVIDIA hardware/software solutions integrating datacentre power, cooling, and MEP systems.
  • •Serve as primary technical contact for customers across development, construction, and production of GPU cloud infrastructure, guiding power distribution, cooling, and MEP integration.
  • •Conduct technical customer meetings to discuss project/product details, new technologies, debugging, and datacentre challenges like optimizing power usage and cooling efficiency.
  • •Build proofs of concept (PoCs) for networking, compute, and MEP infrastructure to meet AI and HPC workload demands.
  • •Troubleshoot performance and scaling issues, analyze datacentre power/cooling bottlenecks, and collaborate with engineering/business teams with feedback for future products and infrastructure.

Key Requirements

  • •BS/MS/PhD in Mechanical/Electrical Engineering or other Engineering field, 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 the full customer life-cycle.
  • •Request at least one datacenter certification: ATD, CDCAP, CDCDP, CDCEP, CDCMP, or CDCSP.
  • •Practical experience crafting and deploying large-scale cluster environments for AI and HPC workloads.
Experience:8+ yearsAIHPCCloud
Education:
Skills:Technical ownershipTime managementClear communicationTroubleshooting
Certifications:ATDCDCAPCDCDPCDCEPCDCMPCDCSP
Tech Stack:NVIDIA GPUsETH/IB networkingStorageLiquid to chip

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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