Senior Solutions Architect, Data Center Buildouts – NPN

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Solution Architect to serve as a forward-deployed technical liaison between NVIDIA ’s Partner Network (NPN), NVIDIA ’s internal teams, and enterprise customers.

In this role, your focus will be to support customers and partners in the areas of planning, development, and deployment of large-scale AI factories based on NVIDIA 's reference designs.

Acting as a trusted advisor embedded with customer and partner teams, you will bridge solution development, implementation enablement, and post-deployment optimization to accelerate AI factory adoption!

What you will be doing: AI Factory deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA ’s reference architecture for AI Factory infrastructure.

Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds. Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL).

Build and oversight: Review and appraise customers' and partners' installation plans, including all point-to-point cabling assignments, hardware compatibility verification, and BOM reviews, verifying their compliance with NVIDIA reference architecture.

Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness. Review the operational efficiency, reliability, and readiness of data center and hardware elements before initiating AI/HPC cluster deployments.

Design and apply detailed audit plans and conduct pre-deployment audits to detect possible problems, risks, and improvement areas. Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Continuous Improvement: De