Senior Solutions Architect, Data Center Buildouts – Npn

NVIDIA NVIDIA · Semiconductors · CA +5 · Remote

This role supports customers and partners in planning, developing, constructing, and deploying large-scale AI factories, focusing on the physical infrastructure (power, cooling, networking) and ensuring compliance with NVIDIA's reference architecture. It involves acting as a technical liaison, providing expertise, and enabling successful AI factory adoption.

What you'd actually do

  1. Data Center deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds.
  2. 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).
  3. Build and construction oversight: Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
  4. Review the operational efficiency, reliability, and readiness of data center infrastructure 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.
  5. Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components.

Skills

Required

  • Proven technical expertise in data center systems and operations—power distribution, liquid cooling, rack/server chassis, and cabling.
  • Effective communication at both on-the-ground implementation as well as executive levels, internally and with customers and partners.
  • Coordination & Time Management – proficient at planning and scheduling tasks related to the job to accomplish objectives within or ahead of designated time frames.
  • Experience in hyperscale data center rollout, operational procedures, safety, and security protocols.
  • Strong grasp of the entire data center Infrastructure stack.

Nice to have

  • Advanced degree or equivalent experience
  • Relevant certifications
  • Strong channel sales and services knowledge and partner co-selling experience
  • Ability to learn quickly and tackle sophisticated problems.

What the JD emphasized

  • AI factories
  • large-scale AI factories
  • AI factory adoption
  • AI factory implementations
  • AI factory