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Senior Solutions Architect, Data Center Buildouts – NPN

NVIDIA· Architect, Solutions
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Hybrid (Remote)$184k - $287.5k + equityfull-timePosted 6mo ago

About the role

Technical Solution Architect for NVIDIA’s Partner Network, acting as a forward-deployed liaison to plan, develop, and deploy large-scale AI factories based on NVIDIA reference designs in data center environments. Embedded with customer and partner teams to accelerate AI factory adoption and provide feedback to NVIDIA on reference architectures and enablement.

Responsibilities

  • AI Factory deployment planning: Collaborate with product, engineering and partners to implement NVIDIA’s reference architecture into data center builds.
  • Building process capabilities: Develop processes, partner relationships and workflows to deliver large AI factories quickly.
  • Build and oversight: Review installation plans, cabling, hardware compatibility, BOMs, and optimize performance, scalability, and cost.
  • Review operational efficiency, reliability, and readiness of data center hardware before AI/HPC deployments; design and apply pre-deployment audit plans.
  • Quality Assurance: Implement QA processes to ensure deployments meet specifications and performance benchmarks.
  • Continuous Improvement: Develop partner-facing playbooks, deployment guides, and guidelines for AI factory implementations.
  • Technical Enablement and Knowledge Transfer: Provide hands-on mentorship, workshops and runbooks for partner expertise.
  • Internal Liaison & Feedback Loop: Represent customers/partners within NVIDIA to relay deployment challenges and optimization opportunities.

Qualifications

  • Bachelor's degree or equivalent experience in Engineering or related field
  • 8+ years of experience in infrastructure delivery, preferably in hyperscale data centers and high-density AI/HPC environments
  • Proven technical expertise in data center systems and operations (power distribution, liquid cooling, rack/server chassis, cabling)
  • Effective communication with field teams and executive stakeholders
  • Coordination & Time Management skills for project planning and scheduling
  • Ability to travel (25%)

Skills

Required:AI Factory deployment planningData center systems and operationsCommunication with stakeholders

Benefits

  • equity
  • benefits
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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