Solutions Architect, Data Center Infrastructure - NVIS

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists (NVIS) team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world’s largest and fastest AI Factories and supercomputers. This role leads the infrastructure planning, physical deployment, and hardware remediation that drives every cluster to full operational acceptance, spanning power and cooling systems, cabling and network bring‑up and validation, and RMA.

As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards. This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems.

• NVIS Datacenter Engineering and planning:
  Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems.
• Hardware deployment:
  Plan and manage deployment of NVIDIA’s pioneering AI infrastructure, including highly complex rack‑scale, liquid‑cooled compute and networking systems, in a fluid and fast‑paced environment.
• Pre‑deployment planning:
  Review cluster and data center architecture, plan network port mapping and fiber‑optic cabling BOM, identify risks, train and enable vendors, and find areas for improvement.
• Design evaluation:
  Evaluate customer and partner infrastructure design proposals for consistency with industry standards and regulatory requirements; provide feedback and recommendations to improve performance, scalability, and cost‑effectiveness.
• Hardware & remediation:
  Lead physical troubleshooting cabling debug, mis‑wire correction, power and leak issues and drive clusters from initial bring‑up to full operational acceptance, partnering with validation, network, and TAM teams to close out remaining compute‑tray and networking issues.
• Vendor & partner management:
  Oversee smart hands, integration, cabling, and OEM partners—manage dispatches, validate work quality, enforce SLAs, and hold partners accountable—scaling deployment and remediation capacity through partners.
• Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams.
• Quality Assurance:
  Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. Conduct thorough bring‑up, testing, and validation to verify the functionality and reliability of infrastructure components.
• Continuous Improvement:
  Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. Build repeatable processes, MOPs, and playbooks; streamline and automate repetitive tasks, and leverage emerging technologies and agentic AI tooling to optimize infrastructure and remediation operations.
• Teamwork & communication:
  Collaborate across internal teams, external vendors, and customers to enable seamless integration of data center infrastructure solutions; serve as a domain expert and point of contact for infrastructure and remediation inquiries and blocking issues.

• Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field.
• Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers.
• Working experience in data center operations, or…