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Solutions Architect, Data Center Infrastructure - NVIS

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: NVIDIA Corporation
Full Time position
Listed on 2026-07-05
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, IT Infrastructure, Data Engineering
Salary/Wage Range or Industry Benchmark: 124000 - 195500 USD Yearly USD 124000.00 195500.00 YEAR
Job Description & How to Apply Below
## Solutions Architect, Data Center Infrastructure - NVISApplylocations:
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US, CA, Santa Claratime type:
Full time posted on:
Posted Todayjob requisition :
JR2020270

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.
** What you will be doing:
*** 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 smarthands, 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 validate 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 (not just follow them); 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.
** What we need to see:
*** Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information…
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