Solutions Architect, Data Center Infrastructure - NVIS
NVIS Datacenter Engineering
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
- 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
- Drive clusters from initial bring-up to full operational acceptance
- Partner 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
- Scale deployment and remediation capacity through partners
Testing, Troubleshooting & Validation
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.