Solutions Architect, Data Center Infrastructure - NVIS

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists 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 data centers and supercomputers! NVIDIA is looking for someone who can lead planning and deployments of AI data centers including power/cooling systems, cabling and network provisioning and bring‑up/validation.

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 is 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.
• Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack‑scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment.
• Conduct pre‑deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement.
• Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. Provide feedback and recommendations to improve performance, scalability, and cost‑effectiveness.
• Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams.
• Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles.
• 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. Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations.
• Collaboration and Communication:
  Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions. Serve as a domain expert and point of contact for infrastructure‑related 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 infrastructure management roles, focusing on large‑scale data center deployments.
• Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre‑deployment planning.
• Relevant certification – preferred.
• Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change.
• Excellent analytical, problem‑solving, and decision‑making skills, keen attention to detail, and a commitment to quality.
• Excellen…