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 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, with strong knowledge of the data center stack-power distribution, liquid cooling, servers, networking, storage, structured cabling (fiber and copper), and pre-deployment planning.
- Hands-on experience with hardware break/fix and RMA workflows (triage, swap, ship, track, close) and spares/logistics coordination across multiple sites.
- Experience building processes and playbooks from scratch, a bias toward action and comfort operating with minimal supervision in ambiguous, fast-paced environments.
- 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.
- Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions.
- Organization & Time Management - able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames.
- Willingness to travel (up to 40%).
Way to stand out from the crowd:- Linux system administration skills
- Hands-on liquid-cooling product deployment experience
- Familiarity with ICT/shuffle-box configurations and new-generation cabling.
- Strong knowledge of whole data center Infrastructure stack
- Relevant certification - preferred
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
