Solutions Architect, Data Center Buildouts - NVIS

Join NVIDIA as a Solution Architect on the Infrastructure Specialists team. Help

redefine deep learning, data analytics, and power data centers worldwide using

NVIDIA products. Collaborate on building the world's largest and fastest AI

Factories and supercomputers. We are seeking a candidate who can lead the

planning and deployment of large scale AI data centers, focusing on

infrastructure buildout including power and cooling systems, telemetry and

control systems, and large scale design, construction and delivery processes. In

this role, your main focus will be to support customers in the areas of

planning, design, construction, and deployment of large scale AI factories. You

will be a part of the team building capabilities to design, construct and

deliver large AI factories based on NVIDIA's reference designs. This includes

architectural systems, power distribution, cooling systems, integration of

telemetry and control systems, and all other physical infrastructure.

Collaboration with product and engineering teams, customers, and the

partner/provider ecosystem will be crucial to achieving successful deployments.

What you will be doing: NVIS Data Center deployment planning: Collaborate with

product and engineering teams to understand NVIDIA’s reference architectures for

data center infrastructure including power distribution, cooling systems,

controls and monitoring, and network/cabling architecture. Support customers and

partners in quickly implementing this architecture into advanced and reliable

data center designs. Building process capabilities: Collaborate across the org

to build processes, partner relationships and workflows to deliver and deploy

large AI factories at speed of light (SOL). Design and construction oversight:

Review and appraise customers' and partners' infrastructure design plans,

verifying their compliance with NVIDIA reference architecture, industry

standards, and regulatory requirements. Deliver guidance, expertise and

suggestions to optimize performance, scalability, and cost-effectiveness. Ensure

alignment with our customers and partners on reference architecture, guidelines

and processes to make their deployments successful. Assess the operational

efficiency, reliability, and readiness of data center infrastructure components

before deploying AI/HPC clusters. Develop and implement comprehensive audit

plans and conduct pre-deployment audits to identify potential issues, risks, and

areas for improvement. Partner and vendor ecosystem: Develop and sustain a

strong ecosystem of manufacturers, service providers and partners as needed, to

ensure customers can deploy NVIDIA solutions rapidly and reliably as well as be

the key liaison for customers and partners on matters of data center

infrastructure. Act as the NVIS mentor providing guidance, mentorship, and

support to ensure the team's success in their respective roles. Quality

Assurance: Implement and make quality assurance processes to ensure that

deployments meet established specifications and performance benchmarks. Conduct

detailed bring-up, testing, and commissioning to validate the functionality and

reliability of infrastructure components. Continuous Improvement: Drive

continuous improvement initiatives to improve data center infrastructure

reliability, resilience, and sustainability. Find opportunities to streamline

processes, automate repetitive tasks, and apply new technologies to optimize

infrastructure operations. Collaboration and Communication: Collaborate and

communicate across internal teams, external vendors, and customers to facilitate

the flawless integration of data center infrastructure solutions. Serve as a

domain authority and point of contact for infrastructure-related inquiries and

critical issues. What we need to see: Bachelor's degree or equivalent experience

in Engineering, or a related field. Advanced degree or equivalent experience or

relevant certifications are desirable. We need an expert professional with a

background in multiple aspects of infrastructure delivery, preferably of

hyperscale data centers. The ideal candidate will have at least 12 years of

experience, preferably in sophisticated, high-density AI/HPC data centers.

Proven experience in data center engineering, operations, deployment and/or

infrastructure management roles, focusing on large-scale data center

deployments. Strong technical knowledge and experience in data center systems

and processes- power distribution, liquid cooling, rack/server chassis, and

cabling. Proven technical and project leadership under fluid situations, and

ability to adapt to change. Strong communication at both ground execution as

well as executive levels, internally and with customers Excellent analytical,

problem-solving, communication and decision-making skills, keen attention to

detail, and a dedication to quality. Strong record of excellent partnership and

putting the mission's success first. Coordination & Time Management – proficient

at planning, scheduling, and coordinating tasks related to the job to accomplish

objectives within or ahead of designated time frames. Able to travel (25%). Way

to stand out from the crowd: Experience in hyperscale data center deployment,

operations process, safety, and security measures. Solid understanding of the

whole data center Infrastructure stack. Outstanding social skills. NVIDIA is

widely considered one of the world's most desirable employers in technology. We

have some of the world's most forward-thinking and passionate people working for

us. If you're creative and autonomous, we want to hear from you. Your base

salary will be determined based on your location, experience, and the pay of

employees in similar positions. The base salary range is 224,000 USD - 356,500

USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be

eligible for equity and benefits. Applications for this job will be accepted at

least until July 3, 2026. This posting is for an existing vacancy. NVIDIA uses

AI tools in its recruiting processes. NVIDIA is committed to fostering an

inclusive work environment and proud to be an equal opportunity employer. As we

highly value diversity in our current and future employees, we do not

discriminate (including in our hiring and promotion practices) on the basis of

race, religion, color, national origin, gender, gender expression, sexual

orientation, age, marital status, veteran status, disability status or any other

characteristic protected by law. NVIDIA pioneered accelerated computing. Today,

our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.