Solutions Architect, Data Center Buildouts

NVIDIA; Austin (TX); On-site; USD 224,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solution Architect for the Infrastructure Specialists team to lead planning, design, and deployment of large-scale AI data centers worldwide. You will focus on infrastructure buildout, including power, cooling, telemetry, and control systems, with responsibilities spanning design review to delivery.

The role drives collaboration with product, engineering, customers, and partners to ensure scalable, reliable deployments and adherence to NVIDIA reference architectures.

Qualifications

• Bachelor’s degree or equivalent experience in Engineering, or a related field.
• Expert with infrastructure delivery for hyperscale data centers, 12+ years preferred.
• Experience in data center engineering, operations, deployment and/or infrastructure management.
• Strong knowledge of data center systems—power distribution, liquid cooling, rack/server chassis, cabling.
• Proven technical and project leadership under fluid situations.
• Excellent communication at execution and executive levels.
• Ability to travel (25%).

Responsibilities

• NVIS Data Center deployment planning and collaboration with product/engineering teams.
• Build processes, partner relationships and workflows to deploy large AI factories quickly.
• Review and appraise infrastructure design plans for compliance and optimization.
• Ensure alignment with reference architectures and processes for successful deployments.
• Assess operational efficiency and readiness; conduct pre-deployment audits.
• Develop ecosystem of manufacturers, service providers, and partners.
• Mentor team members and ensure quality assurance throughout bring‑up and commissioning.
• Drive continuous improvement to reliability and sustainability of data centers.
• Collaborate across internal teams, vendors, and customers for flawless integration.

Skills

Hyperscale DCs

Data center planning

Power distribution

Liquid cooling

Telemetry & controls

Project leadership

Communication

Education

Bachelor’s degree or equivalent in Engineering

Job description

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 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 organization 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 customers and partners on reference architecture, guidelines and processes to make their deployments successful.
• Assess 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 and serve as 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.
• 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.

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.