Senior Solutions Architect, Data Center Buildouts – NPN

Senior Solutions Architect, Data Center Buildouts – NPN page is loaded## Senior Solutions Architect, Data Center Buildouts – NPNlocations:
US, CA, Remote:
US, GA, Remote:
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US, NC, Durham:
US, NJ, Remote time type:
Full time posted on:
Posted Todayjob requisition :
JR2015890
** What you will be doing:
*** Data Center deployment planning:
Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture 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 sophisticated and reliable data center builds.
* 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).
* Build and construction oversight:
Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
* Review the operational efficiency, reliability, and readiness of data center infrastructure elements before initiating AI/HPC cluster deployments. Design and apply detailed audit plans and conduct pre-deployment audits to detect possible problems, risks, and improvement areas.
* 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:
Develop partner-facing playbooks, deployment guides, and guideline documentation specific to AI factory implementations using NVIDIA reference builds.
* Technical Enablement and Knowledge Transfer:
Provide hands-on mentorship to partners on deploying NVIDIA AI factory; conduct workshops and develop runbooks to build partners expertise.
* Internal Liaison & Feedback Loop:
Serve as the representative of the customer/partner within NVIDIA, conveying field insights, deployment challenges, and optimization opportunities to NVIDIA internal and product engineering teams to support the seamless integration of data center infrastructure solutions.
** What we need to see:
*** Bachelor's degree or equivalent experience in Engineering, or a related field. Preferred qualifications include an advanced degree or equivalent experience, relevant certifications, or comparable experience.
* 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 8+ years of experience, preferably in high-density AI/HPC data centers.
* Proven technical expertise in data center systems and operations—power distribution, liquid cooling, rack/server chassis, and cabling.
* Effective communication at both on-the-ground implementation as well as executive levels, internally and with customers and partners.
* Coordination & Time Management – proficient at planning and scheduling 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 rollout, operational procedures, safety, and security protocols.
* Strong grasp of the entire data center Infrastructure stack.
* Strong channel sales and services knowledge and partner co-selling experience
* Ability to learn quickly and tackle sophisticated problems.

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA teamwork. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine…