Senior Solutions Architect - AI Infrastructure
nvidiaBrooklyn (NY)
Senior Solutions Architect - AI Infrastructure
Posted today
nvidiaBrooklyn (NY)
SENIORITY
Lead
About the role
Overview:
As a Senior Solutions Architect on the Cluster Design and Architecture team, you will lead end-to-end GPU cluster design and architecture across large-scale AI and HPC deployments. You will bridge NVIDIA’s GPU/NVLink technology with field and customer needs, guiding deployments and documenting best practices. You’ll collaborate with engineering and customers to ensure performant, scalable clusters and successful first deployments of new products. This is an opportunity to shape how leading AI companies and researchers build their infrastructure at scale. Compensation / Benefits equity benefits competitive compensation growth opportunities
Responsibilities:
Partner with internal engineering on GPU cluster design and networking, translating architecture into customer-ready guidance for field teams Guide field teams and customers in cluster design, balancing principles with real-world constraints to maximize performance and maintainability Collaborate with field teams to support successful first deployments of new products, including network architectures/topologies Provide feedback from customers/field to engineering for standard processes and documentation Perform hands-on debugging of cluster design, configuration, and performance issues using internal expertise and known bugs Support NPI deployments with new GPU/Networking architectures
Key requirements:
BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience) 8+ years of experience in cluster design, validation, and issue resolution on GPU/HPC clusters Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure Ability to translate complex engineering concepts into customer-facing documentation, diagrams, and reference material Experience driving customer/partner issues to close with product and engineering teams Strong multi-functional communication skills across customer, product, support, and engineering teams customer-facing cross-functional collaboration effective time management GPU architectures NVLink NVIDIA Networking
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.