Senior Solutions Architect, AI Infrastructure

NVIDIA • Santa Clara, CA

8d • $184,000 - $356,500

About The Position

NVIDIA is seeking a highly motivated Senior Solutions Architect to join its Retail Solutions Architect team, focusing on GPU, NVLink, and infrastructure design. The role supports designs and architectures for large next-generation GPU-based clusters that enable AI supercomputers and enterprise AI infrastructure. The architect serves as a technical expert connecting NVIDIA GPU and NVLink technology and software solutions with engineering and field teams, supporting customers with demanding requirements. Work includes end-to-end cluster design and architecture, performance modeling, validation, and new product introduction (NPI) cluster deployments. The role influences how leading enterprises build infrastructure.

Requirements

• Bachelor’s, master’s, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, or equivalent experience.
• At least 8 years of experience in cluster design, validation, and issue resolution, specifically involving GPU and HPC clusters.
• Proven expertise designing large-scale distributed systems, AI clusters, or HPC infrastructure.
• Ability to communicate technical details to technical leaders and customer executives.
• Ability to coordinate communications across customers, product teams, support teams, engineering teams, and other functions.

Nice To Haves

• Experience leading large-scale AI Factory or HPC cluster bring-ups or builds.
• Hands-on experience with NVIDIA products, including GPUs, NVLink, and NVIDIA Networking, especially debugging deployment issues involving NVLink.
• Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as they relate to cluster designs.
• External customer-facing skills and background.
• Effective time management and the ability to balance multiple tasks and customers while creatively debugging and solving problems.

Responsibilities

• Work with customers to design GPU clusters covering compute, networking, and storage, from large-scale AI training clusters to modular inference clusters.
• Work closely with OEMs to support successful first deployments of new products, including new network architectures and topologies.
• Provide feedback to product and engineering teams on reference architectures, deployment, and performance.
• Perform hands-on work to help enterprises debug issues related to cluster design and configuration.
• Support customer deployments of new GPU and networking architectures as part of NPI.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior