Senior GPU Cluster Solutions Architect – AI/HPC

NVIDIA Corporation

United States

On-site

USD 184,000 - 357,000

Full time

3 days ago
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Job summary

NVIDIA Corporation is seeking a Senior Solutions Architect for the Retail Solutions Architect team, focusing on GPU, NVLink, and infrastructure design. You will help design large-scale AI training and inference clusters, collaborate with OEMs, and provide hands-on debugging for deployment and performance optimization.

The role requires 8+ years in GPU/HPC cluster design and strong cross-functional communication.

Qualifications

  • BS/MS/PhD in CS, EE, or related field (or equivalent experience).
  • 8+ years of experience in cluster design, validation, and issue resolution on GPU and HPC clusters.
  • Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
  • Ability to communicate technical details with technical leaders and customer executives.
  • Ability to handle cross-functional communications across teams and customers.

Responsibilities

  • Design GPU clusters (compute, networking, storage) for large-scale AI training clusters and modular inference clusters.
  • Collaborate with OEMs to ensure successful first deployments with new products and architectures.
  • Provide feedback to Product and Engineering on reference architectures, deployment and performance.
  • Hands-on work to assist Enterprises in debugging issues relating to cluster design and configuration.
  • Support NPI deployments with new GPU/Networking architectures.

Skills

Cluster design
GPU HPC
NVLink
Networking design
Performance modeling
Customer communication
Hands-on debugging
Enterprise deployments

Education

BS/MS/PhD in CS/EE

Job description

NVIDIA Corporation is seeking a Senior Solutions Architect for the Retail Solutions Architect team, focusing on GPU, NVLink, and infrastructure design. You will help design large-scale AI training and inference clusters, collaborate with OEMs, and provide hands-on debugging for deployment and performance optimization.

The role requires 8+ years in GPU/HPC cluster design and strong cross-functional communication.

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