Senior AI Infrastructure Architect – GPU Clusters

NVIDIA; California (MO); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Solutions Architect to join the Cloud Partners team, focusing on GPU, NVLink, and infrastructure design. You will shape end-to-end cluster design, performance modeling, validation, and deployments for world-class AI supercomputers and enterprise AI infrastructure.

Responsibilities include guiding partners in design, ensuring successful initial deployments, and translating complex engineering concepts into customer-ready docs.

Qualifications

• BS, MS, or PhD in CS, EE, CE, Physics, or related field.
• 8+ years of experience in cluster design, validation, and issue resolution on GPU/HPC clusters.
• Proven expertise in designing large-scale distributed systems and AI/HPC infrastructure.
• Ability to translate concepts into customer-ready diagrams and docs.
• Experience driving issues to closure with product and engineering teams.
• Strong cross-functional communication across customer, product, support, and engineering.

Responsibilities

• Partner with NVIDIA Cloud Partners in GPU cluster design and networking.
• Guide cluster design to balance performance and supportability for GPU clusters.
• Collaborate with partners to ensure successful first deployments of new architectures.
• Provide feedback from field to engineering on cluster design and workflows.
• Hands-on debugging of cluster design, configuration, and performance issues.
• Support NPI deployments with new GPU/Networking architectures.

Skills

Cluster design

AI/HPC systems

Distributed systems

Documentation & diagrams

Cross-functional communication

Education

BS/MS/PhD in CS/EE/CE/Physics

Job description

NVIDIA is seeking a Senior Solutions Architect to join the Cloud Partners team, focusing on GPU, NVLink, and infrastructure design. You will shape end-to-end cluster design, performance modeling, validation, and deployments for world-class AI supercomputers and enterprise AI infrastructure.

Responsibilities include guiding partners in design, ensuring successful initial deployments, and translating complex engineering concepts into customer-ready docs.