Senior Solutions Architect, Cluster Design and Architecture, Networking

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
103 days ago
Freshness
Confirmed live today

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Similar $194k
$140k $263k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, Cluster Design and Architecture, Networking

The Senior Solutions Architect, Cluster Design and Architecture - Networking joins the Cluster Design and Architecture team to develop networking solutions for AI and HPC workloads. This role involves designing end-to-end cluster architectures, optimizing network topologies, and performing performance modeling and validation. You will act as a technical expert connecting engineering and field teams, guiding customers through complex design principles and situational limitations to build performant GPU clusters. Key responsibilities include debugging network configurations, providing feedback on networking development, and creating customer-ready documentation. Required expertise includes Infiniband, Spectrum-X, NVLink, and software solutions. Candidates need experience in large-scale distributed systems, AI clusters, or HPC infrastructure, with specific knowledge of NCCL, MPI, collective communication patterns, congestion control, and network performance optimization at scale.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

What you'll do

  • Design and architect next-generation networking solutions for large-scale AI and HPC clusters.
  • Optimize network topologies and perform performance modeling for thousands of connected GPUs.
  • Guide field teams and customers on cluster design principles and situational limitations.
  • Support successful first deployments of new network architectures and products for customers.
  • Debug network build, configuration, and performance issues using internal engineering expertise.
  • Translate complex engineering concepts into customer-ready documentation, diagrams, and reference materials.
  • Provide feedback to engineering teams regarding networking development and customer workflows.

What we're looking for

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field (or equivalent experience).
  • 8+ years of experience in network architecture, network design, network validation, and troubleshooting.
  • Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
  • Ability to translate complex engineering concepts into customer-ready documentation, diagrams, and reference material.
  • Experience leading large-scale AI Factory or HPC cluster bring-ups or builds (preferred).
  • Hands-on experience with NVIDIA networking products including Infiniband, Spectrum-X, and BlueField (preferred).
  • Knowledge of NCCL, MPI, and collective communication patterns in distributed training (preferred).
  • Background in network performance optimization, congestion control, and validation at scale (preferred).

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