Senior Solutions Architect, AI Infrastructure

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CACANY
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 114 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $236k

$138k $304k

below market most similar roles pay here above market

This role pays more than 83% of similar roles. Most pay $158,750–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

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, AI Infrastructure

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The Senior Solutions Architect - AI Infrastructure joins the NVIDIA Cloud Partners team to lead the design and architecture of next-generation GPU-based clusters for AI supercomputers and enterprise infrastructure. This role involves performing end-to-end cluster design, performance modeling, validation, and NPI cluster deployments. You will partner with cloud partners to convey architecture and optimal process information, guiding them through complex situational limitations to build performant GPU clusters. Key responsibilities include debugging configuration and performance issues, providing feedback to engineering teams, and supporting first deployments of new network architectures. Required expertise includes GPU and HPC cluster design, distributed systems, and technologies such as NVLink, NCCL, MPI, IMEX, and NMX. You must translate sophisticated engineering concepts into customer-ready documentation while managing multi-functional communications across product and support teams.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

GPU NVLink HPC Distributed Systems NCCL MPI IMEX NMX Cluster Design Networking Performance Modeling NPI AI Infrastructure Validation Debugging

What you'll do

Design end-to-end architectures for large-scale GPU-based clusters and AI supercomputers.
Provide technical guidance to cloud partners on optimal networking and cluster design principles.
Perform performance modeling and validation for next-generation GPU and NVLink infrastructure.
Support New Product Introduction (NPI) deployments for new GPU and networking architectures.
Debug cluster design, configuration, and performance issues using internal engineering expertise.
Translate complex engineering concepts into customer-ready documentation, diagrams, and reference materials.
Relay customer feedback on cluster design and workflows back to internal engineering teams.

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 cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.
Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material.
Expertise in driving customer/partner issues to a close with product and engineering teams.
Ability to handle multi-functional communications across customer, product, support, and engineering teams.
Experience leading large-scale AI Factory or HPC cluster bring-ups or builds (preferred).
Hands-on experience with NVIDIA products, including GPUs, NVLink, and NVIDIA Networking (preferred).

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