Senior Solutions Architect, AI Infrastructure

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $236k

$146k $303k

below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $161,250–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $198k 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 1655 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1061 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, AI Infrastructure

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JOB TITLE: Senior Solutions Architect, AI Infrastructure The Senior Solutions Architect joins the Retail Solutions Architect team to focus on GPU, NVLink, and infrastructure design. This role involves assisting with designs and architectures for next-generation GPU-based clusters for advanced AI supercomputers and enterprise AI infrastructure. Key responsibilities include end-to-end cluster design, performance modeling, validation, and NPI cluster deployments. You will work with customers to design compute, networking, and storage clusters for large-scale AI training and modular inference. You will also collaborate with OEMs on new network architectures and topologies while providing feedback to product and engineering teams. Required skills include expertise in distributed systems, GPU and HPC clusters, and technologies such as NVLink, NCCL, MPI, IMEX, and NMX collectives for distributed training.

What does a Solutions Architect earn in California?

Median $235750 from 61 postings across 11 companies.

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Skills

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

What you'll do

Design large-scale GPU clusters for AI training and modular inference with customers.
Architect end-to-end cluster designs including compute, networking, and storage components.
Perform performance modeling and validation for next-generation GPU-based clusters.
Collaborate with OEMs to ensure successful first deployments of new network architectures and topologies.
Provide hands-on debugging for enterprise customers regarding cluster design and configuration issues.
Support New Product Introduction (NPI) deployments featuring new GPU and networking architectures.
Provide technical feedback to product and engineering teams on reference architectures and performance.

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 communicate technical details with technical leaders and customer executives.
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, specifically debugging deployment issues (preferred).
Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs (preferred).

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