Senior Solutions Architect, Data Center Infrastructure

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CATXSeattle, WA
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 $190k

This role $236k

$127k $305k

below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $144,350–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $190k 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, Data Center Infrastructure

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The Senior Solutions Architect - Data Center Infrastructure joins the team to drive technical execution across engineering, product, and sales departments for Hyperscaler-scale deployments. This role involves architecting and scaling high-performance, distributed AI infrastructure on-prem or in the cloud using GPU supercomputers. Responsibilities include acting as a technical specialist for GPU and networking products, providing onsite support for complex hardware and software problems in deep learning inference, and analyzing deployment logs to resolve roadblocks. The position requires expertise in system design, performance tuning, and error diagnostics. Key technologies and skills include NVIDIA hardware like H100 and GB200, software libraries, NCCL, DCGM, UFM, Embedded Linux Systems, and APIs. The role solves technical challenges in the CSP/OEM AI market by bridging product strategy with large-scale customer deployment.

What does a Solutions Architect earn in California?

Median $235750 from 61 postings across 11 companies.

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Skills

System Design NVIDIA GPU Deep Learning Inference Networking Embedded Linux NCCL DCGM UFM ARM CPU CSP Performance Tuning Error Diagnostics Hardware Software Libraries

What you'll do

Architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud using NVIDIA GPU supercomputers.
Act as a technical specialist on GPU and networking products to support sales account managers in securing design wins.
Provide onsite technical support to resolve complex hardware and software problems, specifically for deep learning inference.
Analyze complex deployment data and logs to assess product health and resolve technical roadblocks for customers.
Identify customer architectures and product requirements within the CSP/OEM AI market to implement NVIDIA solutions.
Develop technical solutions including hardware and software demos and example system designs.
Provide technical and sales training to direct sales teams and channel partners.

What we're looking for

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.
Technical competence to analyze logs and deployment data to guide customers to the resolution of technical issues.
Expert analytical and problem-solving abilities.
Excellent written and oral communication skills in English.
Experience working in a Hyperscaler or Cloud Service Provider (CSP) environment or as a strategic partner (preferred).
Hands-on experience with NVIDIA hardware and software libraries, including performance tuning and error diagnostics (preferred).
Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, and UFM (preferred).

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