Senior Solutions Architect, Data Center Infrastructure

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CATXSeattle, WA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $197k

$133k $253k

below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $144,350–$235,750 — the blue band above. At the midpoint, this role pays about $197k 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. Key responsibilities include acting as a technical specialist for GPU and networking products, providing onsite support for deep learning inference, and analyzing complex deployment logs to resolve hardware and software roadblocks. The position requires expertise in system design, performance tuning, and error diagnostics. Candidates must demonstrate proficiency with NVIDIA hardware like H100 and GB200, as well as software libraries including NCCL, DCGM, and UFM. Technical skills must also encompass Embedded Linux Systems, APIs, and experience within CSP or OEM AI markets.

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

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 for deep learning inference.
Analyze deployment data and logs to assess product health and guide customers through technical roadblocks.
Identify customer architectures and product requirements in 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.
4+ 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.
Experienced in 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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