Senior Solutions Architect, AI Infrastructure

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TXHillsboro, ORRedmond, WASanta Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 105 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 $199k

This role $236k

$147k most similar roles pay here $303k

This role pays more than 78% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 239 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, AI Infrastructure

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As a Senior Solutions Architect, AI Infrastructure, you will join the Solutions Architecture team to drive end-to-end technology solution integration for strategic customers. You will work with Cloud Providers and Hyperscalers to develop, build, and deploy compute and networking solutions based on groundbreaking hardware. Your daily responsibilities include conducting technical meetings, performing performance debugging sessions, leading workshops, and providing product strategy recommendations to internal teams. The role focuses on solving critical business needs through proof of concepts for AI solutions. You will utilize expertise in InfiniBand and Ethernet fabric topologies, GPUs, CPUs, PCIe, host networking, switches, optics, and kernel drivers. Essential skills include experience with NICs, HCAs, DPUs, and large-scale GPU infrastructure deployments to support accelerated networking for Artificial Intelligence, Machine Learning, and High Performance Computing environments.

What does a Solutions Architect earn in Texas?

Median $182825 from 30 postings across 11 companies.

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Skills

InfiniBand Ethernet GPU PCIe HPC Machine Learning Networking Kernel Drivers Optics Hardware Architecture

What you'll do

Develop and deploy compute and networking solutions for cloud providers and hyperscalers using NVIDIA hardware.
Execute proofs of concept (POCs) to address specific customer business needs for AI solutions.
Conduct technical meetings, workshops, and performance debugging sessions with customers.
Provide product strategy recommendations to internal business and engineering teams.
Debug end-to-end compute and network performance across hosts, switches, and optics.
Design and debug large-scale GPU infrastructure at a rack scale.
Integrate accelerated networking technologies for AI, Machine Learning, and High-Performance Computing (HPC).

What we're looking for

BS/MS/PhD in Electrical Engineering, Computer Science, Physics, or a related engineering field or equivalent experience.
8+ years of experience as a Solutions Architect or in similar technical pre-sales roles.
Practical knowledge of sophisticated networking for AI data centers including GPUs, CPUs, InfiniBand, and Ethernet fabric topologies.
Experience with end-to-end compute and network performance debugging across hosts, switches, and optics.
Strong customer-oriented demeanor and skills to drive technical pre-sales activities.
Ability to communicate complex ideas clearly through documents and presentations.
Experience with large-scale GPU infrastructure deployments and rack-scale design/debugging.
Understanding of system hardware architecture impacts on network performance including kernel drivers, PCIe devices, NICs, DPUs, and GPUs.

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