Senior Solutions Architect, AI Factory Infrastructure

Nvidia

Remote

Quick summary

Work type
Remote
Location
Durham, NC
Salary
$224,000–$356,500 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $290k
$150k most similar roles pay here $379k

This role pays more than 96% of similar roles. Most pay $172,225–$246,150 — the shaded band above. At the midpoint, this role pays about $290k versus about $209k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, AI Factory Infrastructure

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Join NVIDIA’s dynamic AI Infrastructure team as a Solution Architect, where you will collaborate with customers to design, architect, and implement accelerated computing data center solutions for large-scale AI inference and physical AI through digital simulation. Your day-to-day responsibilities include optimizing workflow pipelines, focusing on distributed and disaggregated inference use cases, leading technical sales activities for hybrid cloud deployments, and delivering optimized architectures for data pipelines and storage. You will need expertise in Linux, Kubernetes, Ethernet networking, Python programming, and cloud-native tooling such as Terraform and Helm. Ideal candidates have 15+ years of experience in IT infrastructure, a deep understanding of AI workloads, and the ability to independently manage complex projects with remote teams.

Skills

Kubernetes Linux Python Terraform Helm AWS GCP Azure PostgreSQL CI/CD Docker Prometheus Grafana NVIDIA Omniverse Ethernet networking API SDKs Linux system environments Cloud native tooling

What you'll do

  • Help customers design and optimize AI factory workflows, including inference use cases.
  • Lead technical sales activities for hybrid cloud deployments in AI factories.
  • Deliver hybrid cloud architectures for secure data pipelines and user connectivity.
  • Provide expertise in infrastructure workflows, optimizing hardware and application performance.
  • Understand solution trade-offs and propose the best architecture for enterprise customers.

What we're looking for

  • 15+ years of experience in IT infrastructure or related field.
  • Expertise in Linux, Kubernetes, Ethernet networking, and cloud tools.
  • Mastery of how software and hardware optimize applications together.
  • Strong Python programming skills for interfacing with IT infrastructure.
  • Experience with AI workloads, focusing on inference use cases.
  • Ability to lead technical sales activities for hybrid cloud deployments.

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