AI Factory CPU focused Solutions Architect

Nvidia

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$184,000–$287,500 / yr
Posted
59 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $236k
$138k most similar roles pay here $304k

This role pays more than 75% of similar roles. Most pay $168,750–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $202k 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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View all roles at Nvidia

At a glance

TL;DR · AI Factory CPU focused Solutions Architect

As an AI Factory CPU focused Solutions Architect, you will join a team dedicated to designing, building, and maintaining large-scale HPC and AI infrastructure. You will serve as the technical leader for CPU components within the AI Factory, working with partners to deploy and operationalize end-to-end solutions using NVIDIA’s compute, networking, and software stacks. Your daily responsibilities include overcoming adoption barriers, delivering demos, assisting with proof-of-concepts, and collaborating with engineering teams to solve complex problems. You will utilize a deep understanding of Reference Architectures, MLOps tools, and AI workflows. Required expertise includes modern data center architectures involving CPU, GPU, and networking interactions. Preferred skills include experience with Arm-based server processors, the Arm software ecosystem, Agentic AI, inference workflows, reinforcement learning, and performance testing for large-scale clusters using automation and specialized AI tools.

What you'll do

  • Design, build, and maintain large-scale HPC and AI infrastructure for customers.
  • Advise partners on adopting end-to-end AI solutions using NVIDIA compute, networking, and software stacks.
  • Act as the technical lead for CPU components within the NVIDIA AI Factory ecosystem.
  • Deploy and operationalize large-scale compute resources to overcome customer adoption barriers.
  • Define, deploy, and test large-scale reference architectures for high-performance computing.
  • Implement MLOps tools and processes to manage AI workflows and production environments.
  • Deliver technical demonstrations, proof-of-concepts, and technical content like papers or blogs.
  • Resolve complex technical problems by collaborating with executives and engineering teams.

What we're looking for

  • Experience defining, deploying, and testing large-scale reference architectures for High Performance Computing and AI.
  • A track record of defining and using MLOps and AI workflow tools and processes.
  • 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking.
  • Strong foundational expertise and a BS, MS, or equivalent experience in Engineering.
  • Ability to organize, present, and discuss technical materials with groups of varying technical capabilities.
  • Strong analytical and problem-solving skills with the ability to articulate complex information clearly.
  • Experience with Arm-based server processors and the Arm software ecosystem is preferred.
  • Proficiency with tooling, automation, and performance testing for large-scale clusters using AI tools.

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