AI Factory CPU focused Solutions Architect

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
46 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $236k
$162k most similar roles pay here $301k

This role pays more than 69% of similar roles. Most pay $175,125–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $211k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · AI Factory CPU focused Solutions Architect

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Join NVIDIA’s dynamic team as a Solution Architect, where you will play a pivotal role in advancing the AI Factory initiative by designing and deploying large-scale HPC and AI infrastructure. Your day-to-day responsibilities include leveraging your deep technical expertise to enable customers to adopt end-to-end AI solutions using NVIDIA's comprehensive compute, networking, and software stacks, with a focus on CPU-based solutions. This multifaceted position requires proficiency in modern data center architectures, MLOps tools, and the ability to articulate complex technical concepts to diverse audiences. Ideal candidates possess 6+ years of hands-on experience with high-performance computing, AI workflow tools, and strong foundational skills in engineering. Familiarity with Arm-based processors, reinforcement learning, and performance testing for large-scale clusters is a plus, as you will collaborate closely with customers to overcome barriers and drive the adoption of cutting-edge NVIDIA technologies at scale.

Skills

NVIDIA HPC AI MLOps CPU GPU Networking Arm-based processors Automation Performance testing Reinforcement learning CI/CD Docker Kubernetes Terraform Python PostgreSQL Prometheus Grafana

What you'll do

  • Design and deploy large-scale reference architectures for HPC and AI solutions.
  • Enable customers to adopt NVIDIA's CPU-based solutions within AI workflows.
  • Drive operationalization of large-scale compute resources using NVIDIA stacks.
  • Define and implement MLOps and AI workflow tools and processes.
  • Collaborate with engineering teams to solve complex technical challenges.

What we're looking for

  • 6+ years of hands-on experience with modern data center architectures and interaction between CPUs, GPUs, and networking.
  • Deep technical expertise in NVIDIA Reference Architectures for HPC and AI infrastructure.
  • Experience defining, deploying, and testing large-scale reference architectures for HPC and AI.
  • Strong background in MLOps and AI workflow tools and processes.
  • BS, MS, or equivalent experience in Engineering with foundational knowledge in the field.
  • Ability to articulate technical concepts effectively to diverse audiences.
  • Hands-on experience with Arm-based server processors and the Arm software ecosystem.

Related searches

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