Solutions Architect, OEM AI Factory Infrastructure

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
173 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k
$141k $252k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$235,750.

Based on 240 similar postings.

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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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Solutions Architect, OEM AI Factory Infrastructure

Role Posting Log in to save

As a Solutions Architect, OEM AI Factory Infrastructure, you will join the OEM AI Factory SA team to support the deployment, configuration, validation, and monitoring of AI Factories. You will collaborate with engineering and product teams to understand partner needs, develop proof of concept projects, and provide hands-on training for partners. Your daily work involves managing MEP, Ethernet and Infiniband networking, DevOps, HPC/AI workloads, Cluster Administration, and Site Reliability Engineering. You will work with NVIDIA certified servers like GB200/300 NVL72 integrated into platforms from partners like Dell, HPE, and Lenovo. Required skills include Linux system administration, Python, and networking concepts, with C and C++ also listed. Preferred qualifications include Slurm, data science, and experience with GPUs, CUDA, and data center infrastructure.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

Python C C++ NVIDIA CUDA Linux Slurm DevOps Infiniband Ethernet HPC Site Reliability Engineering Data Science Computer Architecture Networking Data Center Infrastructure

What you'll do

  • Develop proof of concept projects using NVIDIA technologies.
  • Understand the technical needs of partners and customers.
  • Educate partners through hands-on training sessions.
  • Document and share key takeaways from technical projects.
  • Deploy, configure, validate, and monitor AI Factory software stacks.
  • Support OEM partners in integrating NVIDIA solutions into their platforms.
  • Manage HPC/AI workloads and cluster administration tasks.

What we're looking for

  • BS, MS, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Math, Physics, Data Science, or related technical fields (or equivalent experience).
  • 5+ years of experience.
  • Strong skills in one or more programming languages such as Python, C, or C++.
  • Familiarity with Linux system administration, Python, and networking concepts.
  • Excellent presentation, communication, and collaboration skills.
  • Strong analytical and problem-solving skills.
  • Experience with NVIDIA GPUs and software libraries (preferred).
  • Experience with data center infrastructure from hardware up through the technology stack (preferred).

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