Six Figure Work

Solutions Architect - OEM AI Factory Infrastructure

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $152,000  to $287,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

In this role, you will be a contributing member of the OEM AI Factory SA team. Our work encompasses MEP (Mechanical Electrical Plumbing), Ethernet and Infiniband networking, DevOps, HPC/AI workloads, Cluster Administration and Site Reliability Engineering. You will acquire insight into various facets of AI Factories deployments. Applicants should be familiar with Linux system administration, Python, and networking concepts. Solid understanding of Slurm and data sciences is a plus.

Our Team is responsible for OEM AI factory build engagements - which means that we work with our OEM partners (Dell, HPE, Lenovo and others) to use NVIDIA solutions integrated in their platforms. NVIDIA certified servers include GB200/300 NVL72, along with our software stack that assists with the deployment, configuring, validating and monitoring for the AI Factories of the future.

What you’ll be doing:

  • Collaborating with solution architects, engineering or product teams!

  • Understanding technical needs of partners and customers

  • Developing proof of concept projects with NVIDIA technologies.

  • Assisting with key takeaways, documenting and sharing.

  • Educating our Partners through hands-on trainings.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Math, Physics, Data Science, or related technical fields (or equivalent experience)

  • 5+ years experience

  • Strong skills in one or more programming languages (Python, C, C++, etc.)

  • Excellent presentation, communication and collaboration skills

  • Ability to work independently and with a cross-functional team

  • Comfortable multi-tasking in a fast-paced environment with changing requirements

  • Strong analytical and problem-solving skills

Ways to stand out from the crowd:

  • Experience with NVIDIA GPUs and software libraries

  • Work experience within an engineering or research community

  • A computer architecture, software engineering, or data science foundation

  • Academic or industry familiarity with GPUs, AI, CUDA, or related technologies

  • Ability and eagerness to dig into unfamiliar territories to take on problems relying on experience from previous work with data center infrastructure experience, from hardware up through technology stack

NVIDIA is renowned as one of the most coveted employers in the tech world. We’re home to some of the industry's brightest and most innovative minds. If you’re excited about witnessing how a global technology leader stays at the cutting edge, we'd love to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($152,000) is above 28% of the 5,070 Software Engineering roles in California listed on this site; 117 others list the same floor. Their median floor is $176,800; the middle half runs from $149,374 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Solutions Architect - OEM AI Factory Infrastructure (this listing)$152,000 - $287,500
Senior Networking Architect$152,000 - $287,500
Senior Product Quality Engineer, Board – Automotive$148,000 - $287,500
Solutions Architect, AI and ML$152,000 - $287,500
Infrastructure Solutions Architect - OEM$152,000 - $287,500
Senior Solutions Architect, First Time Deployment Networking Spectrum-X - NVIS$148,000 - $235,750
Senior Software Engineer, CUTLASS Performance$152,000 - $287,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 3-4 combined)

152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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