Six Figure Work

GPU PCIe and Boot Architect - New College Grad 2027

NVIDIA

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

Base salary $108,000  to $195,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more

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  • LocationSanta Clara, CA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (12 min ago) · observed since
All places named
  • Santa Clara, CA
  • Austin, TX

About this job

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! 


We are looking for a GPU PCIe and Boot Architect to design the architecture and infrastructure for boot, PCIe/CXL enumeration, and capability discovery.


What you’ll be doing:

  • As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system
  • You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
  • Create functional and performance models, often in C++, along with test plans to validate the features you design
  • Actively support post-silicon validation activities

What we need to see:

  • Pursuing or recently completed a BS or MS in Computer Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
  • Coursework in Computer Architecture, Operation systems, and/or system architecture
  • Experience with HW/SW interactions
  • Experience building software models, diagnostic tests, and/or directed function and performance tests.
  • Strong Proficiency in C++ (previous project or internship experience is preferred)

Ways to stand out from the crowd:

  • Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar)
  • Experience with scripting languages such as Perl
  • Understanding of modern security constructs and/or encryption
  • Knowledge of RiscV architecture and microcode development

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of creating the highest performance chips in the industry? If so, we want 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:
108,000 USD – 178,250 USD for Level 1; and 124,000 USD – 195,500 USD for Level 2.

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 ($108,000) is above 9% of the 3,579 Engineering (non-software) roles in California listed on this site; 18 others list the same floor. Their median floor is $147,000; the middle half runs from $125,000 to $173,000.

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
GPU PCIe and Boot Architect - New College Grad 2027 (this listing)$108,000 - $195,500
Systems Validation Engineer$108,000 - $212,750
Senior HPC Support Engineer, InfiniBand - NVLink$108K - $207K
Senior HPC Support Engineer, InfiniBand - NVLink$108K - $207K
Senior IT SOX Auditor$108,000 - $172,500
Board Product Development Engineer$108,000 - $212,750
Compensation Analyst$112K - $230K

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 • US, TX, Austin (Levels 1-2 combined)

108,000 USD – 178,250 USD for Level 1; and 124,000 USD – 195,500 USD for Level 2.

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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