Six Figure Work

Senior AI Application Developer - GPU and SOC Architecture Modeling

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 (2 min ago) · observed since

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! 


NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. 


What you’ll be doing: 

  • Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity 
  • Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling 
  • Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains.
  • Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions.
  • Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.

What we need to see: 

  • BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas 
  • Proficiency in C++, Python and ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools
  • Hands-on experience with LLMs (e.g. GPT, Claude, Llama) and multimodal models
  • Background in Computer Architecture with experience in modeling is a plus 
  • Strong collaboration skills with design and engineering teams 
  • Strong problem-solving and debugging skills, with a track record of driving issues to closure

#ArchitectYourFuture

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 29% of the 4,289 Software Engineering roles in California listed on this site; 86 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.

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 7, 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
Senior AI Application Developer - GPU and SOC Architecture Modeling (this listing)$152,000 - $287,500
Senior Networking Architect$152,000 - $287,500
Solutions Architect, AI and ML$152,000 - $287,500
Infrastructure Solutions Architect - OEM$152,000 - $287,500
Senior Software Engineer, CUTLASS Performance$152,000 - $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 - $287,500
Senior Graphics Driver Engineer$152,000 - $241,500

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.