Six Figure Work

Principal Product Manager, AI Frameworks

NVIDIA

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

Base salary $240,000  to $379,500

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

At Nvidia we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco system of other OSS frameworks. and As a Product Manager for AI Platform training you will be responsible for building the tools, SDKs, and libraries which enable model builders to get the best large scale performance, resilience and experience on NVIDIA GPUs.

As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale and resilience for current and emerging modeling paradigms on GPUs. We work directly with customers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sounds familiar? If so, we would love to hear from you!

What you'll be doing:

  • Create products to help researchers and production model builders

  • Develop product strategy, roadmaps, and go-to-market plans

  • Collaborate with internal and external customers to build product-based roadmaps for training/post training software

  • Work with leadership to align with and drive company strategy

What we need to see:

  • Experience with training/post training and optimization software (ex. PyTorch distributed, torchtitan, VeRL, Nemo Framework, etc.)

  • Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, and software development and delivery

  • Experience with large scale distributed systems

  • BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)

  • 15+ years of technical product management, or similar, experience at a technology company

  • Strong communication and interpersonal skills

Ways to Stand Out from the crowd:

  • Experience leading GenAI/RecSys research to production at scale

  • Working on Open Source & Github-first developer products with deep customer interactions

  • Knowledge of GPU architecture, HW/SW co-design, and performance profiling

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.

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 ($240,000) is above 88% of the 863 Product roles in California listed on this site; 13 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $205,000.

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
Principal Product Manager, AI Frameworks (this listing)$240,000 - $379,500
Principal Product Manager - DSX and DGXC Storage$240,000 - $379,500
Principal Cyber Security Engineer - Agentic Identity and Security$240,000 - $379,500
Director, International Tax Planning$240,000 - $379,500
Principal System Engineer, Operations$240,000 - $379,500
Principal Product Manager, AI Frameworks$240,000 - $379,500
Senior Manager, Training Data$240,000 - $379,500

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

base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.

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.