JobsProduct ManagerSan JosePrincipal Product Manager, AI Frameworks

NVIDIA

Posted 3 days ago · Jobs at NVIDIA

Principal Product Manager, AI Frameworks

NVIDIA · Santa Clara, California, United States

Full-timeOn site10+ yrs$240k–$380kListed as no visa sponsorshipComputer Hardware Manufacturing
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In short

You will be responsible for building tools, SDKs, and libraries that enable model builders to achieve optimal performance and resilience on NVIDIA GPUs. Additionally, you will define product strategy, roadmaps, and go-to-market plans while collaborating with internal and external customers.

What they're looking for

MUST-HAVE SKILLS

Product ManagementAI FrameworksGPU ArchitectureMachine LearningGenAIDistributed SystemsPerformance OptimizationSoftware Development

ALSO MENTIONED

NvidiaAI FrameworksGPUOSSSDKsRLGenAIMachine LearningDistributed SystemsVeRL

The role requires 15+ years of technical product management experience and a BS or MS degree in Computer Science or a related field. Candidates must demonstrate deep knowledge of GenAI, machine learning, large-scale distributed systems, and software optimization.

About the employer

NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

INDUSTRY
Computer Hardware Manufacturing
COMPANY
Public Company
FOUNDED
1993
HEADQUARTERS
Santa Clara, CA
SIZE
10,001+on LinkedIn
OFFICES
6 on LinkedIn
OPEN HERE
12 roles

KNOWN FOR

GPU-accelerated computingartificial intelligencedeep learningvirtual realitygamingself-driving cars

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Questions about this role

Is this NVIDIA role remote?
Tagged on site.
What does it pay?
The posting lists $240,000–$379,500 a year.
Does it sponsor visas?
Listed as no visa sponsorship.
What experience does it ask for?
Listed as 10+ years.

The posting, in full

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 post-training and RL, 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.

▶ READ THE FULL POSTING

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 post-training and RL, 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 and optimize post-training RL libraries, frameworks 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 design and scaling of training/post training and optimization software (ex. VeRL, Tunix, Nemo Framework, PyTorch distributed, torchtitan, 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 RL for 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.

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This listing comes from NVIDIA's own careers site. Apply links go to the employer. Company facts are from NVIDIA's public profile. Last checked 2 Nov 2026.