Principal Product Manager, AI Frameworks

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!

• →

  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

• 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

• 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

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.