Senior Product Manager, AI Frameworks

NVIDIA • Santa Clara, CA

1d

About The Position

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. As a Product Manager for AI Platform Recommender Systems, you will be responsible for building products for enabling frontier RecSys and Generative Recommendation Models on Nvidia systems. 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! Generative Recommender models are gaining momentum amongst our customers and partners. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers 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!

Requirements

• Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP)
• Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, 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)
• 10+ years of technical product management, or similar, experience at a technology company
• Strong communication and interpersonal skills

Nice To Haves

• Experience leading GR systems - GEM, TIGER
• Working on Open Source & Github-first developer products with deep customer interactions
• Knowledge of GPU architecture, HW/SW co-design, and performance profiling

Responsibilities

• Create and optimize pre-training/inference and post-training frameworks for RecSys and Generative Recommender 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 the E2E ML lifecycle
• Work with leadership to align with and drive company strategy

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees