Senior Product Manager, AI Frameworks

NVIDIA•Us, CA

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 ecosystem of other OSS frameworks. As a Product Manager for AI Platform post-training, you will be responsible for building products for enabling post-training and RL at scale on NVIDIA GPU and CPU 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! Post-training is a de facto workflow amongst our customers and partners. Post-training and RL are no longer single system workloads and require distributed systems to work reliably at scale. This product manager enables this workflow by focusing on training, generation, and sandboxing. 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 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 sound 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

Background with leading OSS RL Frameworks like VeRL
Experience with orchestration and reliability 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

Responsibilities

Create and optimize pre-training/inference and post-training frameworks for 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