Posted at: 13 April

Senior Product Manager, AI Frameworks

Company

CompanyNVIDIA

NVIDIA Corporation is a Santa Clara-based technology company specializing in designing GPUs and AI solutions for gaming, professional visualization, and cloud services, operating in both B2B and B2C markets globally.

Remote Hiring Policy:

NVIDIA supports flexible remote work arrangements and hires from various regions globally, including the Americas, Europe, Asia, and the Middle East, with roles that may require collaboration across time zones.

Job Type

Full-time

Allowed Applicant Locations

United States

Salary

$208,000 to $327,750 per year

Job Description

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!What you'll be doing:Create and optimize pre-training/inference and post-training frameworks for RecSys and Generative Recommender researchers and production model buildersDevelop product strategy, roadmaps, and go-to-market plansCollaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycleWork with leadership to align with and drive company strategyWhat we need to see: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 deliveryExperience with large scale distributed systemsBS 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 companyStrong communication and interpersonal skillsWays to Stand Out from the crowd:Experience leading GR systems - GEM, TIGERWorking on Open Source & Github-first developer products with deep customer interactionsKnowledge of GPU architecture, HW/SW co-design, and performance profilingYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until April 16, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.