Principal Product Manager, AI Frameworks
Nvidia
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This role on the market
38 open frameworks roles across 18 companies are on ApplySarthi right now, most of them in Bengaluru (2).
- AI Frameworks Engineer - InternIntel
- Principal, Software Engineer - Enterprise Automation Frameworks & SupportHumana
- Staff Software Engineer - FrameworksJobgether
- Frontend Software Engineer - Frameworks & Dev PlatformsLowes
- Senior Software Engineer, Test Frameworks & ToolsRoblox
What frameworks roles keep asking for: Python (53%), Machine learning (47%), C++ (39%), PyTorch (37%), Deep learning (24%), LLMs (24%), Agile (21%), System design (18%) — counted across their open postings here.
Product Manager jobs in the United States · Remote Product Manager jobs · Deep learning jobs · Generative AI jobs · Machine learning jobs · Product management jobs
Nvidia has 3,820 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for frameworks roles keep coming back to Python, Machine learning, C++, PyTorch. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Product management? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Principal Product Manager, AI Frameworks at Nvidia interview free →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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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.