5 days ago

Principal Product Manager, AI Frameworks

NVIDIA

On Site
Full Time
$310,000
Santa Clara, CA

Job Overview

Job TitlePrincipal Product Manager, AI Frameworks
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$310,000
LocationSanta Clara, CA

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Job Description

Job Summary

At NVIDIA, we empower customers on their AI journey through our GPUs, building best-in-class frameworks in open-source software (OSS) and supporting a robust ecosystem of other OSS frameworks. As a Principal Product Manager for AI Platform training, you will be responsible for creating the tools, SDKs, and libraries that enable model builders to achieve optimal large-scale performance, resilience, and user experience on NVIDIA GPUs.

As NVIDIA Product Managers, our core mission is to ensure researchers and operators succeed on the NVIDIA Platform and push the boundaries of what's possible in their research and its transition to production. We are the champions within NVIDIA for frontier model builders striving to maximize scale and resilience for current and emerging modeling paradigms on GPUs. We collaborate directly with customers, both internal and external, to identify critical improvements, develop strategic roadmaps, and monitor the evolving training and post-training landscape. Additionally, we work with NVIDIA leadership to define clear product strategies and with marketing teams to construct effective go-to-market plans. The Product Management organization at NVIDIA is a compact, influential, and high-impact group. Our focus is on enabling deep learning across all GPU use cases and delivering exceptional products to our users. We are looking for a unique combination of product management expertise, profound technical knowledge, and a fervent passion for elevating NVIDIA's impact. If this resonates with you, we encourage you to connect!

What You'll Be Doing

  • Create products 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 training/post-training and optimization software (e.g., PyTorch distributed, torchtitan, VeRL, Nemo Framework).
  • 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 GenAI/RecSys 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.

Key skills/competency

  • Product Management
  • AI Frameworks
  • GPU Optimization
  • Distributed Systems
  • GenAI / Machine Learning
  • PyTorch Distributed
  • Software Development
  • Roadmap Development
  • Go-to-Market Strategy
  • Customer Collaboration

Tags:

Principal Product Manager
Product Management
AI
Frameworks
Strategy
Roadmapping
Go-to-Market
Customer Collaboration
Performance Optimization
Distributed Systems
Software Development
PyTorch
GenAI
Machine Learning
GPUs
Open Source
GitHub
Deep Learning
Inference
SDKs
Libraries

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight extensive experience in AI frameworks, product management, and GPU optimization relevant to NVIDIA.
  • Showcase technical depth: Emphasize expertise in GenAI, ML, distributed systems, and specific frameworks like PyTorch during interviews.
  • Prepare for strategic discussions: Be ready to discuss product strategy, roadmapping, and cross-functional leadership, demonstrating strong communication skills.
  • Understand NVIDIA's AI vision: Articulate how your experience aligns with their GPU-centric AI ecosystem and commitment to open-source innovation.

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