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 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, 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 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 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 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 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
Ways to Stand Out from the crowd:
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
You will also be eligible for equity and benefits.
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.Skills Required
- Experience with design and scaling of training/inference post-training and optimization software (Torchtitan, FSDP)
- Demonstrable knowledge of GenAI or machine learning concepts, including model training, performance optimization, inference, and software delivery
- Experience with large scale distributed systems
- BS or MS degree in Computer Science, Computer Engineering, or equivalent experience
- 10+ years of technical product management or similar experience at a technology company
- Strong communication and interpersonal skills
- Background with leading OSS RL frameworks like VeRL
- Experience with orchestration and reliability at scale
- Experience with Open Source and GitHub-first developer products and deep customer interactions
- Knowledge of GPU architecture, HW/SW co-design, and performance profiling
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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