Inference is the fastest growing and most competitive area in Generative AI today. It is where AI models impact our daily life, and where ever bit of accuracy and performance matters for quality, safety, and cost. Inference is also constantly evolving, with new acceleration algorithms, usecases, and deployment techniques. As a Senior Product Manager for AI Platform Inference you will be responsible for building the tools, SDKs, and libraries which enables developers' Inference deployments to thrive on NVIDIA GPUs.
As NVIDIA Product Managers, our goal is to enable developers to be successful on the NVIDIA Platform, and push the boundaries of what is possible with their AI deployments! For Inference, we are the champions inside NVIDIA for AI developers looking to accelerate their deployments on GPUs. We work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the inference 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 solutions for developers. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great for developers. Does that sounds familiar? If so, we would love to hear from you!
What you'll be doing:
Create products to help developers build better Inference deployments
Develop product strategy, roadmaps, and go-to-market plans
Collaborate with internal and external developers to build product-based roadmaps for model optimization software
Work with leadership to align with and drive company strategy
What we need to see:
Experience with Inference deployment and optimization software (ex. vLLM, SGLang, FlashInfer, TensorRT-LLM, Triton, Dynamo, TorchAO, etc.)
Demonstrable knowledge of GenAI or machine learning concepts, particularly around performance optimization, and software development and delivery
BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
6+ 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 optimization products for Inference
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 inference deployment and optimization software (vLLM, SGLang, FlashInfer, TensorRT-LLM, Triton, Dynamo, TorchAO, etc.)
- Demonstrable knowledge of Generative AI or machine learning concepts, particularly performance optimization and software development/delivery
- BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
- 6+ years of technical product management or similar experience at a technology company
- Strong communication and interpersonal skills
- Experience leading optimization products for inference
- Experience working on open source and GitHub-first developer products with 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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