Senior Product Manager - AI Platform Inference
NVIDIA is hiring a Senior Product Manager - AI Platform Inference in Santa Clara, United States. It pays $168k-$259k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions vLLM among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
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
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 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.How we rate this
Senior Product Manager - AI Platform Inference at NVIDIA rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $168k
- Typical AI product manager job
- $180k
This posting starts 7% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- What's a project where you used vLLM hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: vLLM. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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