CUDA Libraries and Frameworks Product Marketing Manager

NVIDIA•Santa Clara, CA

3d•$124,000 - $230,000•Onsite

About The Position

Be at the forefront of innovation with NVIDIA! Our CUDA Libraries & Frameworks Product Marketing Manager role offers an outstanding opportunity to build the future of accelerated computing. This is your chance to join an elite team in Santa Clara, where your contributions will have a lasting impact on technology and society! We are looking for a technical, AI-first CUDA Product Marketing Manager. This is a hands-on PMM role for someone who uses AI coding agents and automation as part of daily execution, not as an occasional productivity aid. Come help craft the story for CUDA, core NVIDIA acceleration libraries like cuDNN, NCCL, NIXL, and AI frameworks like PyTorch, JAX, vLLM, and SGLang.

Requirements

Bachelor's degree in Computer Science or relevant field (or equivalent experience).
5+ years of technical marketing, developer marketing, or related go-to-market experience for developer software.
Deep technical literacy in accelerated computing, AI/ML software, or adjacent technical ecosystems, with the ability to explain technical tradeoffs and performance claims credibly.
Practical proficiency with developer tools such as GitHub, command-line workflows, APIs, documentation, notebooks, Python or JavaScript, data analysis tools, or lightweight application prototyping.
This role does not require production software engineering, but it does require hands-on technical independence.
A portfolio or walkthrough of AI-guided projects that materially increased speed, quality, insight, or scale, with an emphasis on applications built around Codex, Claude Code, or Cursor.
Showcase personally built or operated, concrete examples of AI-assisted workflows – such as content review systems, dashboards, or launch trackers.

Nice To Haves

Practical experience in CUDA, GPU programming, Python, C++, working with machine learning tools including PyTorch, JAX, and vLLM, or SGLang.
Experience marketing core developer platforms, SDKs, libraries, or open-source frameworks to deeply technical audiences, with evidence that your messaging survives engineering review.

Responsibilities

Own positioning and messaging for CUDA as a developer platform, including the CUDA programming model, compilers, and core libraries.
Make technical capabilities clear, credible, and useful for developers and technical decision-makers.
Translate technical features for core libraries such as cuDNN, NCCL, CUTLASS, and TensorRT-LLM into data-driven developer narratives, release messages, proof points, ecosystem informed claims, and field-ready assets.
Describe how NVIDIA speeds up AI frameworks and runtimes such as PyTorch, JAX, vLLM, and SGLang, linking low-level platform features to benefits for developers.
Use AI coding agents daily to build PMM operating systems: competitive-intelligence agents, automated research pipelines, content auditing, reporting, and partner mapping.
Turn documentation, performance benchmarks, GitHub issues, customer signals, and roadmap updates, into messaging assets.
Lead go-to-market execution for CUDA launches and core library releases.