CUDA Libraries and Frameworks Product Marketing Manager

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$124,000–$195,500 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k
This role $160k
$108k most similar roles pay here $275k

This role pays less than 88% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 963 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 952 roles with salary data.

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At a glance

TL;DR · CUDA Libraries and Frameworks Product Marketing Manager

Role Posting Log in to save

Join NVIDIA as a CUDA Libraries & Frameworks Product Marketing Manager in Santa Clara, a senior-level position within an elite team at the forefront of accelerated computing. This role involves crafting technical narratives and messaging for CUDA and its core libraries like cuDNN and NCCL, translating complex features into developer-friendly content and field-ready assets. You will use AI coding agents daily to build PMM operating systems, automate research pipelines, and create competitive intelligence tools. Essential skills include deep knowledge of accelerated computing, proficiency in Python or JavaScript, and hands-on experience with CUDA, GPU programming, and machine learning frameworks such as PyTorch and JAX. Ideal candidates have a background in technical marketing for developer software and can demonstrate AI-guided projects that enhance productivity and scale.

Skills

CUDA cuDNN NCCL CUTLASS TensorRT-LLM PyTorch JAX vLLM SGLang GitHub Python JavaScript APIs DataAnalysisTools GitLab CI/CD AIcodingagents Codex ClaudeCode Cursor

What you'll do

  • Own positioning and messaging for CUDA as a developer platform, making technical capabilities clear and useful.
  • Translate core library features into data-driven narratives and release messages for developers.
  • Describe how NVIDIA accelerates AI frameworks like PyTorch and JAX, linking low-level features to benefits.
  • Use AI coding agents daily to build competitive-intelligence pipelines and content auditing systems.
  • Turn performance benchmarks and customer signals into messaging assets for CUDA launches.
  • Lead go-to-market execution for CUDA launches and core library releases.

What we're looking for

  • 5+ years of technical marketing experience in developer software
  • Deep understanding of accelerated computing and AI/ML software ecosystems
  • Practical proficiency with GitHub, command-line workflows, APIs, and data analysis tools
  • Portfolio showcasing AI-guided projects that increased speed or quality
  • Experience working with CUDA, GPU programming, Python, C++, and ML tools like PyTorch
  • Proven ability to market core developer platforms to technical audiences
  • Hands-on experience using AI coding agents daily for marketing tasks

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