CUDA Libraries and Frameworks Product Marketing Manager

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $124,000–$195,500 / yr
Posted: 36 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $222k

This role $160k

$107k most similar roles pay here $280k

This role pays less than 94% of similar roles. Most pay $190,775–$252,987 — the shaded band above. At the midpoint, this role pays about $160k versus about $222k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · CUDA Libraries and Frameworks Product Marketing Manager

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The CUDA Libraries and Frameworks Product Marketing Manager joins the team to own positioning and messaging for CUDA as a developer platform, including programming models, compilers, and core libraries. This hands-on role involves translating technical features of libraries like cuDNN, NCCL, CUTLASS, and TensorRT-LLM into data-driven narratives and field-ready assets. The manager will describe how NVIDIA accelerates AI frameworks such as PyTorch, JAX, vLLM, and SGLang while utilizing AI coding agents for research pipelines and content auditing. Candidates must possess technical literacy in accelerated computing and AI/ML software, alongside proficiency with GitHub, Python, JavaScript, and command-line workflows. The role focuses on the developer ecosystem, requiring the ability to communicate complex performance claims and trade-offs regarding GPU programming, CUDA libraries, and open-source frameworks to highly technical audiences and decision-makers.

Skills

CUDA PyTorch JAX vLLM SGLang cuDNN NCCL TensorRT-LLM CUTLASS Python C++ JavaScript GitHub Command-line APIs AI Coding Agents Accelerated Computing Machine Learning

What you'll do

Own positioning and messaging for CUDA as a developer platform including programming models, compilers, and core libraries.
Translate technical features of libraries like cuDNN, NCCL, and TensorRT-LLM into data-driven narratives and field-ready assets.
Create content that explains how NVIDIA accelerates AI frameworks such as PyTorch, JAX, vLLM, and SGLang.
Use AI coding agents daily to build automated research pipelines, competitive intelligence tools, and reporting systems.
Convert technical documentation, performance benchmarks, and customer signals into actionable marketing messaging assets.
Lead go-to-market execution for CUDA launches and core library releases.

What we're looking for

Bachelor's degree in Computer Science or a 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 and AI/ML software ecosystems to explain technical tradeoffs and performance claims.
Proficiency with developer tools including GitHub, command-line workflows, APIs, documentation, Python, JavaScript, and data analysis tools.
Proven ability to use AI coding agents and automation as a core part of daily execution for research, content auditing, and reporting.
A portfolio or walkthrough of projects using AI-guided tools like Codex, Claude Code, or Cursor to improve workflow scale or quality.
Experience marketing developer platforms, SDKs, libraries, or open-source frameworks to technical audiences.
Practical experience with CUDA, GPU programming, C++, PyTorch, JAX, vLLM, and SGLang.

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