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.
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
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
- 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
- Practical proficiency with developer tools (GitHub, command-line workflows, APIs, notebooks, Python or JavaScript, lightweight prototyping)
- Portfolio or walkthrough of AI-guided projects that materially increased speed, quality, insight, or scale (emphasis on Codex, Claude Code, or Cursor)
- Shown examples of personally built or operated AI-assisted workflows (content review systems, dashboards, launch trackers)
- Practical experience in CUDA, GPU programming, Python, C++, PyTorch, JAX, vLLM, or SGLang
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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