Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are defining the next era of accelerated computing and AI with CUDA, the platform layer that lets developers turn NVIDIA GPUs into programmable engines for AI, science, data processing, simulation, robotics, and new categories of software. We are looking for a technical, AI-first CUDA Product Marketing Manager. CUDA has been a C++ platform for most of its twenty years. Python became a first-class language in May 2026. CUDA Rust is what we’re building next. This role owns how that story gets told. You will own the story for the CUDA language ecosystem across C++, Python, and Rust, market it through NVIDIA channels and events, and connect it to the AI frameworks developers build on, including PyTorch, JAX, vLLM, and SGLang. 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. What you'll be doing: • Own positioning and messaging for CUDA Python and CUDA Rust, translating compiler and programming-model capabilities into crisp developer narratives, release messages, proof points, and field-ready assets. Support CUDA C++ messaging as needed. You will make the capabilities of each clear, credible, and useful to developers and technical decision makers. • 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 language releases. • Run multi-year language adoption campaigns. You will plan and sustain those campaigns across releases, conferences, and community moments rather than executing one-off launches. • Build presence in language communities. Plan and execute conference activations, meetups, livestreams, and developer content across the Python and Rust ecosystems, where credibility is earned through sincere participation rather than sponsorship. • Connect the language story to the frameworks developers actually use. Explain how work at the CUDA language layer shows up in PyTorch, JAX, vLLM, and SGLang What we need to see: • B.S degree or equivalent experience with 5+ years of product marketing, technical marketing, or developer marketing experience for developer software. Note that this role leans substantially more technical than a typical PMM position and will include technical interviews. • Working fluency in Python and/or Rust. You do not need to ship production software, but you do need to read real code, follow a technical discussion without a translator, and write copy that survives engineering review. • 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 fluency with developer tools such as GitHub, command-line workflows, APIs, documentation, notebooks, data analysis tools, or lightweight application prototyping. • Daily or near-daily use of AI coding and productivity agents such as Codex, Claude Code, Cursor, or comparable tools to research, analyze, write, prototype, automate, and ship work with clear source grounding and human review. • Concrete examples of AI-assisted workflows you personally built or operate, such as content review systems, dashboards, or launch trackers Ways to stand out from the crowd: • Existing standing in the Python or Rust communities, whether through contributions, talks, meetup organizing, or sustained participation. • Experience sustaining a developer narrative over multiple release cycles, not just landing individual launches. • A portfolio or walkthrough of AI-agent-driven work that materially improved speed, quality, insight, or scale, especially using Codex, Claude Code, or Cursor. • Hands-on experience with CUDA, GPU programming, Rust, Python, C++, PyTorch, JAX,vLLM, or SGLang. • Experience marketing core developer platforms, SDKs, languages, compilers, or open-source frameworks, to deeply technical audiences, plus evidence that your messaging survives engineering review Known throughout the technology industry as a highly attractive employer, NVIDIA delivers highly competitive salaries and a full benefits package. As you consider your future, explore what we provide for you and your family at www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 152,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 26, 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.

Requirements

Must-haves

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 language releases.
Run multi-year language adoption campaigns. You will plan and sustain those campaigns across releases, conferences, and community moments rather than executing one-off launches.
Connect the language story to the frameworks developers actually use. Explain how work at the CUDA language layer shows up in PyTorch, JAX, vLLM, and SGLang
Working fluency in Python and/or Rust. You do not need to ship production software, but you do need to read real code, follow a technical discussion without a translator, and write copy that survives engineering review.
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 fluency with developer tools such as GitHub, command-line workflows, APIs, documentation, notebooks, data analysis tools, or lightweight application prototyping.
Concrete examples of AI-assisted workflows you personally built or operate, such as content review systems, dashboards, or launch trackers
Existing standing in the Python or Rust communities, whether through contributions, talks, meetup organizing, or sustained participation.
Experience sustaining a developer narrative over multiple release cycles, not just landing individual launches.
A portfolio or walkthrough of AI-agent-driven work that materially improved speed, quality, insight, or scale, especially using Codex, Claude Code, or Cursor.
Hands-on experience with CUDA, GPU programming, Rust, Python, C++, PyTorch, JAX,vLLM, or SGLang.
Experience marketing core developer platforms, SDKs, languages, compilers, or open-source frameworks, to deeply technical audiences, plus evidence that your messaging survives engineering review
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonrustgoml

Platform: eightfold
Effort: medium