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.

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.

Preferred

• 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.

Benefits

• equity and benefits