NVIDIA

4 weeks ago

CUDA Libraries and Frameworks Product Marketing Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Technical, AI-first PMM role in Santa Clara shaping CUDA developer platform messaging for core libraries and AI frameworks. Own positioning for CUDA, translate low-level features into developer narratives, and drive GTM for CUDA launches. Use AI-assisted workflows to automate research, content, and partner mapping, collaborating with engineers and product teams to articulate performance benefits to developers.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 124,000 - 230,000 annually

Key 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.
•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.

Experience:5+ yearsAccelerated computingAI/MLDeveloper tools

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:CuDNNNCCLCUTLASSTensorRT-LLMPyTorchJAXVLLMSGLangGitHubPythonJavaScript

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

CUDA Libraries and Frameworks Product Marketing Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Manager level

Key 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.

Pay and Benefits

Salary: USD 124,000 - 230,000 annually

Key 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.
•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.

Experience:5+ yearsAccelerated computingAI/MLDeveloper tools

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaboration

Tech Stack:CuDNNNCCLCUTLASSTensorRT-LLMPyTorchJAXVLLMSGLangGitHubPythonJavaScript

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor