AI-Driven Documentation Architect

NVIDIA Corporation

United States

On-site

USD 144,000 - 276,000

Full time

10 days ago

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Job summary

NVIDIA Corporation is hiring a writer who builds documentation systems and AI-ready pipelines for Omniverse, Isaac Sim, and OpenUSD. You will turn tribal knowledge into tooling, templates, and self-service paths, enabling scalable documentation workflows.

You will collaborate with documentation leads, create docs-as-code pipelines, and package content for RAG and internal assistants, while ensuring content stays accurate and up-to-date across complex software platforms.

Qualifications

  • Bachelor's degree or equivalent experience with 8+ years in technical writing.
  • Hands-on docs-as-code: Git, PR reviews, Markdown/RST, and CI/CD.
  • Proficiency in Python or similar to automate content tasks and APIs.
  • Experience applying LLMs to content workflows with sound judgment.
  • Info architecture: content modeling, taxonomy, metadata.
  • Read code and APIs and write working examples.

Responsibilities

  • Collaborate with docs leads on knowledge architecture and AI readiness.
  • Build and run docs-as-code pipelines: Git, CI/CD, linting, publishing.
  • Package content for RAG, internal assistants, and agent workflows.
  • Automate content lifecycle with LLMs and scripting, with reviews.
  • Encode standards into templates, validators, and guided workflows.

Skills

Bachelor's degree or equivalent
8+ years technical writing
Docs-as-code experience
Git, PR reviews
Markdown/RST, SSGs
CI/CD
Python for automation
LLMs in workflows
Information architecture
Reading code & APIs
Systems thinking
Collaborative style

Education

Bachelor's degree or equivalent experience

Tools

Git
Markdown/RST
Sphinx/MkDocs/Docusaurus
CI/CD pipelines
Python

Job description

NVIDIA Corporation is hiring a writer who builds documentation systems and AI-ready pipelines for Omniverse, Isaac Sim, and OpenUSD. You will turn tribal knowledge into tooling, templates, and self-service paths, enabling scalable documentation workflows.

You will collaborate with documentation leads, create docs-as-code pipelines, and package content for RAG and internal assistants, while ensuring content stays accurate and up-to-date across complex software platforms.

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