Senior KnowledgeOps Engineer

NVIDIA Corporation; Seattle (WA); On-site; USD 144,000 - 276,000; Full time

Job summary

NVIDIA seeks a KnowledgeOps writer to build AI-ready documentation infrastructure for Omniverse, Isaac Sim, and OpenUSD. You will create tooling, templates, and self-service paths that make correct content accessible at scale.

You’ll collaborate with engineers and docs leads, automate docs-as-code pipelines, and shape information architecture that supports RAG and internal assistants while maintaining quality and consistency across platforms.

Qualifications

• Bachelor's degree or equivalent experience with 8+ years in technical writing or developer documentation for complex software platforms.
• Hands-on docs-as-code experience with Git, pull request reviews, Markdown/RST, and static site generators (Sphinx, MkDocs, Docusaurus) and CI/CD.
• Working proficiency in Python to automate content tasks, transform data, and integrate with APIs.
• Practical experience applying LLMs to content workflows (prompting, grounding, evaluation) and judgment on AI trust.
• Information architecture skills: content modeling, taxonomy, and metadata for navigation and machine retrieval.
• Enough technical depth to read code and APIs, verify accuracy, and write working examples.
• A systems mindset and collaborative style to turn design intent into working systems.

Responsibilities

• Collaborate with documentation leads on knowledge architecture, sharing implementation feedback to refine models and patterns.
• Build and run docs-as-code pipelines: Git authoring, CI/CD builds, linting, link and code-sample validation, and publishing.
• Make knowledge AI-ready: structure content for RAG, internal assistants, and agent workflows including llms.txt and MCP‑accessible sources.
• Automate the content lifecycle with LLMs and scripting, with checks for freshness, code accuracy, and terminology drift.
• Encode standards into templates, validators, and guided workflows rather than static documents.
• Capture tribal knowledge and turn it into playbooks, decision guides, and self-service paths.
• Measure outcomes like time-to-first-success and AI answer quality to guide what to build, fix, or retire.
• Partner with Engineering, Product, Security, Developer Relations, and Partner Programs to ensure releases are documented and discoverable.

Skills

Technical writing

Content modeling

LLMs

Python scripting

APIs

Collaboration

Systems thinking

Education

Bachelor's degree or equivalent experience

Tools

Git

Markdown

RST

Sphinx

MkDocs

Docusaurus

CI/CD

Job description

NVIDIA seeks a KnowledgeOps writer to build AI-ready documentation infrastructure for Omniverse, Isaac Sim, and OpenUSD. You will create tooling, templates, and self-service paths that make correct content accessible at scale.

You’ll collaborate with engineers and docs leads, automate docs-as-code pipelines, and shape information architecture that supports RAG and internal assistants while maintaining quality and consistency across platforms.