← All roles

Senior Content Engineer, KnowledgeOps

NVIDIA· Tech Writer
Apply on company site
Hybrid (Remote - US), Hybrid (US, TX, Remote), Hybrid (US, NY, Remote), Hybrid (US, OR, Remote), Seattle, WA, Hybrid (US, MA, Remote)$144k - $230kFull-timePosted 4d ago

About the role

Build systems to deliver Simulation Technology knowledge to developers, partners, internal teams, and AI agents; establish information architecture and quality standards for Omniverse, Isaac Sim, and OpenUSD documentation; create automation, pipelines, and AI-ready infrastructure to scale documentation efforts.

Responsibilities

  • Collaborate with documentation leads on knowledge architecture, implement feedback to refine content models and AI-readiness patterns
  • Build and run docs-as-code pipelines: Git authoring, CI/CD builds, linting, link and code-sample validation, publishing
  • Make knowledge AI-ready: structure and package content for RAG, internal assistants, and agentic workflows (llms.txt, MCP-accessible sources, agent skills and context kits, evaluation sets for answer accuracy)
  • Automate the content lifecycle with LLMs and scripting from drafting to auditing, with checks for freshness, code accuracy, and terminology drift, including human review where judgment matters
  • Encode standards into templates, validators, and guided workflows (user stories, release readiness, onboarding, security guidance)
  • Capture tribal knowledge from engineering, product, and operations to create playbooks, decision guides, and self-service paths
  • Measure outcomes (time-to-first-success, support deflection, repeat questions, AI answer quality) and use data to decide what to build, fix, or retire
  • Partner with Engineering, Product, Security, Developer Relations, and Partner Programs to ensure releases are documented, discoverable, and supportable

Qualifications

  • Bachelor’s degree or equivalent experience, plus 8+ years in technical writing, developer documentation, or developer experience for complex software platforms
  • Hands-on docs-as-code experience: Git, pull request review, Markdown/RST, static site generators (Sphinx, MkDocs, Docusaurus, or similar), CI/CD
  • Working proficiency in Python or similar to automate content tasks, transform data, and integrate with APIs
  • Practical experience applying LLMs to content workflows (prompting, retrieval and grounding, output evaluation) and sound judgment about where AI can be trusted
  • 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: fix the class of problem, not just the instance
  • A collaborative style: translate design intent into working systems and provide leads with constructive feedback grounded in implementation

Skills

Required:GitMarkdown/RSTCI/CDStatic site generatorsPythonLLMs in content workflows

Benefits

  • equity
  • benefits (per NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA