Senior Content Engineer, KnowledgeOps

🕒 October 16

🗽 New York, Oregon, +3 more states – Remote

🗽 New York – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $144k - $276k / year

⏰ Full Time

🟠 Senior

✍️ Content Marketing Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Collaborate with documentation leads on knowledge architecture and refine content models, information architecture, and AI-readiness patterns • Build and run docs-as-code pipelines including Git authoring, CI/CD builds, linting, link and code-sample validation, and publishing • Structure and package content for RAG, internal assistants, and agentic workflows, including llms.txt, MCP-accessible sources, agent skills and context kits, and evaluation sets • Automate the content lifecycle with LLMs and scripting from drafting and updating to auditing • Implement checks for freshness, code accuracy, and terminology drift, with human review where judgment matters • Encode standards into templates, validators, and guided workflows • Capture tribal knowledge and turn it into playbooks, decision guides, and self-service paths • Measure time-to-first-success, support deflection, repeat questions, and AI answer quality • Partner with Engineering, Product, Security, Developer Relations, and Partner Programs to ensure releases are documented, discoverable, and supportable

🎯 Requirements

• Bachelor's degree or equivalent experience • 8+ years in technical writing, developer documentation, or developer experience for complex software platforms • Hands-on docs-as-code experience with Git, pull request review, Markdown/RST, static site generators such as Sphinx, MkDocs, or Docusaurus, and CI/CD • Working proficiency in Python or similar for automating content tasks, transforming data, and integrating with APIs • Practical experience applying LLMs to content workflows, including prompting, retrieval and grounding, and output evaluation • Sound judgment about where AI can be trusted • Information architecture skills including content modeling, taxonomy, and metadata for navigation and machine retrieval • Technical depth to read code and APIs, verify accuracy, and write working examples • Systems mindset focused on solving classes of problems • Collaborative style and ability to provide constructive, implementation-grounded feedback • Experience with RAG pipelines, AI assistants, MCP servers, or agent skill and context libraries backed by documentation • Documentation experience in graphics, simulation, robotics, or real-time systems; familiarity with USD, Omniverse, Isaac Sim, or ROS • Experience building content quality automation such as Vale, custom linters, doc test harnesses, or freshness monitoring • Measurable reductions in support load or onboarding time through self-service knowledge systems • Open source contributions or published work on docs-as-code, AI-assisted documentation, or knowledge engineering

🏖️ Benefits

• Equity • Benefits