Drimva

CoreWeave

Knowledge Architect

$134K–$179K

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA +3 · Full-time · Posted Oct 19, 2026

Location
Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Manhattan, New York, United States
Sunnyvale, California, United States
Visa sponsorship
The role requires access to export-controlled information. Applicants must be a U.S. person, eligible to access the information without export authorization, or eligible and reasonably likely to obtain the required authorization. CoreWeave may decline to pursue export licensing.

About the job

Creates and maintains technical documentation, onboarding content, and knowledge infrastructure so Product and Engineering teams can capture and find accurate information.

What you'll do

  • Write, edit, and maintain internal technical documentation and engineering onboarding content.
  • Partner with engineers and subject matter experts to capture undocumented knowledge; maintain Confluence structure and content lifecycle.
  • Manage documentation requests from intake through publication and audit existing content for accuracy, coverage, and discoverability.

What they ask for

  • Experience writing and maintaining technical documentation for technical audiences.
  • Experience interviewing engineers or subject matter experts and turning findings into published documentation.
  • Experience owning content in Confluence or a comparable platform, and applying documentation style guides and templates consistently.
  • Experience auditing documentation and managing a request queue in Jira or a comparable system; ability to prioritize across concurrent stakeholder teams.

Nice to have

  • Experience documenting cloud, Kubernetes, GPU, AI, or ML infrastructure, or building engineering onboarding content.
  • Experience with docs-as-code, enterprise search, information architecture, or HPC/ML workload schedulers and inference or training stacks.

Pay

USD 134,000 to USD 179,000 (base salary)

Tools

Confluence, Jira, Kubernetes, GPU, Slurm, SUNK, Kueue, vLLM

AI focus

Use AI tools to scale and improve documentation output; support the AI Developer Tools Hub.

Model-written summary · the original posting is authoritative

First seen Oct 20, 2026 · Last verified Nov 4, 2026 (UTC)