The posting, in CoreWeave's own words
archived Oct 19, 2026CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
What you'll do
The Knowledge Architecture team at CoreWeave owns how the Product and Engineering organization captures, structures, and shares everything it knows. We build the internal documentation, onboarding content, and technical education programs that let engineers find answers and get productive fast, and we set the standards and create the ontology infrastructure that keeps that knowledge accurate as the company scales. If you want your work used by every team in a company operating at the frontier of AI infrastructure, this is the team to join.
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About the role
As an IC3 (Practitioner) Knowledge Architect, you will add dedicated documentation and knowledge infrastructure capacity to our team. You will write and maintain internal technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides, and you will build and maintain the onboarding content new engineers rely on in their first weeks. You will work directly with engineers and subject matter experts to capture knowledge that today exists only in people's heads, and you will help maintain the CMS structure, navigation, and content lifecycle that makes it findable. You will work to the standards set by the Staff Knowledge Architect and take requests through our intake process from scoping to publication.
In this role, you will:
Write, edit, and maintain internal technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides. Build and maintain onboarding and informational content for department and team spaces, and backfill coverage for teams not yet served. Partner with engineering teams and subject matter experts to capture knowledge that is currently undocumented or held informally. Maintain knowledge assets in Confluence, including space structure, navigation, labeling, and content lifecycle. Support the AI Developer Tools Hub and other KA-maintained hubs. Take documentation requests through intake, scoping, delivery, and publication, and communicate scope, timelines, and status to requesting teams. Run recurring audits against KA's published estate for accuracy, coverage, and discoverability, and remediate the gaps you find.