Knowledge Architect

CoreWeave • Sunnyvale, CA

4d • $134,000 - $179,000

About The Position

The Knowledge Architecture team at CoreWeave owns how the Product and Engineering organization captures, structures, and shares knowledge. The team develops internal documentation, onboarding content, and technical education programs, and sets standards and builds ontology infrastructure to keep knowledge accurate as the company scales.

As an IC3 (Practitioner) Knowledge Architect, you will provide documentation and knowledge-infrastructure capacity for the team. You will write and maintain internal technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides, and build and maintain onboarding content for new engineers. You will work directly with engineers and subject matter experts to document knowledge that is currently informal or undocumented, while maintaining CMS structure, navigation, and content lifecycle to make information findable. You will follow standards set by the Staff Knowledge Architect and take requests through the intake process from scoping to publication.

Requirements

• Experience writing and maintaining technical documentation for a technical audience, such as systems documentation, runbooks, workflows, or developer guides.
• Demonstrated experience interviewing engineers or subject matter experts and turning what is learned into published documentation.
• Experience owning content in Confluence or a comparable platform, including page structure, navigation, labeling, and templates.
• Demonstrated experience consistently applying a documentation style guide and template set, and using AI tools to scale and improve output.
• Experience auditing an existing documentation estate and remediating gaps in accuracy, coverage, or discoverability.
• Experience managing a request queue in Jira or a comparable system, including scoping work and committing to delivery dates.
• Demonstrated ability to prioritize and deliver across multiple concurrent stakeholder teams.
• Must meet applicable U.S. export-control eligibility requirements for access to export-controlled information.

Nice To Haves

• Experience documenting cloud, Kubernetes, GPU, and AI/ML infrastructure.
• Experience building or maintaining onboarding content for engineering organizations.
• Experience with docs-as-code workflows.
• Experience with enterprise search and content discoverability, including how structure and metadata affect retrieval.
• Experience defining information architecture for a large or fragmented content estate.
• Experience documenting HPC or ML workload schedulers such as Slurm, Slurm on Kubernetes (SUNK), or Kueue, including day-2 operations such as upgrades, node drain states, and control-plane troubleshooting.
• Familiarity with inference and training stacks used by ML platform teams, such as vLLM, SGLang, TensorRT-LLM, or NCCL, and with how benchmarks such as MLPerf are run and reported.
• Experience writing for both platform engineers who operate a system and researchers or customers who consume it, such as producing runbooks and user-facing documentation for the same product.

Responsibilities

• 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 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 Knowledge Architecture-maintained hubs.
• Take documentation requests through intake, scoping, delivery, and publication, and communicate scope, timelines, and status to requesting teams.
• Run recurring audits of the published documentation estate for accuracy, coverage, and discoverability, and remediate identified gaps.

Benefits

• Discretionary bonus and equity awards, subject to eligibility.
• Medical, dental, and vision insurance, 100% paid for by CoreWeave for eligible U.S.-based full-time employees.
• Company-paid life insurance.
• Voluntary supplemental life insurance.
• Short- and long-term disability insurance.
• Flexible Spending Account.
• Health Savings Account.
• Tuition reimbursement.
• Ability to participate in the Employee Stock Purchase Program (ESPP).
• Mental wellness benefits through Spring Health.
• Family-forming support provided by Carrot.
• Paid parental leave.
• Flexible, full-service childcare support with Kinside.
• 401(k) with an employer match.
• Flexible PTO.
• Catered lunch at office and data center locations.
• Casual work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed