Job description

CoreWeave 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. 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. Who you are 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 converting what you learn into published documentation. Experience owning content in Confluence or a comparable platform, including page structure, navigation, labeling, and templates. Demonstrated experience applying a documentation style guide and template set consistently, and in using AI tools to scale and improve your 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. Preferred Experience documenting cloud, Kubernetes, GPU, and AI and 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 the inference and training stack that ML platform teams build on, such as vLLM, SGLang, TensorRT-LLM, or NCCL, and with how benchmarks such as MLPerf are run and reported. Experience writing for both the platform engineers who operate a system and the researchers or customers who consume it; for example runbooks and user-facing documentation for the same product. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love turning an undocumented system into a page someone can actually follow. You're curious about how things work, and you ask the question the engineer assumed everyone already knew the answer to. You're an expert at structuring information so people find it without being told where it lives. You like working with a small, collaborative, tight-knit team. You'd rather fix the root cause of a recurring question than answer it again. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $134,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave 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 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 a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Requirements

Must-haves

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.
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 converting what you learn into published documentation.
Experience owning content in Confluence or a comparable platform, including page structure, navigation, labeling, and templates.
Demonstrated experience applying a documentation style guide and template set consistently, and in using AI tools to scale and improve your output
Experience auditing an existing documentation estate and remediating gaps in accuracy, coverage, or discoverability.

Nice-to-haves

Experience documenting cloud, Kubernetes, GPU, and AI and 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 the inference and training stack that ML platform teams build on, such as vLLM, SGLang, TensorRT-LLM, or NCCL, and with how benchmarks such as MLPerf are run and reported.
Experience writing for both the platform engineers who operate a system and the researchers or customers who consume it; for example runbooks and user-facing documentation for the same product.
You love turning an undocumented system into a page someone can actually follow.
You're curious about how things work, and you ask the question the engineer assumed everyone already knew the answer to.
You're an expert at structuring information so people find it without being told where it lives.
You like working with a small, collaborative, tight-knit team.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijirakubernetesmlllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness