Jobs at CoreWeave

Build and lead CoreWeave’s university recruiting program, including strategy, campus partnerships, recruiting processes, internship programming, candidate assessment, and conversion initiatives. Manage and develop a recruiting team, collaborate with hiring leaders to forecast early-career needs, establish scalable and inclusive processes, track program metrics, manage budgets, and strengthen the employer brand among technical student audiences.

Supports capacity finance and long-term demand planning through financial forecasting, complex capital expenditure modeling, unit economics analysis, infrastructure reporting, KPI tracking, variance and scenario analysis, and executive reporting. The role partners with engineering, operations, accounting, and executive stakeholders to improve planning processes, automate financial analytics, and support infrastructure-related decision-making.

Leads recruiting coordination and interview operations teams, including people development, workforce planning, capacity management, reporting, and candidate experience. Partners with recruiting leaders and business stakeholders to scale processes, improve service delivery, and implement cross-functional changes. Uses recruiting data, dashboards, and operational metrics to guide workforce decisions, identify risks, and recommend improvements across regions and hiring groups.

Own and improve CoreWeave’s vulnerability management program across applications, cloud infrastructure, and hardware. Build production security automation, triage and remediation workflows, prioritization models, metrics, and risk reporting. Investigate hardware-adjacent vulnerabilities, support zero-day response, conduct root-cause analysis, and collaborate with engineering and operational stakeholders. Contribute to architecture decisions, technical standards, code reviews, documentation, and teammate onboarding.

Lead CoreWeave’s Product Security organization and strategy across application security, vulnerability management, offensive security, AI product security, and PSIRT. Build an agentic-first security program, establish secure development practices, oversee vulnerability remediation and adversarial testing, and protect cloud and AI products. Manage managers and senior engineers, integrate existing teams, partner with engineering and product leadership, and develop scalable security capabilities across the company.

Lead executive and internal communications for the COO, serving as a strategic advisor and shaping leadership narratives, messaging, and organizational alignment. Draft executive remarks, business updates, Q&As, video scripts, and employee communications; support speaking engagements and change communications; partner with Marketing and External Communications; establish communication planning processes; and measure employee engagement effectiveness across a distributed operations workforce.

Leads CoreWeave’s cyber threat intelligence program, including team management, intelligence collection, adversary research, threat hunting, platform engineering, automation, and incident support. Integrates intelligence into vulnerability management, detection engineering, application security, incident response, and business workflows. Oversees technical intelligence products, executive assessments, original collection capabilities, vendor relationships, and cross-functional partnerships while measuring the program’s impact on security and business decisions.

Write and maintain technical documentation, runbooks, workflows, guides, and engineering onboarding content. Partner with engineers and subject matter experts to capture undocumented knowledge, manage Confluence structure and content lifecycle, support knowledge hubs, process documentation requests, and audit content for accuracy and discoverability. The role also requires prioritizing work across stakeholder teams and applying documentation standards and AI tools.

Manages data center self-development projects from site acquisition through construction handoff. Responsibilities include integrated schedule and budget control, permitting and entitlement coordination, due diligence, consultant management, risk tracking, executive reporting, and coordination across design, construction, utilities, legal, environmental, and government affairs teams.

Leads CoreWeave’s multidisciplinary data center engineering organization and sets technical direction for its global portfolio. Governs Basis of Design documents, reference designs, standards, and long-term infrastructure roadmaps. Oversees integrated engineering across electrical, mechanical, civil, structural, architectural, controls, and life-safety disciplines; leads technical reviews, innovation, reliability, sustainability, supplier engagement, and resource planning. Partners with design, construction, commissioning, operations, technology, and supply chain teams to deliver scalable, high-density AI infrastructure.

Owns technical documentation, onboarding curricula, information architecture, and content lifecycle for Fleet Reliability Operations. The role writes runbooks, workflows, escalation guides, and systems documentation; audits and improves Confluence content; interviews subject matter experts; manages documentation requests; defines standards; and measures onboarding effectiveness for operations engineers across regions.

Own full-cycle recruiting for GTM, Sales, Solutions Architecture, and business roles. Partner with senior leaders on hiring plans, role calibration, sourcing, assessment, offer strategy, and closing. Advise on leveling, compensation, interview design, and decision quality while managing recruiting funnels, timelines, metrics, candidate experience, and process improvements. Provide additional recruiting support for Finance, Legal, People Operations, Marketing, IT, Procurement, and Executive Support.

Configure, provision, monitor, and maintain large-scale GPU supercomputing clusters. Troubleshoot hardware, software, networking, and platform issues; coordinate resolutions across infrastructure teams; analyze system performance; document processes; improve operational efficiency; and participate in after-hours and weekend on-call rotations.

Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.

Leads FP&A for the CPU product organization, including forecasting, budgeting, long-range planning, pricing, financial reporting, risk management, and product strategy analysis. Partners with product, engineering, capacity, infrastructure, and operations teams to evaluate investments, develop forecasts, define launch metrics, and support growth initiatives.

Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.

Develop AI agents, copilots, full-stack applications, backend services, and enterprise integrations for internal business workflows. Build React and TypeScript interfaces, automate data processing, integrate LLM APIs, write tests, troubleshoot defects, and support deployments. Collaborate with engineers and business stakeholders across Finance, Supply Chain, HR, Legal, and data center operations while following security, monitoring, documentation, and code-quality practices.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Lead the vision, strategy, roadmap, portfolio, and go-to-market execution for AI inference cloud services. Partner with engineering, customers, sales, marketing, and industry partners to solve scaling and optimization challenges across specialized GPU infrastructure. Evaluate AI and cloud technology trends, define differentiated inference capabilities, translate customer needs into product investments, and drive business growth through innovative AI cloud products.

Lead technical direction for vulnerability management, including security tooling, automation, LLM-based workflows, risk assessment, remediation, and vulnerability investigations. Build production services integrating security data, coordinate remediation across engineering teams, participate in vulnerability response, conduct post-mortems, and mentor engineers. The role also evaluates exploitability, attack paths, CVEs, and remediation priorities across cloud, Linux, container, and Kubernetes environments.