CoreWeave

Lead the strategy, architecture, and execution of large-scale threat detection and response systems across CoreWeave’s AI cloud infrastructure. This staff-level role combines hands-on detection engineering, team leadership, security data platform development, and incident response.

Build and operate fault-tolerant Kubernetes infrastructure for CoreWeave’s internal systems and customer platform. This senior infrastructure role focuses on automation, cluster lifecycle management, reliability, and production operations.

Build AI agents, copilots, and first-party applications that transform CoreWeave’s internal Finance, Supply Chain, HR, and business operations workflows. This full-stack role combines applied AI, React interfaces, backend services, and enterprise-system integrations.

Own and advance CoreWeave’s vulnerability management systems across applications, cloud infrastructure, and hardware environments. Build production security automation, improve prioritization and remediation workflows, and help respond to zero-day and embargoed disclosures.

Serve as the named technical partner for CoreWeave customers, helping AI teams adopt, expand, and successfully operate workloads across the platform. This customer-facing role combines solutions architecture, hands-on AI expertise, and strategic technical advising.

Senior Security Engineer leading CoreWeave’s Vulnerability Management function, including security tooling, automated remediation workflows, vulnerability investigations, and cross-team remediation efforts. The role combines hands-on software development with vulnerability risk analysis, LLM-based security automation, and technical leadership.

Staff Engineer building CoreWeave’s multi-regional data platform, with a focus on distributed datastores, stream processing, and event-driven architecture. The role combines technical leadership, hands-on systems design, mentoring, and operation of scalable data infrastructure.

CoreWeave is hiring a Senior Software Engineer to build and operate observability infrastructure at extreme scale, spanning metrics, logging, tracing, telemetry pipelines, and visualization. The role supports AI infrastructure with thousands of GPUs and petabyte-scale telemetry while improving reliability, performance, and developer experience.