CoreWeave operates a bare-metal GPU cloud platform built on Kubernetes, Python, and custom operators—infrastructure designed for training and inference workloads. The company is actively adopting enterprise resource planning (SAP, Oracle, NetSuite) alongside RAG and MCP, while simultaneously addressing fleet reliability and SOX compliance challenges that signal rapid scaling across multiple data centers. Engineering dominates the 1,000+ headcount, with parallel investment in ops, security, and finance roles, reflecting the operational complexity of running a distributed GPU infrastructure business.
Notable leadership hires: Creative Director, Sales Development Director, Chief of Staff, Product Director, Director Accounting Enablement
CoreWeave provides GPU compute infrastructure for AI model training and inference, targeting ML teams and enterprises that need performance-optimized alternatives to general-purpose cloud. The platform spans bare-metal provisioning, Kubernetes orchestration, and GPU fleet management across multiple geographies. Operational footprint spans the US, UK, Poland, Denmark, Ireland, Sweden, Canada, and Spain. The company is in active expansion mode: recent hiring includes roles for M&A integration, data center strategy, CPU capacity planning, and storage cluster buildout, alongside foundational work on security training and custom Kubernetes operators.
CoreWeave runs on Intel, AMD, and ARM processors with Kubernetes and KubeVirt orchestration, Docker containerization, and NVLink connectivity. The stack includes custom BMC firmware and Kubernetes operators for workload optimization.
CoreWeave is headquartered in New York, NY and actively hiring across eight countries: United States, United Kingdom, Poland, Denmark, Ireland, Sweden, Canada, and Spain.
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