CoreWeave

CoreWeave provides specialized GPU cloud infrastructure purpose-built for large-scale AI, machine learning, and high-performance computing workloads, offering bare-metal performance with the flexibility of cloud. The company differentiates from hyperscalers by focusing exclusively on GPU-accelerated compute, providing access to NVIDIA H100, A100, and other accelerator hardware at scale with Kubernetes-native orchestration. Engineering at CoreWeave spans building distributed GPU scheduling systems, designing low-latency networking fabrics for multi-node training, developing Kubernetes operators that manage GPU lifecycle and allocation, and creating storage systems optimized for the massive throughput demands of AI training datasets. Their infrastructure powers some of the largest AI model training runs outside the hyperscalers, requiring expertise in datacenter networking, RDMA, InfiniBand, and GPU cluster management. As demand for AI compute continues to surge, CoreWeave's talent needs track the evolution of GPU cloud infrastructure and the tooling required to make large-scale AI training accessible beyond the hyperscalers.