CoreWeave is seeking a Staff Storage Engineer to design, build, and operate the file and block storage for their high-performance AI storage platform. The role involves creating reliable, scalable, high-throughput systems to support large AI workloads, in close collaboration with infrastructure, compute, and platform teams. The engineer will contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and integrate dedicated storage clusters into diverse customer environments. This position requires working with advanced technologies like RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency. A key aspect of the role is improving the reliability, durability, and observability of the storage stack, and collaborating with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards. The engineer will also work cross-functionally with platform, product, and infrastructure teams to ensure seamless storage capabilities and mentor other engineers on best practices for building distributed, high-performance systems.
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Job Type
Full-time
Career Level
Senior