About the role
Lead high-performing systems engineering teams driving high-throughput distributed storage architectures for massive AI workloads. Oversee file, block, and object storage development to maximize GPU utilization. Balance technical guidance with strategic execution and cross-functional leadership in a fast-paced environment.
Requirements
Deep expertise in storage performance tuning and distributed systems like Ceph, Lustre, MinIO, GPUDirect Storage. 3+ years managing engineering teams plus 7+ years hands-on systems engineering. Proficiency in Go and Rust. Proven track record scaling storage teams in hyper-scale cloud environments and operating ultra-low-latency systems for AI infrastructure.
About the company
CoreWeave
CoreWeave is a cloud provider specializing in an AI-native platform built to power complex AI workloads. They offer GPU and CPU compute, storage, and infrastructure control solutions, positioning themselves as the essential cloud for AI innovation and significantly reducing total cost of ownership.
View company page →More from CoreWeave
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