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# Staff Software Engineer, File & Block Storage

- **Company:** Coreweave Inc
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, C++ (Programming Language), Cloud Computing, Software Debugging, Distributed File Systems, File Systems, InfiniBand, Network Control, Remote Direct Memory Access, Prometheus, System Programming, Ceph (Software), Cloud Platform System, Grafana, Kubernetes, Storage Technologies, Information Technology, Low Latency, Vertica, Block Storage
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_012D6DA0773FFF69E6DE96069757EB44

## About the Role

product, and infrastructure teams to deliver seamless storage capabilities across the stack.Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.Who You Are:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.10+ years of experience working in storage systems engineering or infrastructure.Strong hands-on experience with object storage or distributed filesystems in production environments.Experience with one or more storage protocols (e.g.
S3, NFS) and file systems such as Ceph, DAOS, or similar.Proficiency in a systems programming language such as Go, C++, or Rust.Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.Strong debugging and problem-solving skills in distributed, high-performance environments.Clear communicator, able to work collaboratively across teams and share technical insights effectively.Wondering if you're a good fit?

## Description

You'll build reliable, scalable, high-throughput systems that power some of the largest and most innovative AI workloads in the world, working closely with infrastructure, compute and platform teams.About the Role:Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.Participate in efforts to improve the reliability, durability, and observability of our storage stack.Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.Work cross-functionally with platform