Staff Engineer, Storage Control Plane

CoreWeave•Dallas, NY

2d•$165,000 - $242,000•Hybrid

About The Position

We’re looking for a Staff Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You’ll help evolve CoreWeave’s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world. This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability. 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, 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.

Requirements

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.

Responsibilities

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, 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.