Staff Engineer, Storage Control Plane
About the role
We're looking for a Staff Storage Engineer to design, build, and operate the control plane for our high-performance AI storage platform. This role involves collaborating with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.
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.
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.
Qualifications
- 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.
Skills
- Systems Programming Languages (Go, C++, Rust)
- Storage Protocols (S3, NFS)
- Distributed File Systems (Ceph, DAOS)
- Storage Observability Tools (ClickHouse, Prometheus, Grafana)
- Cloud-Native Infrastructure (Kubernetes)
- Debugging and Problem-Solving Skills
- Collaboration and Communication
Benefits
The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Pay
The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Schedule
Not specified.