Staff Engineer, Storage Engine · CoreWeave

Sat, 18 Apr 2026 15:50:33 GMT
Engineering

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA · $188,000 to $275,000 · hybrid

CoreWeave is seeking a Staff Engineer, Storage Engine to join their team. The successful candidate will design and implement distributed storage solutions to support scaling data-intensive AI workloads. They will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.

Key responsibilities include:

Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads

Contributing to the development of exabyte-scale, S3-compatible object storage

Integrating dedicated storage clusters into diverse customer environments

Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency

Leading efforts to improve the reliability, durability, security, and observability of the storage stack

Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments

Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health

Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience

Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack

Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems

Requirements include:

Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field

8-10+ 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

Proficiency leveraging AI tools to augment software development

Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)

Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures

The base salary range for this role is $188,000 to $275,000.