Staff Engineer (Storage Engine)

Join CoreWeave, a leading provider of cloud-based infrastructure for AI workloads. As a Staff Engineer on the Storage Engine Team, you will design and implement distributed storage solutions, contribute to the development of exabyte-scale object storage, and work with cutting-edge technologies to optimize storage performance. You will also collaborate with operations teams, analyze telemetry and system data, and mentor other engineers. The ideal candidate has 8-10+ years of experience in storage systems engineering or infrastructure, strong hands-on experience with object storage or distributed filesystems, and proficiency in a systems programming language.

• Design and implement distributed storage solutions to support scaling data-intensive AI workloads.
• Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack.

• 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 working with cloud-native infrastructure, Kubernetes, and scalable system architectures
• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field
• 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)
• Proficiency leveraging AI tools to augment software development
• Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match