Staff Engineer, Storage Engine

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +3 · Technology

Staff Engineer for the Storage Engine Team at CoreWeave, focusing on designing and implementing scalable, high-performance distributed storage solutions for AI workloads. Responsibilities include optimizing storage performance, ensuring reliability and security, and developing observability tools for exabyte-scale storage systems.

What you'd actually do

  1. Design and Implement distributed storage solutions to support scaling data intensive AI workloads.
  2. Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
  3. Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
  4. Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
  5. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.

Skills

Required

  • storage systems engineering
  • infrastructure
  • object storage
  • distributed filesystems
  • S3
  • NFS
  • Ceph
  • DAOS
  • Go
  • C
  • Rust
  • ClickHouse
  • Prometheus
  • Grafana
  • cloud-native infrastructure
  • Kubernetes

Nice to have

  • RDMA
  • GPU Direct Storage
  • FUSE
  • AI tools to augment software development

What the JD emphasized

  • 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
  • Proficiency in a systems programming language such as Go, C, or Rust