Drimva

CoreWeave

Staff Software Engineer, File & Block Storage

$207K–$303K

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA +6 · Remote · Staff · Full-time · Posted Apr 3, 2026

Location
Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Livingston, New Jersey, United States
Manhattan, New York, United States
San Francisco, California, United States
Sunnyvale, California, United States
US - Remote
Experience
10+ years in storage systems engineering or infrastructure.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Visa sponsorship
Must be a U.S. person, eligible to access export-controlled information without export authorization, or eligible and reasonably likely to obtain the required export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.

About the job

Designs, builds, and operates scalable, high-performance file and block storage systems for AI workloads.

What you'll do

  • Design and implement a scalable, multi-tenant storage control plane and contribute to object storage and distributed file systems.
  • Optimize storage performance, reliability, durability, and observability; monitor systems using telemetry, metrics, and dashboards.
  • Collaborate across teams and mentor engineers on distributed, high-performance systems.

What they ask for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in storage systems engineering or infrastructure.
  • Production experience with object storage or distributed filesystems, plus experience with storage protocols such as S3 or NFS and file systems such as Ceph or DAOS.
  • Proficiency in Go, C++, or Rust; knowledge of cloud-native infrastructure, Kubernetes, and scalable system architecture.

Nice to have

  • Familiarity with storage observability tools and telemetry pipelines such as ClickHouse, Prometheus, or Grafana.

Pay

$207,000 to $303,000 USD base salary

Tools

RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, S3, NFS, Ceph

AI focus

Builds and optimizes file and block storage infrastructure that powers large AI workloads.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)