Drimva

CoreWeave

Staff Engineer, Storage

$188K–$275K

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA +4 · Staff · Full-time · Posted Nov 10, 2025

Location
Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Bellevue, WA
Livingston, New Jersey, United States
Manhattan, New York, United States
Sunnyvale, California, United States
Experience
8–10+ years
Education
Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
Visa sponsorship
The position requires access to export-controlled information. Applicants must meet one of the stated U.S. person, export-authorization eligibility, or authorization-likelihood conditions; CoreWeave may decline to pursue export licensing.

About the job

Designs and improves distributed storage systems for large-scale AI workloads, including object storage, performance, reliability, and production observability.

What you'll do

  • Design and implement distributed storage, including exabyte-scale S3-compatible object storage and integrations with customer environments.
  • Improve storage performance, reliability, durability, security, and observability; analyze telemetry and troubleshoot production systems.
  • Collaborate across teams and mentor engineers on high-performance distributed systems.

What they ask for

  • Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
  • 8–10+ years of experience in storage systems engineering or infrastructure.
  • Hands-on production experience with object storage or distributed filesystems, and experience with storage protocols and filesystems.
  • Proficiency in Go, C, or Rust; proficiency leveraging AI tools to augment software development.

Nice to have

  • Familiarity with storage observability tools and telemetry pipelines.
  • Experience with cloud-native infrastructure, Kubernetes, and scalable system architectures.

Pay

USD $188,000 to $275,000 base salary

Tools

S3, NFS, Ceph, DAOS, Go, C, Rust, Kubernetes

AI focus

Build storage solutions for data-intensive AI workloads and use AI tools to augment software development.

Model-written summary · the original posting is authoritative

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