Drimva

CoreWeave

Senior Software Engineer, Storage

$143K–$210K

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA +5 · Senior · Full-time · Posted Mar 16, 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
Experience
8–10+ years of experience working in storage systems engineering or infrastructure.
Education
Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
Visa sponsorship
Requires eligibility to access export-controlled information as a U.S. person, without export authorization, or through eligibility and reasonable likelihood of obtaining required U.S. government export authorization; CoreWeave may decline to pursue export licensing.

About the job

Designs and improves high-performance, exabyte-scale distributed object storage for AI workloads and customer environments.

What you'll do

  • Develop scalable, S3-compatible object storage and integrate dedicated storage clusters into customer environments.
  • Improve storage performance, reliability, durability, security, and observability; analyze telemetry and production systems.
  • Collaborate across engineering and operations teams, and mentor engineers on distributed systems best practices.

What they ask for

  • Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field.
  • Strong hands-on experience with object storage or distributed filesystems in production environments.
  • Experience with storage protocols such as S3 or NFS and filesystems 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.

Nice to have

  • Familiarity with storage observability tools and telemetry pipelines such as ClickHouse, Prometheus, or Grafana.
  • Experience with cloud-native infrastructure, Kubernetes, and scalable system architectures.

Pay

$143,000 to $210,000 USD (base salary)

Tools

RDMA, GPU Direct Storage, NFS, FUSE, S3, Ceph, DAOS, Go

AI focus

Build and optimize storage for data-intensive AI workloads; 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)