Staff Engineer, AI Object Storage & Distributed Systems

CoreWeave

Warszawa

On-site

PLN 369,000 - 493,000

Full time

14 days+
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Benefits offered by this job

Family-level Medical Insurance
Family-level Dental

Job summary

CoreWeave is seeking a Staff Engineer, AI Object Storage to design and implement distributed storage for scaling AI workloads. You will contribute to exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse environments.

You will lead cross-functional efforts, optimize throughput and latency, and mentor engineers while advancing reliability, durability, and telemetry through modern storage technologies.

Qualifications

  • 8–10+ years in storage systems engineering or infrastructure platforms.
  • Hands-on with object storage or distributed filesystems in large-scale production.
  • Deep experience with S3, NFS and distributed file systems (Ceph/DAOS or similar).
  • Proficiency in Go, C, or Rust and cloud-native infrastructure.

Responsibilities

  • Design and implement distributed storage to support AI workloads.
  • Develop exabyte-scale, S3-compatible object storage and integrate storage clusters.
  • Collaborate across teams to improve reliability, durability, security, and telemetry.
  • Mentor engineers and establish operational best practices for high-performance systems.

Skills

Storage systems engineering
Object storage
Distributed filesystems
Go
C
Rust
Kubernetes
Prometheus
Grafana
S3/NFS
Ceph
DAOS
RDMA
GPU Direct Storage
NFS
FUSE

Education

Bachelor’s/Master’s/PhD in CS/Engineering

Tools

RDMA
GPU Direct Storage
NFS
FUSE
Ceph
DAOS

Job description

CoreWeave is seeking a Staff Engineer, AI Object Storage to design and implement distributed storage for scaling AI workloads. You will contribute to exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse environments.

You will lead cross-functional efforts, optimize throughput and latency, and mentor engineers while advancing reliability, durability, and telemetry through modern storage technologies.

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