Staff Engineer, AI Object Storage: Scale Exabyte AI Workloads

Coreweave

Kraków

On-site

PLN 260,000 - 380,000

Full time

12 days ago
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Benefits offered by this job

Family-level Medical Insurance
Family-level Dental Insurance
Generous Pension Contribution
Life Assurance at 4x Salary
Tuition Reimbursement
Employee Assistance Programme
Work culture focused on innovative Dis
Innovation-focused environment

Job summary

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

You will collaborate across hardware-adjacent stacks, leveraging RDMA, GDS, and NFS/S3 protocols to optimise throughput and tail latency, while mentoring engineers and elevating reliability and security across platforms.

Qualifications

  • Bachelor's/Master's/PhD in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 8+ years of professional engineering experience in storage systems or infrastructure.
  • Strong hands-on experience with object storage or distributed filesystems in high-scale environments.
  • Proficiency with storage protocols (S3, NFS) and distributed architectures (Ceph/DAOS).
  • Experience with Go, C, or Rust, and cloud-native infra (Kubernetes).
  • Familiarity with telemetry pipelines (Prometheus, Grafana, ClickHouse).
  • Ability to mentor and lead cross-functional teams.

Responsibilities

  • Design and implement distributed storage solutions to support scaling AI workloads.
  • Contribute to exabyte-scale, S3-compatible object storage and integrate clusters into diverse environments.
  • Lead reliability, durability, security, and telemetry initiatives across the team.

Skills

Object storage
Distributed filesystems
Kubernetes
Go
C/C++
Rust
RDMA
Telemetry

Education

Bachelor's/Master's/PhD in CS or related

Tools

Ceph
DAOS
NFS
S3 Protocols

Job description

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

You will collaborate across hardware-adjacent stacks, leveraging RDMA, GDS, and NFS/S3 protocols to optimise throughput and tail latency, while mentoring engineers and elevating reliability and security across platforms.

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