Senior Storage Architect for AI-Scale Systems

CoreWeave

Sunnyvale (CA)

On-site

USD 207,000 - 303,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life Insurance
Disability insurance
Health Savings Account
Tuition Reimbursement
ESPP
Mental Wellness Benefits
Parental Leave
Childcare support
401(k) match
Flexible PTO
Catered lunch

Job summary

CoreWeave is seeking a Staff Engineer, Storage to design, build, and operate high‑performance storage behind our AI platform. You will shape scalable, multi‑tenant storage and contribute to S3‑compatible object storage, distributed file systems, and integrations across infrastructure teams.

You will work with RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize latency and resilience.

Qualifications

  • 10+ years of experience working in storage systems engineering or infrastructure.
  • Strong hands-on experience with object storage or distributed filesystems in production environments.
  • Experience with storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.

Responsibilities

  • Design and implement a scalable multi-tenant control plane for storage and cloud infrastructure.
  • Develop exabyte-scale, S3-compatible object storage and distributed file system integration.
  • Collaborate across teams to optimize storage performance and reliability; monitor with telemetry and dashboards.

Skills

Storage systems
Go
C++
Rust
Kubernetes
Prometheus
Grafana
RDMA
Ceph
NFS

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

SPDK
DAOS
Ceph

Job description

CoreWeave is seeking a Staff Engineer, Storage to design, build, and operate high‑performance storage behind our AI platform. You will shape scalable, multi‑tenant storage and contribute to S3‑compatible object storage, distributed file systems, and integrations across infrastructure teams.

You will work with RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize latency and resilience.

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