Senior AI Storage Systems Engineer

Coreweave; Oregon; On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Company-paid Life Insurance

Disability insurance

Tuition Reimbursement

Employee Stock Purchase Program

Mental Wellness Benefits

Parental Leave

Flexible, full‑service childcare

401(k) with employer match

Flexible PTO

Catered lunch

Casual work environment

Job summary

CoreWeave in the United States is seeking an experienced Storage Systems Engineer to design and implement distributed storage solutions that scale data‑intensive AI workloads and to build exabyte‑scale, S3‑compatible storage. You will collaborate with platform, product, and infrastructure teams to deliver reliable, high‑performance storage across environments.

The role emphasizes reliability, observability, and performance, with opportunities to mentor others and contribute to a world‑class AI

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• 8–10+ years of experience in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with storage protocols (S3, 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.
• Familiarity with storage observability tools and telemetry pipelines (ClickHouse, Prometheus, Grafana).
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures.

Responsibilities

• Design and implement distributed storage solutions to support scaling data‑intensive AI workloads.
• Contribute to the development of exabyte-scale, S3‑compatible object storage and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
• Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments.
• Set the bar for developing metrics and dashboards to provide visibility into storage performance and health.
• Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Skills

Storage systems

Distributed storage

Kubernetes

Go

C

Rust

Telemetry tools

Prometheus

Grafana

ClickHouse

RDMA

GPU Direct Storage

NFS

S3

Education

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field

Tools

Ceph

DAOS

NFS

Job description

CoreWeave in the United States is seeking an experienced Storage Systems Engineer to design and implement distributed storage solutions that scale data‑intensive AI workloads and to build exabyte‑scale, S3‑compatible storage. You will collaborate with platform, product, and infrastructure teams to deliver reliable, high‑performance storage across environments.

The role emphasizes reliability, observability, and performance, with opportunities to mentor others and contribute to a world‑class AI