# Staff Engineer, Storage Engine

**Company**: CoreWeave
**Location**: Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $188,000 to $275,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4612047006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5b6f9322-a9a

## Description

CoreWeave is seeking a Staff Engineer, Storage Engine to join their team. The successful candidate will design and implement distributed storage solutions to support scaling data-intensive AI workloads. They will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.

Key responsibilities include:

- Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads

- Contributing to the development of exabyte-scale, S3-compatible object storage

- Integrating dedicated storage clusters into diverse customer environments

- Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency

- Leading efforts to improve the reliability, durability, security, and observability of the storage stack

- Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments

- Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health

- Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience

- Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack

- Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems

Requirements include:

- Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field

- 8-10+ 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 one or more storage protocols (e.g. S3, NFS) and file systems 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 (e.g., ClickHouse, Prometheus, Grafana)

- Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures

The base salary range for this role is $188,000 to $275,000.

## Skills

### Required
- distributed storage
- object storage
- S3-compatible object storage
- RDMA
- GPU Direct Storage
- distributed filesystems protocols
- NFS
- FUSE
- storage performance and efficiency
- reliability
- durability
- security
- observability
- telemetry
- system data
- throughput
- latency
- resilience
- cloud-native infrastructure
- Kubernetes
- scalable system architectures

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4612047006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)