Senior Storage Engineer for AI-Scale, High-Perf Storage

CoreWeave; Livingston (NJ); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Paid Parental Leave

Flexible PTO

Catered lunch

Job summary

CoreWeave is seeking a senior storage systems engineer to design and implement distributed storage solutions for AI workloads. You will work across infrastructure, compute, and platform teams to deliver high‑performance storage at exabyte scale.

The role requires 8–10+ years in storage engineering, strong experience with object storage and distributed filesystems, and proficiency in Go, C, or Rust. US-based role in New Jersey with a generous compensation package including base salary and equity.

Qualifications

• 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 (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.

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 RDMA, GPU Direct Storage, and distributed filesystem protocols (NFS, FUSE) to optimize storage performance.
• Lead efforts to improve reliability, durability, security, and observability of the 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 storage capabilities across the stack.
• Share knowledge and mentor other engineers on best practices in building distributed, high‑performance systems.

Skills

Go

C

Rust

Distributed storage

Kubernetes

Prometheus

Grafana

RDMA

GPU Direct Storage

S3

NFS

Ceph

DAOS

Telemetry pipelines

Education

CS degree

Tools

Kubernetes

Prometheus

Grafana

ClickHouse

NFS

S3

Job description

CoreWeave is seeking a senior storage systems engineer to design and implement distributed storage solutions for AI workloads. You will work across infrastructure, compute, and platform teams to deliver high‑performance storage at exabyte scale.

The role requires 8–10+ years in storage engineering, strong experience with object storage and distributed filesystems, and proficiency in Go, C, or Rust. US-based role in New Jersey with a generous compensation package including base salary and equity.