About the company
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
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.
- Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE.
- 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.
- Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.
- Work cross-functionally with platform, product, and infrastructure teams.
- Share your knowledge and mentor other engineers.
Requirements
- 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.
- Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
- Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures.
Conditions
- The base salary range for this role is $143,000 to $210,000.
- Discretionary bonus, equity awards, and a comprehensive benefits program.
- Medical, dental, and vision insurance - 100% paid for by CoreWeave.
- Company-paid Life Insurance.
- Flexible Spending Account.
- Health Savings Account.
- Tuition Reimbursement.
- Employee Stock Purchase Program (ESPP).