Sr. Engineer, Storage
About The Role
- 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.
Who You Are
- 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.
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
- You love to grow and push the boundaries of your expertise
- You're curious about distributed storage and the demands AI/ML workloads
- You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems.
Pay
The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Benefits
In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption