CoreWeave
AI
StaffEngineer,StorageEngine
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Engineer, Storage Engine at CoreWeave. Skills: Distributed storage, AI workloads, Data persistence. Design distributed storage solutions. Implement distributed storage solutions”
Industry & Context.
Troubleshoot storage systems; Analyze telemetry data; Analyze system data
Criminal record check
What They're Looking For.
Must Have
8-10+ years storage systems engineering, 8-10+ years infrastructure experience, Hands-on object storage experience, Hands-on distributed filesystems experience, Experience with S3, Experience with NFS, Experience with Ceph, Experience with DAOS, Proficiency in Go, Proficiency in C, Proficiency in Rust, Proficiency leveraging AI tools, Familiarity with ClickHouse, Familiarity with Prometheus, Familiarity with Grafana, Experience with cloud-native infrastructure, Experience with Kubernetes, Experience with scalable system architectures
Nice to Have
Master's degree, PhD degree, Experience with RDMA, Experience with GPU Direct Storage, Experience with FUSE
What You'll Do.
Design distributed storage solutions
Implement distributed storage solutions
Contribute to object storage development
Integrate storage clusters
Optimize storage performance
Optimize storage efficiency
Lead reliability improvements
Lead durability improvements
Lead security improvements
Lead observability improvements
Monitor storage systems
Troubleshoot storage systems
Improve storage systems
Analyze telemetry data
Drive throughput improvements
Drive latency improvements
Drive resilience improvements
Deliver seamless storage capabilities
How You'll Work.
Team & Collaboration
Engineering teams; Infrastructure teams; Compute teams; Platform teams; Operations teams; Product teams; Infrastructure teams
Full Job Description
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. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. We're proud to be a Living Wage accredited Employer. What You’ll Do: The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads. 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 y
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