Storage Engineer
US$182,000 – US$242,000 / yr base salary
Posted 21 Sep 2026
Advertised as “Senior Engineer, Storage (File & Block)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6–10 yrs
- Management level
- People management
| Base salary | US$182,000 – US$242,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's or higher
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.
What You'll Do:
We're looking for a Senior Storage Engineer, File & Block to help build and operate the file and block storage services at the heart of CoreWeave's Storage team — the high-performance, multi-tenant storage that our largest AI training and inference workloads and internal stateful services run on. You'll help turn CoreWeave's storage from a follower of GPU growth into a multiplier of it: owning the data path and control plane for both file and block, running them on our own hardware fleet, and shipping the customer-facing capabilities that unblock petabyte-scale deals. You'll work closely with compute, platform, and infrastructure teams to make storage fast, reliable, and effortless to consume at scale.
About the role:
Design, build, and operate highly scalable, multi-tenant file and block storage — from the data path (NFS for file; durable, high-performance block volumes) to the control plane that governs tenancy, provisioning, and data protection — running natively on CoreWeave's storage fleet and delivered through Kubernetes.
- Own the file system data path: NFS hot-path reliability, IO resilience, and performance — including the small-file / IOPS-heavy workloads that AI pipelines depend on, and the throughput that keeps GPUs fed.
- Build a native block storage service: durable, high-performance block volumes for customer workloads and internal stateful services — the third leg of the file/object/block triad, running on our own data path and shared storage hardware.
- Deliver both file and block as first-class Kubernetes citizens: design and ship a backend-neutral CSI driver with dynamic provisioning, resize, snapshots, and RWO block volumes, backed by a public provisioning SLO — reusing shared control-plane and CSI patterns across file and block rather than rebuilding per service.
- Build the control plane: multi-tenant isolation, quota, QoS, snapshots, key management (BYOK), audit, and lifecycle policy — the capabilities that unblock regulated and enterprise customers (e.g., encryption in transit, HIPAA controls).
- Improve the reliability, durability, and observability of the storage stack; partner with operations to monitor, analyze, and optimize using telemetry, metrics, and dashboards to improve performance, latency, and resilience.