Engineering Manager, Storage

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 .

About the Role

As an Engineering Manager, Storage, you will lead high-performing systems engineering teams driving high-throughput distributed storage architectures and tackling the challenge of scaling storage performance by 10x for massive AI workloads. You will oversee file and block and object storage development to maximize GPU utilization across AI cloud infrastructure. In this role, you will balance technical guidance with strategic execution, performance management and cross-functional leadership in a fast-paced environment.

What You’ll Do

• Scale foundational file and block and object storage systems powering high-performance computing AI infrastructure.

• Drive end-to-end design and operational excellence across file and block and object storage services built in Go and Rust to maximize GPU utilization.

• Solve complex engineering challenges to achieve 10x performance scaling in file and block and object storage systems.

• Lead systems engineering teams in a coding-focused, meeting-light culture with high autonomy and impact.

• Provide technical mentorship, oversee performance management and foster innovation.

• Align engineering execution with strategic business goals through effective cross-team leadership.

Who You Are

• Deep technical expertise in storage performance tuning, latency optimization and benchmarking for file and block and object storage architectures.

• 3+ years managing engineering teams plus 7+ years in hands-on systems or infrastructure engineering.

• Technical expertise in cloud storage technologies and distributed systems such as Ceph, Lustre, MinIO and GPUDirect Storage.

• Proven track record scaling storage engineering teams within hyper-scale cloud environments.

• Demonstrated success operating ultra-low-latency systems across high-performance computing or AI infrastructure.

• Proficiency in systems programming with Go and Rust.

• Demonstrated capability in technical recruitment and team growth.

Wondering if you’re a good fit? 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.