Engineering Manager, Storage

CoreWeave•Sunnyvale, NY

2d•Onsite

About The Position

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.

Requirements

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.
You are driven to solve complex low-latency systems challenges and scale top-tier engineering teams.
You are eager to push the boundaries of GPU optimization, next-generation distributed systems and massive-scale AI infrastructure.
You are an expert in cloud storage, file and block and object storage systems and low-level systems programming.
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.

Responsibilities

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.