Engineering Manager, Storage

Core Weave is The Essential Cloud for AI. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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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.

• 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.

• 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.

We care deeply about how we build our products and how we collaborate, anchored by our core values:

• Be curious at your core
• Act like an owner
• Empower employees
• Deliver best-in-class client experiences
• Achieve more together

We foster an environment of high autonomy and collaboration to solve complex technical challenges. You will work alongside industry leaders driving breakthrough engineering in AI cloud infrastructure.

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined by job-related knowledge, skills, experience and the market location. We strive for both market alignment and internal…