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CoreWeave

Rents GPU cloud computing for AI developers

Engineering Manager - Object Storage Data Plane

Engineering LeadershipUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 3 years of experience managing engineering teams and 7 or more years of hands-on systems or infrastructure engineering experience.
  • Expertise in storage performance tuning, latency optimization and benchmarking for file, block and object storage architectures.
  • Technical expertise in cloud storage technologies and distributed systems, including Ceph, Lustre, MinIO and GPUDirect Storage.
  • A track record of scaling storage engineering teams within hyperscale cloud environments.
  • Experience operating ultra-low-latency systems across high-performance computing or AI infrastructure.
  • Proficiency in systems programming with Go and Rust.
  • Capability in technical recruitment and team growth.

Responsibilities

  • Scale foundational file, block and object storage systems powering high-performance computing AI infrastructure.
  • Drive end-to-end design and operational excellence across file, block and object storage services built in Go and Rust to maximize GPU utilization.
  • Solve engineering challenges to achieve 10x performance scaling in file, 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 cross-team leadership.

Desired Qualifications

  • Drive complex low-latency systems challenges and scale engineering teams.
  • Push the boundaries of GPU optimization, next-generation distributed systems and large-scale AI infrastructure.
  • Expertise in cloud storage, file, block and object storage systems, and low-level systems programming.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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