CoreWeave

HQ
Livingston
Total Offices: 5
1,450 Total Employees
Year Founded: 2017
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CoreWeave Offices

CoreWeave is headquartered in Livingston and has 5 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ Livingston Bellevue New York Philadelphia Sunnyvale
HQ

Livingston

Livingston, NJ, United States

Bellevue

Bellevue, WA

Bellevue, Washington, United States, 98004

New York

New York, NY, United States

Philadelphia

Philadelphia, PA, United States

Sunnyvale

Sunnyvale, CA

Sunnyvale, California, United States

Recently posted jobs

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CoreWeave

Senior Engineer, Storage

4 Hours AgoSaved
In-Office
New York, NY, USA
Cloud • Information Technology • Machine Learning
Design and implement distributed, exabyte-scale storage systems for AI workloads, including S3-compatible object storage and dedicated storage clusters. Improve storage reliability, durability, security, observability, throughput, latency, and resilience using technologies such as RDMA, GPU Direct Storage, and distributed filesystems. Monitor and troubleshoot production systems, develop performance dashboards, analyze telemetry, collaborate across infrastructure teams, and mentor engineers.
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CoreWeave

Senior Software Engineer II

4 Hours AgoSaved
In-Office
4 Locations
Cloud • Information Technology • Machine Learning
Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.
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CoreWeave

AI Engineer

12 Hours AgoSaved
In-Office
3 Locations
Cloud • Information Technology • Machine Learning
Own the roadmap and execution for W&B Models, an experiment-tracking platform for AI researchers. Improve experiment organization, training visualization, monitoring, evaluations, and large-scale analysis across web and mobile. Conduct user research, translate ML workflows into product decisions, collaborate with engineering and design, and use data and feedback to launch polished, high-performing experiences. The role requires deep familiarity with ML research, technical product management, data visualization, AI tools, and developer or researcher audiences.
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