CoreWeave
An early member of CoreWeave’s Applied Training team focused on building Kubernetes-native research cluster platforms and sandbox infrastructure to enable large-scale AI training and evaluation. The role centers on delivering production-grade research infrastructure and developer-facing tooling so customers can run ML workloads without spending time on ops. The position works directly with customers and internal teams to translate research workflows into scalable cloud-native systems.
Headquarters
New York, New York, United States
Company Size
501-1000 employees
Founded
2017
CoreWeave is a cloud provider purpose-built for GPU-accelerated AI and high-performance compute workloads, positioning itself as "The Essential Cloud for AI." It offers on-demand and dedicated GPU infrastructure (bare metal, virtual machines, and Kubernetes), high-performance networking and storage, and managed services to support large-scale training, inference, and graphics rendering. CoreWeave emphasizes performance, cost-efficiency, and operational support so enterprises and research teams can deploy and scale AI workloads with predictable performance and security.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for CoreWeave.
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