Develops and maintains the marimo open-source Python notebook backend and ecosystem.

Designs and optimizes thermal systems for high-density GPU data centers, from concept through production.

Builds agentic interfaces and APIs for AI observability, transforming telemetry into actionable insights for customers and internal teams.

Mentor support engineers and resolve complex Kubernetes/HPC cloud infrastructure issues for AI customers.

Leads technical customer engagements for AI/ML workloads on CoreWeave's cloud infrastructure, from POCs through optimization.

Leads Kubernetes infrastructure solutions for AI customers, from POCs through optimization and product feedback.

Designs and optimizes Kubernetes-based inference systems to meet strict latency and reliability SLAs at scale.

Designs and operates Kubernetes-native services for scheduling and orchestrating AI workloads at scale.

Designs and evolves Kubernetes-native orchestration architecture for AI workloads across large GPU clusters.

Design and build scalable, high-performance storage systems for AI cloud infrastructure.

Designs and operates foundational cloud infrastructure platforms that enable reliable, scalable datacenter delivery across CoreWeave's global operations.

Design and build distributed storage systems for AI workloads, optimizing performance and reliability at exabyte scale.