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CoreWeave is seeking an experienced software engineer to design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling. The role focuses on owning platform components end-to-end to improve scheduling latency, cluster utilization, and system reliability.
The candidate should have 5–8 years in distributed systems or cloud infrastructure, with strong proficiency in Go and Kubernetes, and a Bachelor's degree in Computer Science or related field.
Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling. Own platform components end-to-end while improving scheduling latency, cluster utilization, and system reliability.
Requires 5-8 years of professional software engineering experience in distributed systems or cloud infrastructure with strong proficiency in Go and Kubernetes. A Bachelor's degree in Computer Science or a related technical field is required.
Go, Kubernetes, Distributed Systems, Cloud Infrastructure, Platform Engineering, AI Workload Orchestration, Scheduling, Resource Management, Python, C++, Kueue, Volcano, Ray, Kubeflow, Argo Workflows, GPU Workloads