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CoreWeave in Bellevue, WA is engineering a Kubernetes-native research cluster platform to accelerate AI model training for customers. You will design scalable sandbox infrastructure and ship production-grade ML systems.
Collaborate with AI labs, translate researcher needs into robust system designs and clear technical docs, and own end-to-end installation, testing, and operation of the platform.
Design and build a Kubernetes-native research cluster platform and sandbox infrastructure to streamline AI model training for customers. Collaborate with AI labs to translate researcher needs into scalable system designs and technical documentation.
Requirements: Requires 8-12+ years of experience building distributed systems or ML infrastructure with deep expertise in Kubernetes operators and orchestration. Candidates should have a strong understanding of distributed training workflows and the ability to ship production-grade infrastructure.
Key Skills: Kubernetes, Distributed Systems, ML Infrastructure, Python, Custom Controllers, Kubernetes Operators, CRDs, Workload Orchestration, RL Training, Container Runtimes, Slurm, Ray, PyTorch, System Design, Developer Platforms, API Design
Benefits: