Jack & Jill
US - California - San Francisco
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You will own the GPU inference infrastructure powering real-time AI conversations with sub-second latency. This includes managing multi-provider GPU deployments and EKS clusters to optimize performance.
Requirements: The ideal candidate should have hands-on experience deploying and optimizing large-scale GPU inference workloads on cloud providers. They must also demonstrate deep expertise in Kubernetes and EKS, along with a proven track record of senior technical leadership.
Key Skills: GPU Inference, CUDA, Kubernetes, EKS, Cloud Providers, Performance Optimization, Infrastructure Management, Service Routing, Cluster Management, AI Conversations, Real-Time Processing, Multi-Region Deployments, Technical Leadership, Workload Placement, Cold-Start Optimization, AI Video
Benefits: Equity
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