NVIDIA
US - Washington - Seattle
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Lead the design and development of software to manage a fleet of Kubernetes clusters for GPU and DPU accelerated applications. Collaborate across engineering teams to automate and optimize the lifecycle management of AI Factory infrastructure.
Requirements: Requires a BS/MS in Computer Science and over 15 years of experience in large-scale environments. Candidates must possess expert-level skills in Go or C, deep knowledge of Linux kernel internals, and extensive experience with Kubernetes and distributed systems.
Key Skills: Go, C, Kubernetes, Linux Kernel, Container Technology, Distributed Systems, CI/CD, Cloud Computing, Data Structures, Algorithms, GPU Systems, Argo, Flux, Gitlab, Confidential Computing, Automation
Benefits: Equity, Generous benefits package
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