NVIDIA
US - California - Santa Clara
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Lead the design and development of software for managing a fleet of GPU and DPU accelerated Kubernetes clusters. Collaborate across engineering teams to automate and optimize the build, test, and release processes for cloud-native AI infrastructure.
Requirements: Requires a BS/MS in Computer Science and over 15 years of experience in large-scale environments with expert-level systems programming in Go and C. Candidates must have deep knowledge of Kubernetes, Linux kernel internals, and distributed software design.
Key Skills: Go, C, Kubernetes, Container Technology, Linux Kernel Internals, Distributed Systems, CI/CD, Cloud Computing, Data Structures, Algorithms, GPU Systems, DPU Systems, Gitlab, Argo, Flux, Confidential Computing
Benefits: Equity, Generous benefits package
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