NVIDIA
US - Texas - Austin
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Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking, while building reusable self-service platform capabilities and shared services. Onboard teams and sites, collaborate with EDA and infrastructure groups on critical chip-design workloads, and participate in on-call incident response, root-cause analysis, and capacity planning.
Requirements: Requires at least five years of software or infrastructure engineering experience supporting large-scale production systems, plus a bachelor's degree in a relevant field or equivalent experience. Candidates should have strong Go or Python skills, hands-on experience operating Kubernetes or a comparable platform, experience automating distributed infrastructure, and a record of enabling repeatable team onboarding and reliable operations.
Key Skills: Go, Python, Kubernetes, Distributed Systems, Infrastructure Engineering, Bare-Metal Provisioning, Cluster Scheduling, Infrastructure Automation, Controllers And Operators, CI/CD, Cloud-Native Platforms, Networking, Storage, Observability, Incident Response, Open-Source Software
Benefits: Equity, Benefits
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