Senior Systems Software Engineer - Containers and Kubernetes

October 31

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Logo of NVIDIA

NVIDIA

GPU-accelerated computing β€’ artificial intelligence β€’ deep learning β€’ virtual reality β€’ gaming

10,000+

Description

β€’ Work on platform software based on open-source container runtimes and Kubernetes technologies β€’ Explore innovative ways to make GPU and DPU accelerated applications easier to develop, deploy, and monitor β€’ Enable GPUs and DPUs as first-class resources in Kubernetes β€’ Work with engineering teams across NVIDIA to ensure seamless software integration β€’ Automate and optimize build, test, integration, and release processes for cloud native β€’ Efficiently multitask on different tracks to address evolving priorities

Requirements

β€’ BS/MS in Computer Science or related field (or equivalent experience) β€’ 8+ years of meaningful work experience β€’ Expert level knowledge in a systems programming language (Go, C) β€’ Strong understanding of Container Orchestration Systems (K8s) β€’ Expert knowledge of System internals of Unix/Unix-like kernels such as Linux β€’ Automation experience with frameworks like Ansible & Terraform β€’ Strong experience in setting up and automating continuous integration systems β€’ Strong background in Cloud Computing and Distributed Software design and development β€’ Understanding of performance, security, and reliability in complex distributed systems

Benefits

β€’ Highly competitive salaries β€’ Comprehensive benefits package β€’ Equity eligibility

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