{"schemaVersion":"jobsearcher.job.v1","id":"cf986e7702daa2e411315bd0","url":"https://jobsearcher.com/jobs/cf986e7702daa2e411315bd0","canonicalUrl":"https://jobsearcher.com/jobs/cf986e7702daa2e411315bd0","title":"Principal Software Engineer - DGX Cloud","description":"Overview\nAs Principal Software Engineer, you lead the design and operation of the Kubernetes-based AI infrastructure for DGX Cloud. You will develop software to manage a fleet of GPU/DPU clusters, and collaborate across NVIDIA to integrate cloud-native solutions. You’ll automate CI/CD and release processes, and tackle complex reliability, security, and performance challenges at AI Factory scale. This role offers impact by enabling scalable, secure AI infrastructure through end-to-end ownership.\n\nCompensation / Benefitsequitybenefits packageremote work optionscompetitive base salary range 272,000 USD - 431,250 USDcareer growth opportunitiesdynamic team environment\nResponsibilitiesDesign and develop software to manage a fleet of Kubernetes clusters for GPUs and DPUsContribute to Cloud Native technology work within NVIDIACollaborate with cross-functional engineering teams for seamless integrationAutomate build, test, integration, and release processes for cloud-native appsMultitask across multiple projects and evolving prioritiesOwn and improve deployment safety, resiliency, and security of AI infrastructure\nKey requirements15+ years of experience in large-scale environmentsBachelor in Computer Science (or MS) or equivalent experienceExpert-level knowledge in Go and CStrong Kubernetes and container technology understandingDeep knowledge of Unix/Linux kernel internalsHands-on automation with modern infrastructure toolsExperience setting up and automating CI/CD systemsBackground in cloud computing and distributed software design and developmentUnderstanding of performance, security, and reliability in distributed systemsCross-functional collaborationStrong problem-solving and analytical skillsExcellent communication and teamworkKubernetesGoC","company":"NVIDIA","rawCompany":"nvidia","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:43:45.934Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Software Engineer - DGX Cloud","description":"Overview\nAs Principal Software Engineer, you lead the design and operation of the Kubernetes-based AI infrastructure for DGX Cloud. You will develop software to manage a fleet of GPU/DPU clusters, and collaborate across NVIDIA to integrate cloud-native solutions. You’ll automate CI/CD and release processes, and tackle complex reliability, security, and performance challenges at AI Factory scale. This role offers impact by enabling scalable, secure AI infrastructure through end-to-end ownership.\n\nCompensation / Benefitsequitybenefits packageremote work optionscompetitive base salary range 272,000 USD - 431,250 USDcareer growth opportunitiesdynamic team environment\nResponsibilitiesDesign and develop software to manage a fleet of Kubernetes clusters for GPUs and DPUsContribute to Cloud Native technology work within NVIDIACollaborate with cross-functional engineering teams for seamless integrationAutomate build, test, integration, and release processes for cloud-native appsMultitask across multiple projects and evolving prioritiesOwn and improve deployment safety, resiliency, and security of AI infrastructure\nKey requirements15+ years of experience in large-scale environmentsBachelor in Computer Science (or MS) or equivalent experienceExpert-level knowledge in Go and CStrong Kubernetes and container technology understandingDeep knowledge of Unix/Linux kernel internalsHands-on automation with modern infrastructure toolsExperience setting up and automating CI/CD systemsBackground in cloud computing and distributed software design and developmentUnderstanding of performance, security, and reliability in distributed systemsCross-functional collaborationStrong problem-solving and analytical skillsExcellent communication and teamworkKubernetesGoC","datePosted":"2026-09-15T03:43:45.934Z","dateModified":"2026-09-15T03:43:45.934Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cf986e7702daa2e411315bd0"},"url":"https://jobsearcher.com/jobs/cf986e7702daa2e411315bd0"}}