{"schemaVersion":"jobsearcher.job.v1","id":"b7d119b290d672df882fcf96","url":"https://jobsearcher.com/jobs/b7d119b290d672df882fcf96","canonicalUrl":"https://jobsearcher.com/jobs/b7d119b290d672df882fcf96","title":"Software Platform Support Engineer - GPU Cloud","description":"Overview\nIn this role, you partner with internal customers to support NVIDIA DGX Cloud platforms, diagnosing issues, and improving self-help docs in a fast-moving environment. You will work with multiple teams to triage, escalate, and drive fixes, shaping the platform through feedback and tooling. You’ll support cloud deployments across compute, storage, and networking, helping customers achieve a smoother experience and enabling scalable AI workloads. This position combines hands-on troubleshooting with process improvement in a customer-centric, collaborative setting.\n\nCompensation / Benefitsequitybenefitsbase salary 108,000 - 172,500 USDremote/us locationsfull-time position\nResponsibilitiesCoordinate with cross-functional teams to provide Tier 1 support for complex cloud platformsDefine and improve runbooks, escalation paths, and support processesTriage and investigate root causes, escalate as neededFile bugs and collaborate with the Site Reliability teamBuild tooling to improve support process and visibilityDeeply understand user workloads and use casesPartner with internal teams to relay feedback to engineering and aid in solution developmentParticipate in on-call rotation to support production systems\nKey requirementsBS/MS in Computer Science or related areas (or equivalent experience)5+ years of experience supporting distributed software systems and end-user software platformsExperience with LinuxExperience with Kubernetes, AWS, Azure, OCI, and GCPBackground in Infrastructure, Networking, Storage, and DevOps scripting/toolingUnderstanding of data storage technologies (databases, file, block, blob)Customer service / support experienceWillingness to work across stack and across teamsStrong troubleshooting and communication skillscustomer focusclear communicationcross-functional collaborationKubernetesAWSAzure","company":"NVIDIA","rawCompany":"nvidia","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:50:49.198Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Platform Support Engineer - GPU Cloud","description":"Overview\nIn this role, you partner with internal customers to support NVIDIA DGX Cloud platforms, diagnosing issues, and improving self-help docs in a fast-moving environment. You will work with multiple teams to triage, escalate, and drive fixes, shaping the platform through feedback and tooling. You’ll support cloud deployments across compute, storage, and networking, helping customers achieve a smoother experience and enabling scalable AI workloads. This position combines hands-on troubleshooting with process improvement in a customer-centric, collaborative setting.\n\nCompensation / Benefitsequitybenefitsbase salary 108,000 - 172,500 USDremote/us locationsfull-time position\nResponsibilitiesCoordinate with cross-functional teams to provide Tier 1 support for complex cloud platformsDefine and improve runbooks, escalation paths, and support processesTriage and investigate root causes, escalate as neededFile bugs and collaborate with the Site Reliability teamBuild tooling to improve support process and visibilityDeeply understand user workloads and use casesPartner with internal teams to relay feedback to engineering and aid in solution developmentParticipate in on-call rotation to support production systems\nKey requirementsBS/MS in Computer Science or related areas (or equivalent experience)5+ years of experience supporting distributed software systems and end-user software platformsExperience with LinuxExperience with Kubernetes, AWS, Azure, OCI, and GCPBackground in Infrastructure, Networking, Storage, and DevOps scripting/toolingUnderstanding of data storage technologies (databases, file, block, blob)Customer service / support experienceWillingness to work across stack and across teamsStrong troubleshooting and communication skillscustomer focusclear communicationcross-functional collaborationKubernetesAWSAzure","datePosted":"2026-09-15T03:50:49.198Z","dateModified":"2026-09-15T03:50:49.198Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b7d119b290d672df882fcf96"},"url":"https://jobsearcher.com/jobs/b7d119b290d672df882fcf96"}}