{"schemaVersion":"jobsearcher.job.v1","id":"60b855b1df059d1e0d291b1f","url":"https://jobsearcher.com/jobs/60b855b1df059d1e0d291b1f","canonicalUrl":"https://jobsearcher.com/jobs/60b855b1df059d1e0d291b1f","title":"Software Platform Support Engineer - GPU Cloud","description":"The NVIDIA DGX Cloud organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves in an ambiguous / fast-moving environment. The support you provide will help our users have a better experience and help shape our platform.\n\nWe expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments.\n\nWhat will you be doing:\n\nCoordinate with multiple internal teams to provide Tier 1 support for complex cloud platforms\n\nDefine and improve operational workflows (runbooks, escalation paths, support processes)\n\nTriage/investigate root cause of customer issues and escalate as needed\n\nFile bugs and report issues while working closely with the Site Reliability team\n\nBuild tooling to improve customer support process and visibility\n\nDeeply understand user workloads and use cases\n\nPartner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success\n\nBe part of an on call rotation to support production systems\n\nWhat we need to see:\n\nBS/MS degree in Computer science or related areas (or equivalent experience)\n\n5+ yrs of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux\n\nExperience with Kubernetes, AWS, Azure, OCI, and GCP\n\nBackground of Infrastructure, Networking, Storage, and DevOps scripting/tooling\n\nUnderstanding of data storage technologies (databases, file, block, blob)\n\nCustomer Service/Support Experience\n\nWillingness to work up and down the stack as well as across multiple teams\n\nStrong skills in troubleshooting and Communication\n\nWays to stand out from the crowd:\n\nExperience with MLOps workflows or ML infrastructure\n\nFamiliarity with GPU workloads or distributed training systems\n\nSLURM or HPC previous experience\n\nStrong drive to work with internal customers and make them successful\n\nA drive to improve process with strong organizational skills\n\nNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until September 15, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-14T10:25:10.834Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"}],"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":"The NVIDIA DGX Cloud organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves in an ambiguous / fast-moving environment. The support you provide will help our users have a better experience and help shape our platform.\n\nWe expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments.\n\nWhat will you be doing:\n\nCoordinate with multiple internal teams to provide Tier 1 support for complex cloud platforms\n\nDefine and improve operational workflows (runbooks, escalation paths, support processes)\n\nTriage/investigate root cause of customer issues and escalate as needed\n\nFile bugs and report issues while working closely with the Site Reliability team\n\nBuild tooling to improve customer support process and visibility\n\nDeeply understand user workloads and use cases\n\nPartner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success\n\nBe part of an on call rotation to support production systems\n\nWhat we need to see:\n\nBS/MS degree in Computer science or related areas (or equivalent experience)\n\n5+ yrs of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux\n\nExperience with Kubernetes, AWS, Azure, OCI, and GCP\n\nBackground of Infrastructure, Networking, Storage, and DevOps scripting/tooling\n\nUnderstanding of data storage technologies (databases, file, block, blob)\n\nCustomer Service/Support Experience\n\nWillingness to work up and down the stack as well as across multiple teams\n\nStrong skills in troubleshooting and Communication\n\nWays to stand out from the crowd:\n\nExperience with MLOps workflows or ML infrastructure\n\nFamiliarity with GPU workloads or distributed training systems\n\nSLURM or HPC previous experience\n\nStrong drive to work with internal customers and make them successful\n\nA drive to improve process with strong organizational skills\n\nNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until September 15, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","datePosted":"2026-09-14T10:25:10.834Z","dateModified":"2026-09-14T10:25:10.834Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"60b855b1df059d1e0d291b1f"},"url":"https://jobsearcher.com/jobs/60b855b1df059d1e0d291b1f"}}