{"schemaVersion":"jobsearcher.job.v1","id":"cfe7c2bf63a87f3e7ae4058b","url":"https://jobsearcher.com/jobs/cfe7c2bf63a87f3e7ae4058b","canonicalUrl":"https://jobsearcher.com/jobs/cfe7c2bf63a87f3e7ae4058b","title":"GPU Platform Infrastructure Engineer","description":"Job Title: GPU Platform Infrastructure Engineer\r\nJob Summary\r\nSupport the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and validation workloads. This role focuses on GPU access governance, resource allocation, scheduling policies, observability, and operational support for multi-tenant GPU environments including RTX 6000, A100, B200, and future systems.\r\nRequired Experience\r\n3+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, or related field\r\nBachelor's or Master's degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline\r\nResponsibilities\r\nManage GPU cluster access provisioning, onboarding, permissions, and lifecycle management\r\nDesign and maintain GPU resource allocation policies, quotas, namespace isolation, and scheduling configurations\r\nDevelop GPU utilization dashboards, reporting, monitoring, and capacity tracking solutions\r\nCreate reusable job submission templates and onboarding documentation for ML, Isaac Sim simulation, and validation workloads\r\nSupport platform governance, operational continuity, infrastructure scalability, and CI/CD integration\r\nDesign and develop GUI-based tools for streamlined Docker development workflows\r\nCollaborate with infrastructure, AI/ML, and engineering teams to support shared GPU operations\r\nRequired Skills\r\nExperience with Linux, Kubernetes, Docker, and GPU infrastructure environments\r\nKnowledge of workload scheduling, resource management, and multi-tenant platform operations\r\nExperience supporting AI/ML, simulation, or GPU-intensive engineering workloads\r\nExperience with monitoring, observability, and reporting tools\r\nStrong scripting and automation skills using Python, Bash, or similar languages\r\nFamiliarity with NVIDIA GPU platforms, containerized compute environments, and infrastructure automation tools\r\nExperience with CI/CD pipelines and cloud platforms such as AWS, Azure, or GCP is a plus\r\nExperience with GUI development frameworks is a plus\r\nStrong troubleshooting, documentation, and operational support skills\r\nJ-18808-Ljbffr","company":"Optimal Cae","rawCompany":"optimal cae","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-04T01:49:27.787Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU Platform Infrastructure Engineer","description":"Job Title: GPU Platform Infrastructure Engineer\r\nJob Summary\r\nSupport the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and validation workloads. This role focuses on GPU access governance, resource allocation, scheduling policies, observability, and operational support for multi-tenant GPU environments including RTX 6000, A100, B200, and future systems.\r\nRequired Experience\r\n3+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, or related field\r\nBachelor's or Master's degree in Systems Engineering, Computer Science, Computer Engineering, or related discipline\r\nResponsibilities\r\nManage GPU cluster access provisioning, onboarding, permissions, and lifecycle management\r\nDesign and maintain GPU resource allocation policies, quotas, namespace isolation, and scheduling configurations\r\nDevelop GPU utilization dashboards, reporting, monitoring, and capacity tracking solutions\r\nCreate reusable job submission templates and onboarding documentation for ML, Isaac Sim simulation, and validation workloads\r\nSupport platform governance, operational continuity, infrastructure scalability, and CI/CD integration\r\nDesign and develop GUI-based tools for streamlined Docker development workflows\r\nCollaborate with infrastructure, AI/ML, and engineering teams to support shared GPU operations\r\nRequired Skills\r\nExperience with Linux, Kubernetes, Docker, and GPU infrastructure environments\r\nKnowledge of workload scheduling, resource management, and multi-tenant platform operations\r\nExperience supporting AI/ML, simulation, or GPU-intensive engineering workloads\r\nExperience with monitoring, observability, and reporting tools\r\nStrong scripting and automation skills using Python, Bash, or similar languages\r\nFamiliarity with NVIDIA GPU platforms, containerized compute environments, and infrastructure automation tools\r\nExperience with CI/CD pipelines and cloud platforms such as AWS, Azure, or GCP is a plus\r\nExperience with GUI development frameworks is a plus\r\nStrong troubleshooting, documentation, and operational support skills\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T01:49:27.787Z","dateModified":"2026-07-04T01:49:27.787Z","hiringOrganization":{"@type":"Organization","name":"Optimal Cae","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cfe7c2bf63a87f3e7ae4058b"},"url":"https://jobsearcher.com/jobs/cfe7c2bf63a87f3e7ae4058b"}}