{"schemaVersion":"jobsearcher.job.v1","id":"776940975a8314f4b4c066f0","url":"https://jobsearcher.com/jobs/776940975a8314f4b4c066f0","canonicalUrl":"https://jobsearcher.com/jobs/776940975a8314f4b4c066f0","title":"Senior Software Engineer - GPU Sandboxes","description":"Give every AI agent its own GPU Senior Software Engineer – GPU Sandboxes\r\nSan Francisco onsite | Relocation considered | Equity offered\r\nAI agents increasingly need more than access to a model. They need their own secure compute environment, with real GPU capacity available in seconds.\r\nThat is what you'll help build.\r\nYou'll join a well-funded AI infrastructure company creating isolated, stateful computers that agents can launch and control through an API. The GPU platform is still being built, so you won't be maintaining someone else's architecture you'll be instrumental in defining how it works.\r\nYou'll work deep in the stack across:\r\nKVM/QEMU and GPU passthrough\r\nVFIO, IOMMU and PCIe isolation\r\nNVIDIA drivers and CUDA lifecycle\r\nVM boot paths, snapshots and cold-start performance\r\nGPU-aware scheduling and bin-packing\r\nHealth monitoring, failure detection and automated recovery\r\nSecurity boundaries across shared hosts\r\nThey need someone who has built or debugged the underlying virtualization, isolation or device layer in production. KVM/QEMU, Cloud Hypervisor or Firecracker would be ideal, although similarly deep experience with crosvm, Kata Containers, Xen or another hypervisor can translate.\r\nYou should also have operated GPUs in production and be comfortable tracing difficult failures across the hypervisor, Linux kernel, drivers and physical hardware.\r\nGo, Rust or C/C++ can all work.\r\nThis is rare, high-impact systems engineering with very little existing playbook. You'll have genuine influence over the architecture, technical direction and foundations of a GPU platform being built for the next generation of AI agents.\r\nOnsite in San Francisco, with relocation considered and equity offered.\r\nJ-18808-Ljbffr","company":"Nine Dots","rawCompany":"nine dots","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:42:10.292Z","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":"15-1299.00","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":"Senior Software Engineer - GPU Sandboxes","description":"Give every AI agent its own GPU Senior Software Engineer – GPU Sandboxes\r\nSan Francisco onsite | Relocation considered | Equity offered\r\nAI agents increasingly need more than access to a model. They need their own secure compute environment, with real GPU capacity available in seconds.\r\nThat is what you'll help build.\r\nYou'll join a well-funded AI infrastructure company creating isolated, stateful computers that agents can launch and control through an API. The GPU platform is still being built, so you won't be maintaining someone else's architecture you'll be instrumental in defining how it works.\r\nYou'll work deep in the stack across:\r\nKVM/QEMU and GPU passthrough\r\nVFIO, IOMMU and PCIe isolation\r\nNVIDIA drivers and CUDA lifecycle\r\nVM boot paths, snapshots and cold-start performance\r\nGPU-aware scheduling and bin-packing\r\nHealth monitoring, failure detection and automated recovery\r\nSecurity boundaries across shared hosts\r\nThey need someone who has built or debugged the underlying virtualization, isolation or device layer in production. KVM/QEMU, Cloud Hypervisor or Firecracker would be ideal, although similarly deep experience with crosvm, Kata Containers, Xen or another hypervisor can translate.\r\nYou should also have operated GPUs in production and be comfortable tracing difficult failures across the hypervisor, Linux kernel, drivers and physical hardware.\r\nGo, Rust or C/C++ can all work.\r\nThis is rare, high-impact systems engineering with very little existing playbook. You'll have genuine influence over the architecture, technical direction and foundations of a GPU platform being built for the next generation of AI agents.\r\nOnsite in San Francisco, with relocation considered and equity offered.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:42:10.292Z","dateModified":"2026-08-08T01:42:10.292Z","hiringOrganization":{"@type":"Organization","name":"Nine Dots","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"776940975a8314f4b4c066f0"},"url":"https://jobsearcher.com/jobs/776940975a8314f4b4c066f0"}}