{"schemaVersion":"jobsearcher.job.v1","id":"b168906335210d26fcd74cb3","url":"https://jobsearcher.com/jobs/b168906335210d26fcd74cb3","canonicalUrl":"https://jobsearcher.com/jobs/b168906335210d26fcd74cb3","title":"Staff Software Engineer, GPU Embedded Systems","description":"OverviewIn this role you will shape the software stack for next-generation GPU accelerator systems powering large-scale AI infrastructure. You will collaborate with product teams to define a secure, scalable data plane and bridging between containers and lightweight VMs. You'll drive hardware security integration, cross-architecture evaluation, and roadmapping to balance performance with reliability. This is a high-impact, cross-functional role at a hyperscale environment that values innovation and leadership.Compensation / Benefitsbonus targetequitybenefitsResponsibilitiesDrive design and development of next-gen GPU accelerator systems from concept to deploymentIdentify value-added features for bare-metal, virtualized, and container-based use casesDesign in-band telemetry and control daemons to securely bridge host and guest environmentsIntegrate hardware security features into production software pipelinesEvaluate architectural challenges across different CPU architectures and recommend system balanceAnticipate performance implications of Linux Kernel, VMs, containers, and networking and adapt GPU systems accordinglyDefine GPU roadmap by collaborating with Google product teams and external partnersDerive a common architecture by influencing vendors and standards committeesKey requirementsBachelor's degree or equivalent practical experience8 years of experience in software development5 years of experience testing and launching software products5 years of experience working with embedded operating systems3 years of experience with software design and architectureExperience with system development, device drivers and Kernel programmingLeadership and team guidanceCross-functional collaborationStrategic thinking and communicationPCI ExpressGPU programmingLinux internals and Linux Kernel","company":"Google","rawCompany":"google","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-26T14:28:01.089Z","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":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Software Engineer, GPU Embedded Systems","description":"OverviewIn this role you will shape the software stack for next-generation GPU accelerator systems powering large-scale AI infrastructure. You will collaborate with product teams to define a secure, scalable data plane and bridging between containers and lightweight VMs. You'll drive hardware security integration, cross-architecture evaluation, and roadmapping to balance performance with reliability. This is a high-impact, cross-functional role at a hyperscale environment that values innovation and leadership.Compensation / Benefitsbonus targetequitybenefitsResponsibilitiesDrive design and development of next-gen GPU accelerator systems from concept to deploymentIdentify value-added features for bare-metal, virtualized, and container-based use casesDesign in-band telemetry and control daemons to securely bridge host and guest environmentsIntegrate hardware security features into production software pipelinesEvaluate architectural challenges across different CPU architectures and recommend system balanceAnticipate performance implications of Linux Kernel, VMs, containers, and networking and adapt GPU systems accordinglyDefine GPU roadmap by collaborating with Google product teams and external partnersDerive a common architecture by influencing vendors and standards committeesKey requirementsBachelor's degree or equivalent practical experience8 years of experience in software development5 years of experience testing and launching software products5 years of experience working with embedded operating systems3 years of experience with software design and architectureExperience with system development, device drivers and Kernel programmingLeadership and team guidanceCross-functional collaborationStrategic thinking and communicationPCI ExpressGPU programmingLinux internals and Linux Kernel","datePosted":"2026-10-26T14:28:01.089Z","dateModified":"2026-10-26T14:28:01.089Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b168906335210d26fcd74cb3"},"url":"https://jobsearcher.com/jobs/b168906335210d26fcd74cb3"}}