{"schemaVersion":"jobsearcher.job.v1","id":"38d3d48d8053e728aa38fd39","url":"https://jobsearcher.com/jobs/38d3d48d8053e728aa38fd39","canonicalUrl":"https://jobsearcher.com/jobs/38d3d48d8053e728aa38fd39","title":"Senior Systems Software Engineer, GPU Fleet Telemetry","description":"OverviewAs a Senior Software Engineer on the DGX Cloud / Fleet Intelligence team, you will build agent-side and collector systems to monitor GPU health, host telemetry, inventory, attestation, and BMC data across NVIDIA's GPU fleet. You'll contribute to open source software used by developers, operators, and customers, while improving deployment, observability, and backend workflows. You'll work closely with cross-functional teams to deliver reliable fleet observability at cloud scale. This role offers meaningful impact through building resilient, scalable infrastructure for enterprise AI workloads.Compensation / BenefitsequitybenefitsResponsibilitiesDesign and develop Fleet Intelligence agent software for Linux hosts, bare metal, and Kubernetes GPU nodesBuild telemetry and health collection for GPUs, drivers, runtimes, InfiniBand, containers, and OS stateDevelop inventory, enrollment, node identity, attestation, local state, and backend export workflows; maintain API, Prometheus metrics, file export, and OTLP/HTTP pathsEnhance Kubernetes daemonset deployment, systemd packaging, .deb/.rpm packaging, and container image workflowsContribute to open source Fleet Intelligence agent/collector software (code, tests, docs, release artifacts)Contribute to out-of-band collection using Redfish/BMC interfaces for inventory and attestationImprove collector concurrency, rate limiting, retry logic, credential handling, partial-failure handling, and backend submissionCollaborate with backend, infrastructure, SRE, security, and datacenter ops teams to ensure reliable GPU fleet observabilityKey requirements5+ years of software engineering experience with a related degree or equivalentStrong Go development experience for Linux services, CLIs, agents, or daemonsRust experience or willingness to work in Rust for out-of-band collector developmentStrong Linux systems knowledge (processes, filesystems, networking, service lifecycle, logs, permissions, host diagnostics)Experience with telemetry/observability/fleet-management, and with Docker, Kubernetes, Helm, and production deployment workflowsExperience contributing to open source projects and working in public repositories with code review, docs, release notes, and signed commitsFamiliarity with secure credential handling, enrollment flows, tokens/JWTs, and service-to-service authenticationStrong debugging skills across hardware-adjacent software, OS, containers, and distributed backendscollaboration with cross-functional teamsstrong debugging and problem-solvingattention to detail and reliabilityGoRust (or willingness to learn)Linux systems","company":"NVIDIA","rawCompany":"nvidia","city":"Bakersfield","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:27:47.745Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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 Systems Software Engineer, GPU Fleet Telemetry","description":"OverviewAs a Senior Software Engineer on the DGX Cloud / Fleet Intelligence team, you will build agent-side and collector systems to monitor GPU health, host telemetry, inventory, attestation, and BMC data across NVIDIA's GPU fleet. You'll contribute to open source software used by developers, operators, and customers, while improving deployment, observability, and backend workflows. You'll work closely with cross-functional teams to deliver reliable fleet observability at cloud scale. This role offers meaningful impact through building resilient, scalable infrastructure for enterprise AI workloads.Compensation / BenefitsequitybenefitsResponsibilitiesDesign and develop Fleet Intelligence agent software for Linux hosts, bare metal, and Kubernetes GPU nodesBuild telemetry and health collection for GPUs, drivers, runtimes, InfiniBand, containers, and OS stateDevelop inventory, enrollment, node identity, attestation, local state, and backend export workflows; maintain API, Prometheus metrics, file export, and OTLP/HTTP pathsEnhance Kubernetes daemonset deployment, systemd packaging, .deb/.rpm packaging, and container image workflowsContribute to open source Fleet Intelligence agent/collector software (code, tests, docs, release artifacts)Contribute to out-of-band collection using Redfish/BMC interfaces for inventory and attestationImprove collector concurrency, rate limiting, retry logic, credential handling, partial-failure handling, and backend submissionCollaborate with backend, infrastructure, SRE, security, and datacenter ops teams to ensure reliable GPU fleet observabilityKey requirements5+ years of software engineering experience with a related degree or equivalentStrong Go development experience for Linux services, CLIs, agents, or daemonsRust experience or willingness to work in Rust for out-of-band collector developmentStrong Linux systems knowledge (processes, filesystems, networking, service lifecycle, logs, permissions, host diagnostics)Experience with telemetry/observability/fleet-management, and with Docker, Kubernetes, Helm, and production deployment workflowsExperience contributing to open source projects and working in public repositories with code review, docs, release notes, and signed commitsFamiliarity with secure credential handling, enrollment flows, tokens/JWTs, and service-to-service authenticationStrong debugging skills across hardware-adjacent software, OS, containers, and distributed backendscollaboration with cross-functional teamsstrong debugging and problem-solvingattention to detail and reliabilityGoRust (or willingness to learn)Linux systems","datePosted":"2026-10-26T13:27:47.745Z","dateModified":"2026-10-26T13:27:47.745Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bakersfield","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"38d3d48d8053e728aa38fd39"},"url":"https://jobsearcher.com/jobs/38d3d48d8053e728aa38fd39"}}