{"schemaVersion":"jobsearcher.job.v1","id":"eb77cdff37ec0072bab63405","url":"https://jobsearcher.com/jobs/eb77cdff37ec0072bab63405","canonicalUrl":"https://jobsearcher.com/jobs/eb77cdff37ec0072bab63405","title":"Staff Infrastructure Engineer, Networking","description":"Location: Remote (US). Must be based in Dallas, San Francisco or New York City. Remote for now, with hybrid planned further down the road.Pay:L6 (Staff): $270,400–$365,000L7 (Sr. Staff): $341,400–$401,600Compensation is not an issue for the right person. The role pays nearly all cash: the bonus is folded into base, and there is an equity component on top.A late-stage AI cloud company backed by NVIDIA, with a valuation in the billions, runs AI compute out of data centers around the world and is building dedicated, isolated GPU clusters for customers running AI training and inference. This role designs, builds and automates the data center networks underneath that platform, and keeps them running in production.What you'll doDesign and build data center network fabrics for large GPU clustersAutomate network provisioning, configuration and change management in codeOwn BGP, routing policy, VLANs, VRFs and EVPN/VXLAN across sitesBring up and tune GPU networking (InfiniBand, RoCE) for performance and isolationBuild network telemetry, and lead troubleshooting and incident responseWork with the Kubernetes platform, compute and security teamsWhat you bringProduction ownership of bare-metal leaf-spine data center networksDeep networking: TCP/IP, BGP, ECMP, segmentation, interconnectsNetwork automation in Go or Python, with GitOps and controlled rolloutsLinux and Kubernetes networking fundamentalsNice to have: NVIDIA AI networking (InfiniBand, Spectrum-X, RDMA); Netris, UFM or NetBox; multi-site connectivity for large GPU clustersMural Group is recruiting for this role on behalf of a client. Apply here and a Mural recruiter will be in touch.","company":"Mural Group","rawCompany":"mural group","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-08T05:48:59.726Z","occupations":[{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1231.00","title":"Computer Network Support Specialists","slug":"computer-network-support-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Infrastructure Engineer, Networking","description":"Location: Remote (US). Must be based in Dallas, San Francisco or New York City. Remote for now, with hybrid planned further down the road.Pay:L6 (Staff): $270,400–$365,000L7 (Sr. Staff): $341,400–$401,600Compensation is not an issue for the right person. The role pays nearly all cash: the bonus is folded into base, and there is an equity component on top.A late-stage AI cloud company backed by NVIDIA, with a valuation in the billions, runs AI compute out of data centers around the world and is building dedicated, isolated GPU clusters for customers running AI training and inference. This role designs, builds and automates the data center networks underneath that platform, and keeps them running in production.What you'll doDesign and build data center network fabrics for large GPU clustersAutomate network provisioning, configuration and change management in codeOwn BGP, routing policy, VLANs, VRFs and EVPN/VXLAN across sitesBring up and tune GPU networking (InfiniBand, RoCE) for performance and isolationBuild network telemetry, and lead troubleshooting and incident responseWork with the Kubernetes platform, compute and security teamsWhat you bringProduction ownership of bare-metal leaf-spine data center networksDeep networking: TCP/IP, BGP, ECMP, segmentation, interconnectsNetwork automation in Go or Python, with GitOps and controlled rolloutsLinux and Kubernetes networking fundamentalsNice to have: NVIDIA AI networking (InfiniBand, Spectrum-X, RDMA); Netris, UFM or NetBox; multi-site connectivity for large GPU clustersMural Group is recruiting for this role on behalf of a client. Apply here and a Mural recruiter will be in touch.","datePosted":"2026-11-08T05:48:59.726Z","dateModified":"2026-11-08T05:48:59.726Z","hiringOrganization":{"@type":"Organization","name":"Mural Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eb77cdff37ec0072bab63405"},"url":"https://jobsearcher.com/jobs/eb77cdff37ec0072bab63405"}}