{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/gnmi"},"x-facet":{"type":"skill","slug":"gnmi","display":"Gnmi","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9cd0420a-99d"},"title":"Network Engineer, Capacity and Efficiency","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.</li>\n<li>Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.</li>\n<li>Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.</li>\n<li>Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.</li>\n<li>Influence decisions you don&#39;t own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.</li>\n<li>Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).</li>\n<li>Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.</li>\n<li>Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.</li>\n<li>Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.</li>\n<li>Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.</li>\n<li>Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.</li>\n<li>Background on a cloud provider&#39;s networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.</li>\n<li>Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.</li>\n<li>Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.</li>\n<li>Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.</li>\n<li>Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.</li>\n<li>Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.</li>\n</ul>\n<p><strong>Representative Projects</strong></p>\n<ul>\n<li>Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it</li>\n<li>Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic</li>\n<li>Model whether it&#39;s cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity</li>\n<li>Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team&#39;s source of truth for network observability</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9cd0420a-99d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5177143008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["network engineering","network observability","telemetry pipelines","sFlow/IPFIX","gNMI streaming","eBPF host probes","BGP","ECMP","VXLAN/EVPN","QoS","DSCP","queuing","shaping","L1/optical basics","DWDM","coherent","LAGs","AWS","GCP","cloud networking","infrastructure-as-code","config management","automation","Python","Go","quantitative analysis","cost modeling","communication"],"x-skills-preferred":["SRE","cloud provider's networking team","cloud networking product team","AI/ML infrastructure traffic patterns","HPC fabrics","traffic engineering","multi-cloud connectivity","cost/chargeback systems","FinOps"],"datePosted":"2026-04-18T15:42:29.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network engineering, network observability, telemetry pipelines, sFlow/IPFIX, gNMI streaming, eBPF host probes, BGP, ECMP, VXLAN/EVPN, QoS, DSCP, queuing, shaping, L1/optical basics, DWDM, coherent, LAGs, AWS, GCP, cloud networking, infrastructure-as-code, config management, automation, Python, Go, quantitative analysis, cost modeling, communication, SRE, cloud provider's networking team, cloud networking product team, AI/ML infrastructure traffic patterns, HPC fabrics, traffic engineering, multi-cloud connectivity, cost/chargeback systems, FinOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a6f2cc66-67b"},"title":"Networking Operating System Firmware Engineer","description":"<p><strong>Networking Operating System Firmware Engineer</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you’ll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers.</p>\n<p>You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You’ll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics.</li>\n</ul>\n<ul>\n<li>Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers.</li>\n</ul>\n<ul>\n<li>Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.).</li>\n</ul>\n<ul>\n<li>Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation.</li>\n</ul>\n<ul>\n<li>Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines.</li>\n</ul>\n<ul>\n<li>Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners.</li>\n</ul>\n<ul>\n<li>Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology.</li>\n</ul>\n<ul>\n<li>Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows.</li>\n</ul>\n<ul>\n<li>Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet.</li>\n</ul>\n<ul>\n<li>Support factory bring-up and qualification all the way through mass deployment.</li>\n</ul>\n<ul>\n<li>Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.).</li>\n</ul>\n<ul>\n<li>Experience with updating OpenConfig gNMI interfaces and YANG data models.</li>\n</ul>\n<ul>\n<li>Strong background in Linux kernel, network device drivers, and low-level OS internals.</li>\n</ul>\n<ul>\n<li>Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations.</li>\n</ul>\n<ul>\n<li>Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus.</li>\n</ul>\n<ul>\n<li>Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry.</li>\n</ul>\n<ul>\n<li>Hands-on experience with hardware platform bring-up and board-level debugging.</li>\n</ul>\n<ul>\n<li>Familiarity with CI/CD pipelines, distributed config/state management, and large-scale automation.</li>\n</ul>\n<ul>\n<li>Strong cross-functional problem solving in high-performance, distributed environments.</li>\n</ul>\n<ul>\n<li>Ability to lead teams to deliver a project end to end.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a6f2cc66-67b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/582b878e-61bf-4be2-8b30-623434baf726","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$266K – $445K","x-skills-required":["SONiC","Linux kernel","network device drivers","low-level OS internals","C","C++","Python","Rust/Go","L2/L3 forwarding","ECMP","RoCE","BGP","QoS","PFC","buffer tuning","telemetry"],"x-skills-preferred":["OpenConfig gNMI interfaces","YANG data models","Broadcom / Marvell / NVIDIA / Intel ASIC SDKs","SAI implementations","CI/CD pipelines","distributed config/state management","large-scale automation"],"datePosted":"2026-03-06T18:29:41.466Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SONiC, Linux kernel, network device drivers, low-level OS internals, C, C++, Python, Rust/Go, L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, telemetry, OpenConfig gNMI interfaces, YANG data models, Broadcom / Marvell / NVIDIA / Intel ASIC SDKs, SAI implementations, CI/CD pipelines, distributed config/state management, large-scale automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":266000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_93ab9223-11a"},"title":"Sr. Network Architect - Datacenter, Automation, Cloud","description":"<p>Opening. This role is a Sr. Network Architect position that exists to lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>As a Sr. Network Architect, you will lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs. You will develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.</p>\n<ul>\n<li>Lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs.</li>\n<li>Develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>BS in Engineering or related field (MS preferred).</li>\n<li>10+ years of experience in network engineering/data center infrastructure with significant ownership of large-scale networks.</li>\n<li>Expert-level knowledge of DC and service provider protocols: BGP, MPLS, Segment Routing, EVPN, VXLAN, QoS, and traffic engineering.</li>\n<li>Advanced proficiency with Cisco ACI (Application Centric Infrastructure), including automation via APIC REST, SDK, and Ansible collections.</li>\n<li>Strong experience with network automation (Python, Ansible) and observability tools (gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana).</li>\n<li>Demonstrated leadership in mentoring teams and managing complex projects from inception to completion.</li>\n<li>Proven program management skills with the ability to align cross-functional teams and achieve results.</li>\n<li>Excellent analytical, organizational, and problem-solving abilities with a focus on KPIs and operational excellence.</li>\n<li>Strong written and verbal communication skills, with the ability to convey technical information to diverse audiences.</li>\n</ul>\n<p><strong>Why this matters</strong></p>\n<p>This role will shape the strategic direction of Synopsys&#39; network infrastructure, enabling rapid business growth and innovation. It will drive the adoption of cutting-edge technologies and best practices, enhancing Synopsys&#39; competitive edge in the industry.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_93ab9223-11a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/sunnyvale/sr-network-architect-datacenter-automation-cloud/44408/92101524752","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$144000-$216000","x-skills-required":["network engineering","data center infrastructure","network automation","observability tools","program management","leadership","communication skills"],"x-skills-preferred":["Cisco ACI","Python","Ansible","gNMI","NetFlow/IPFIX/sFlow","Elastic","Grafana"],"datePosted":"2026-03-04T17:10:09.777Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"network engineering, data center infrastructure, network automation, observability tools, program management, leadership, communication skills, Cisco ACI, Python, Ansible, gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":144000,"maxValue":216000,"unitText":"YEAR"}}}]}