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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Network Architect - **Company:** The Eeo - **Location:** San Jose, CA, United States - **Salary:** $250,000.0 - $330,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Border Gateway Protocol, Big Data, Cloud Computing, Computer Engineering, Network Congestion, Ethernet, Network Interface Controllers, Firmware, InfiniBand, Interoperability, Network Architecture, PCI Express, AI Infrastructure, High Performance Computing, Low Latency, Open Network Automation Platform - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/3ce445b8-d4f8-4b9d-816b-839b7fa4e100 ## About the Role * 12+ years of experience designing, architecting, or productizing compute infrastructure for hyperscale, AI, HPC, cloud, or large-scale data center environments * Deep experience with AI compute platforms, including GPU/accelerator systems, high-density server architectures, rack-scale compute, and cluster-level design considerations * Strong understanding of server and rack-level architecture, including power, thermal, mechanical, serviceability, firmware, and platform integration requirements * Experience translating customer, workload, and deployment requirements into compute product requirements, platform roadmaps, technical specifications, and architecture tradeoffs * Familiarity with modern AI infrastructure components such as GPU servers, accelerator trays, NVLink/NVSwitch-class fabrics, PCIe/CXL, high-speed NICs, DPIPUs, and storage-attached compute architectures * Deep working knowledge of AI cluster networking and fabric dependencies, including InfiniBand, RoCEv2, Ethernet-based AI fabrics, 400G/800G interconnects, and GPU-to-GPU east-west traffic patterns * Experience with lossless or near-lossless Ethernet designs, including QoS, priority mapping, ECN, PFC, congestion management, buffer tuning, telemetry, and failure-domain isolation * Strong understanding of spine-leaf network architectures and associated technologies such as VXLAN, EVPN, BGP, MLAG, ECMP, underlay/overlay design, multi-tenant segmentation, and network automation * Ability to design and evaluate solutions across multiple networking platforms and operating models, with a vendor-agnostic approach to architecture, platform selection, interoperability, and lifecycle strategy * Experience comparing and integrating technologies across leading switch, NIC, accelerator, optical, and fabric ecosystems, while avoiding unnecessary vendor lock-in * Familiarity with high-speed optics and cabling implications for AI clusters, including 400G/800G DR4, FR4, LR4, SR, DAC/AOC, fiber topology, link budgets, and transceiver interoperability * Ability to evaluate how network choices impact compute product requirements, including NIC selection, DPU/IPU integration, PCIe lane allocation, rack power/thermal design, cabling density, latency, throughput, resiliency, and serviceability * Ability to partner closely with hardware engineering, supply chain, manufacturing, operations, networking, facilities, vendors/OEMs/ODMs, and customer-facing teams to bring compute platforms from concept through deployment * Background supporting large-scale infrastructure operations, including fleet deployment, platform lifecycle management, reliability, observability, telemetry, automation, and field issue resolution * Strong product mindset, with the ability to balance performance, cost, manufacturability, deployment velocity, serviceability, supply availability, power efficiency, ecosystem flexibility, and long-term scalability A strong fit would be someone who has sat at the intersection of AI compute architecture, product strategy, and hyperscale deployment-with enough network and fabric depth to understand how InfiniBand, RoCE, congestion control, platform interoperability, and spine-leaf design choices shape the compute products required for next-generation AI infrastructure. ## Related Videos - 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