Sr Ethernet AI Network Engineer

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Deploy, validate, and support Ethernet fabrics used for AI and HPC cluster environments. Troubleshoot L1 through L4 issues involving optics, transceivers, cabling, link bring-up, VLANs, MLAG, ECMP, BGP, underlay/overlay reachability, congestion, and packet loss. Validate network readiness for distributed training and large east-west traffic patterns.

Diagnose performance issues related to buffer pressure, microbursts, PFC behavior, QoS policy, MTU mismatch, routing instability, and oversubscription. Work closely with Linux, storage, and cluster deployment teams to isolate host-versus-network fault domains. Review and execute change plans for switch provisioning, firmware upgrades, topology expansion, and maintenance events.

Capture packet-level and counter-based evidence to drive root cause analysis. Build operational standards for cable mapping, port policy consistency, and fabric health validation. Required

7+ years in large-scale data center networking, including high-bandwidth Ethernet fabrics. Strong experience with spine-leaf design, routing, switching, and pro