Job Title : Senior Ethernet AI Network
Location : Santa Clara, CA
Contract
The Candidate will provide senior network engineering services for Ethernet-based AI data center fabrics supporting GPU compute clusters, storage connectivity, and management plane services. The role requires strong operational judgment, hands-on troubleshooting, and the ability to resolve failures across spine-leaf architectures under production pressure.
WHAT THIS CANDIDATE WILL BE DOING
- 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.
WHAT WE NEE D TO SEE
- 7+ years in large-scale data center networking, including high-bandwidth Ethernet fabrics.
- Strong experience with spine-leaf design, routing, switching, and production troubleshooting.
- Hands-on skill with BGP, EVPN/VXLAN, MLAG, ECMP, QoS, PFC, RoCE considerations, and telemetry interpretation.
- Experience validating optics, breakout configurations, cable plant integrity, and port-level consistency.
- Proven ability to troubleshoot distributed application impact caused by network behavior.
- Comfort using switch CLI, automation tooling, and packet/counter analysis workflows.
- Strong documentation habits for topology, incident timelines, and remediation plans.
PREFERRED EXPERIENCE
- Direct experience with AI fabrics carrying large-scale GPU collective traffic.
- Familiarity with SONiC, Cumulus Linux, or vendor NOS platforms used in AI data centers.
- Experience with streaming telemetry, Prometheus/Grafana, and network SRE operating models