Sr Ethernet AI Network Engineer

Vailexa; Santa Clara (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Vailexa Technology is seeking a senior network engineer to design, deploy, and support large-scale Ethernet fabrics for AI and HPC workloads in our Santa Clara data centers. You will troubleshoot complex issues across optics, routing, and switching, and work closely with Linux, storage, and cluster teams to ensure high-performance, reliable networks.

The role emphasizes spine-leaf architectures, BGP/EVPN VXLAN, MLAG/ECMP, QoS and telemetry analysis, with a strong focus on automation and

Qualifications

• 7+ years in large-scale data center networking.
• 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.

Responsibilities

• Deploy, validate, and support Ethernet fabrics for AI and HPC clusters.
• Troubleshoot L1–L4 issues involving optics, transceivers, cabling, VLANs, BGP, and underlay/overlay reachability.
• Validate network readiness for distributed training and large east-west traffic patterns.
• Diagnose performance issues like buffer pressure, microbursts, and QoS behavior.
• Collaborate with Linux, storage, and cluster teams to isolate host-versus-network faults.
• Review and execute change plans for switch provisioning, firmware upgrades, and topology expansion.
• Capture packet-level and counter-based data to drive root-cause analysis.
• Build standards for cable mapping, port policy, and fabric health validation.

Skills

Spine-leaf design

Routing & Switching

BGP EVPN VXLAN

MLAG ECMP QoS PFC

Telemetry interpretation

CLI automation tools

Network documentation

Tools

Prometheus/Grafana

SONiC / Cumulus Linux

Network NOS platforms

Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.

Key Responsibilities

• 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 Qualifications

• 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 Qualifications

• 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.

Vailexa Technology is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable law.