Sr Ethernet AI Network Engineer

📋 Description

• Deploy, validate, and support Ethernet network fabrics for AI and high-performance computing (HPC)
• Troubleshoot network issues across Layers 1 through 4, including optics, transceivers, cabling
• Validate network readiness for distributed AI training and high-volume east-west traffic patterns.
• Diagnose and resolve network performance issues involving buffer pressure, microbursts, Priority
• Work closely with Linux, storage, and cluster deployment teams to isolate host-related issues from
• Review and execute network change plans covering switch provisioning, firmware upgrades, topology

🎯 Requirements

• At least 7 years of experience in large-scale data center networking, including high-bandwidth
• Strong expertise in spine-leaf network architecture, routing, switching, and production network
• Hands-on experience with BGP, EVPN/VXLAN, MLAG, ECMP, QoS, PFC, and RoCE-related networking
• Ability to interpret network telemetry and diagnose complex connectivity, congestion, and
• Experience validating optical transceivers, breakout configurations, cabling infrastructure, and
• Demonstrated ability to troubleshoot distributed application performance issues caused by network

🎁 Benefits

• Remote working arrangement.
• Opportunity to contribute to advanced AI and high-performance computing infrastructure.
• Exposure to large-scale, high-bandwidth Ethernet environments and modern data center technologies.
• Opportunities to deepen expertise in AI networking, GPU cluster infrastructure, and network
• Collaborative environment that encourages ownership, continuous learning, and professional growth.
• Opportunity to take on meaningful technical challenges and contribute to the development of