Data Center Network Engineer for AI/GPU Spine-Leaf

Supermicro; San Jose (CA); On-site; USD 115,000 - 130,000; Full time

Job summary

Supermicro is seeking a Data Center Network Engineer to support daily operations of high-performance networking in AI labs and data center environments. This role focuses on rack-level deployment, cabling, switch configuration, and connectivity validation for GPU clusters and storage systems.

Responsibilities include configuring switches, validating fiber connectivity, and supporting spine-leaf deployments, with an emphasis on 100GbE+ networks and MLAG/port-channel configurations.

Qualifications

• BS degree in Computer Networking, Information Technology, or related field preferred.
• 5+ years of hands-on experience supporting network infrastructure in data centers or AI labs.
• Strong knowledge of TCP/IP, IPv4 addressing, subnetting, VLANs, and Layer 2/3 concepts.
• Experience with enterprise/data center switches such as Cisco/Arista; MLAG concepts preferred.
• Experience with 100GbE+ interfaces, QSFP/OSFP optics, DAC/AOC cables, and GPU networking requirements.

Responsibilities

• Deploy and maintain rack-level network infrastructure in data centers and AI labs.
• Configure and validate switch ports, VLANs, LACP, and port channels.
• Support spine-leaf deployment and high-density compute networking.
• Troubleshoot Layer 1–Layer 3 connectivity issues and perform RCA as needed.
• Lead 24/7 NOC operations and assist with incident response and runbook optimization.

Skills

TCP/IP knowledge

Linux CLI

Network troubleshooting

High-speed networking

Education

BS degree in Computer Networking or related field

Tools

Cisco

Arista

Job description

Supermicro is seeking a Data Center Network Engineer to support daily operations of high-performance networking in AI labs and data center environments. This role focuses on rack-level deployment, cabling, switch configuration, and connectivity validation for GPU clusters and storage systems.

Responsibilities include configuring switches, validating fiber connectivity, and supporting spine-leaf deployments, with an emphasis on 100GbE+ networks and MLAG/port-channel configurations.