AI Data Center Network Engineer - Spine-Leaf & 400GbE

Support Revolution

San Jose (CA)

On-site

USD 115,000 - 130,000

Full time

4 days ago
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Job summary

Supermicro is seeking a Data Center Network Engineer to support daily operations of high-performance networking infrastructure within our AI lab(s) and data center environments. This role focuses on rack-level deployment, cabling, switch configuration support, and troubleshooting connectivity for GPU clusters and storage systems.

The position requires hands-on experience with 100GbE networks, spine-leaf fabrics, and Linux command-line tools.

Qualifications

  • BS degree preferred in a technical field.
  • 5+ years in data center/network infrastructure.
  • Strong TCP/IP, VLANs, and Layer 2/3 concepts understanding.
  • Experience with Cisco/Arista switches and 100GbE+ hardware.
  • Familiarity with Spine-Leaf architectures and GPU Networking is a plus.

Responsibilities

  • Data Center Network Deployment: Rack, stack, cable, label, and commission high-speed Ethernet switches (10/25/100/200/400GbE).
  • Fiber & high-speed connectivity: Install and validate fiber and high-speed interconnects.
  • Switch Configuration: Configure ports, VLANs, and link aggregation according to standards.
  • Spine-Leaf Network Deployment: Support deployment and troubleshooting of spine-leaf fabrics.
  • GPU & Server Connectivity: Ensure connectivity for GPU servers and compute nodes.
  • Network Troubleshooting: Diagnose issues across Layer 1–3, escalate when needed.
  • Performance & Link Validation: Run tests to validate links and detect anomalies.
  • Topology & Documentation: Maintain rack layouts, port mappings, and inventory.

Skills

TCP/IP
IPv4 addressing
Subnetting
VLANs
LACP/port channels
Layer 2/3 concepts
MLAG concepts
Linux CLI

Education

BS degree in Computer Networking/Information Technology or related field

Tools

Cisco switches
Arista switches
Network monitoring tools

Job description

Supermicro is seeking a Data Center Network Engineer to support daily operations of high-performance networking infrastructure within our AI lab(s) and data center environments. This role focuses on rack-level deployment, cabling, switch configuration support, and troubleshooting connectivity for GPU clusters and storage systems.

The position requires hands-on experience with 100GbE networks, spine-leaf fabrics, and Linux command-line tools.

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