Lead Network Engineer, AI Compute Lab & R&D Networks

Meta; Fort Worth (TX); On-site; USD 135,000 - 191,000; Full time

Job summary

Meta is seeking a Network Engineer to own the end-to-end design, deployment, and operations for AI and compute lab clusters in a high-performance environment. The role focuses on multi-vendor fabrics, scale-out networks, and low-latency connectivity, with an emphasis on automation and ZTP workflows.

You will collaborate with hardware, software, and lab operations teams, perform advanced diagnostics, and support deployments across regions.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 6+ years designing, deploying, and operating network infrastructure in production or lab environments.
• Experience with multi-vendor environments (Arista, FBOSS) and lab networking hardware.
• Experience with configuration management, repositories, and ZTP for network infrastructure.
• Experience with IPv4/IPv6, L2/L3 protocols, and related network services.
• Scripting or programming (Python, shell) for automation and tooling.

Responsibilities

• Own end-to-end network design, deployment, and operations for AI compute lab clusters.
• Lead lab network lifecycle activities including upgrades, migrations, and capacity expansions.
• Develop and maintain network automation, templates, and ZTP workflows.
• Create runbooks and readiness checklists for internal teams and vendor executions.
• Provide consultation and training to cross-functional partners to operate lab networks.

Skills

Network design and deployment

L2/L3 troubleshooting

Python scripting

Automation and orchestration

Root-cause analysis

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Arista

FBOSS

SONiC

Cumulus Linux

BCM shell / I2C utilities

Job description

Meta is seeking a Network Engineer to own the end-to-end design, deployment, and operations for AI and compute lab clusters in a high-performance environment. The role focuses on multi-vendor fabrics, scale-out networks, and low-latency connectivity, with an emphasis on automation and ZTP workflows.

You will collaborate with hardware, software, and lab operations teams, perform advanced diagnostics, and support deployments across regions.