Senior Lab Network Engineer for AI Compute Environments

Meta; Austin (TX); On-site; USD 193,000 - 271,000; Full time

Job summary

Meta’s Lab Infrastructure, Network, Compliance, and Security (LINCS) team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global lab footprint. You will own end‑to‑end design, deployment, and operation for AI compute lab clusters, collaborating with engineering teams maturing new hardware and software for production use.

The role emphasizes design, troubleshooting, and proactive validation across Arista and internally developed networks, with

Responsibilities

• Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
• Serve as a primary networking point of contact for backend fabrics, including Arista and internally developed network OS-based scale-out networks supporting AI workloads
• Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
• Perform hands‑on troubleshooting and root‑cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
• Support silicon, hardware, and software bring‑ups, ensuring reliable connectivity and on‑time validation
• Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
• Develop and maintain network automation, configuration templates, and zero‑touch provisioning (ZTP) workflows
• Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
• Provide direct consultation and training to cross‑functional partners, enabling teams to operate and troubleshoot lab networks
• End-to-end ownership of projects from requirements definition through customer handoff
• Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs
• Support limited travel (about 10%) for critical lab builds, migrations, or escalations

Job description

Meta’s Lab Infrastructure, Network, Compliance, and Security (LINCS) team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global lab footprint. You will own end‑to‑end design, deployment, and operation for AI compute lab clusters, collaborating with engineering teams maturing new hardware and software for production use.

The role emphasizes design, troubleshooting, and proactive validation across Arista and internally developed networks, with