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 engineering labs. Our team is responsible for network design, deployment, and operations for Meta's global engineering labs where we support multiple engineering teams. With the importance of rapidly maturing new technologies like the Metaverse and Gen AI, there are significant opportunities to re-think traditional networking and iterate quickly in our environment.
This role offers an opportunity to work directly with engineering teams that are maturing new hardware and software on the path to production. 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, s
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