Network Engineer, Engineering R&D Environments

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. Our team is responsible for network design, deployment, and operation for Meta's global labs in support of multiple engineering teams. With the importance of rapidly maturing new technologies like AI-equipped wearables 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, 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

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 10+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
• Experience working in multi‑vendor network environments (e.g., Arista, Cisco, Juniper, open network OS‑based platforms)
• Experience with configuration management, code repositories, and zero‑touch provisioning (ZTP) for network infrastructure
• Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC‑LAG, ACLs, MACsec, and EVPN/VXLAN
• Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
• Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time‑critical environment, managing multiple priorities and mission‑critical timelines

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation,…