Network Engineer, Engineering R&D Environments

Meta's Network and Infrastructure Services (NIS) team is actively looking for a network engineer to help us build out infrastructure which gives people the power to build community and bring the world closer together. 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 GenAI, we have entered in a new era of unprecedented opportunities to re-think traditional networking and iterate quickly in our environment.

This role offers a unique career opportunity to work directly with engineering teams maturing new hardware and software on the path to production.

• Own end-to-end Frontend (FE) and Backend (BE) 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 FBOSS-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 execution
• 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 (~10%) for critical lab builds, migrations, or escalations

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
• Demonstrated expertise in IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACSEC and EVPN/VXLAN
• Hands-on experience with backend cluster networking, including scale-out fabrics, RDMA networks, and congestion management
• Experience working in multi-vendor environments, including Arista, FBOSS-based platforms, and lab networking hardware
• Experience gathering requirements and developing network architectures for engineering lab build-outs
• Experience with config management, code repositories, and ZTP for network infrastructure
• Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
• Demonstrated experience to operate consistently 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 with network automation, CI/CD pipelines, audit frameworks, and validation tooling
• Experience supporting AI/ML or high-performance compute clusters in lab or pre-production environments
• Hands-on experience with lab test equipment, optics qualification (e.g., 400G/800G), optical switches and physical infrastructure
• Experience with PoE, AC/DC power, fiber, and copper cabling
• Understanding of physical infrastructure design, including structured cabling, space, power, and cooling
• Experience with Networking certifications such as CCIE, JNCIE or equivalent
• Hands-on experience with disaggregated networking products and software, such as FBOSS, SONiC, Cumulus Linux, or equivalent open networking platforms
• Experience in a coding/scripting languages such as…