Network Engineer, Engineering R&D Environments

Meta Careers; Ashburn, Northern (VA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Meta Careers in Ashburn, VA is seeking a Network Engineer to build and scale the network infrastructure for Meta's global lab footprint, collaborating with compute and AI teams.

You will own design, deployment, and operations for AI and compute lab clusters, support lab lifecycle activities, and contribute to automation and ZTP workflows.

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

Job description

# Network Engineer, Engineering R&D EnvironmentsAshburn, VA+2 locationsData Center Strategy+ 6 moreApply nowMeta'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.---## Network Engineer, Engineering R&D Environments 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