IP Network Design Engineer, Long-Term Design & Delivery

Meta's backbone carries the traffic behind every product and, increasingly, the AI training and inference fabrics reshaping the network. The Long-Term Design & Delivery (LTD) team owns how that backbone evolves 2-3 years out: turning long-range traffic demand into the topology, designs, and technology introductions partnering with delivery orgs to execute. We're looking for a Production Network Engineer to lead IP design across our backbone domains.

Production Network Engineers at Meta are hybrid software and network engineers. While coding is a requirement for this role, the emphasis is design and de-risking at scale: defining multi-year topology plans, driving new-product introductions and migrations, and producing designs the delivery and deployment teams can build without churn.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 6 years of experience in designing and/or operating large-scale IP networks
• Deep TCP/IP, IPv4/IPv6, and BGP (plus MPLS / IS-IS or similar) — configuration, typical patterns, performance tuning
• Understanding of 400/800G Ethernet and optical transport (DWDM) as it applies to backbone links and long-haul design
• Experience with network device configuration for at least one vendor (Juniper, Cisco, Arista, etc.)
• Coding in a higher-level language (Python / C++ / Go)
• Experience collaborating with cross-functional partners, resolving technical disagreements, and driving alignment across teams without direct authority Backbone/WAN experience in the context of hyperscalers
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience introducing new network platforms and driving cross-generation migrations at scale
• 10+ years of experience designing/operating backbone or large-scale IP networks
• Experience setting technical direction for a team of 3+ engineers
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Understanding of AI workloads and the demands they place on topology
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with capacity-planning processes and physical constraints (cabling, space, power, fiber)