Network Planner, Network Infrastructure

**Summary:** Every day we strive to provide the best possible experience to our users who are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity backbone network that spans the globe. We are looking for a network planner to join our backbone team to support the expansion of our global network. This is an ideal role for a Network Planner that wants to work on a purpose-built and ever-expanding backbone network that touches and changes the lives of billions of people for the better every day. **Required Skills:** Network Planner, Network Infrastructure Responsibilities: 1. Analyze traffic capacity projections and develop an optical transport network capacity plan accordingly 2. Partner with Software Engineering & Product Engineering teams to develop capacity planning models and optimization simulations for network infrastructure 3. Partner with Network Engineering teams to establish new design standards and build them into production 4. Follow the developments of IP or Optical technology roadmaps and capabilities 5. Network design, accounting for technological capabilities and network routing, to ensure scaling requirements and resiliency for the network are met 6. Model ad-hoc, what-if scenarios, including greenfield and brownfield demand and supply scenarios to set strategy 7. Investigate collections of network failure and routing behaviors, and create simulation tests to improve network efficiency and network reliability metrics 8. Oversee fiber topology evolution of the backbone to achieve resiliency, and latency requirements 9. Work with engineering, finance, and sourcing to support backbone fiber acquisitions strategies **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 3+ years of experience in network planning in high capacity, mission critical environment 12. Experience with designing IP, Optical or Fiber networks and knowledge of current technology 13. Knowledge of network topology and experience in building resiliency design 14. 2+ years of experience with network modeling tools such as NPS, One Planner, Opnet, Cariden, WAE, Aria, WANDL or other in-house tool 15. Programming experience in Python or a similar language 16. BS or MS Degree in an Engineering or Analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science) or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 17. Experience with both terrestrial and submarine networks is desirable 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 21. Experience modeling and analyzing a business case for network expansion or fiber acquisition 22. Production transport network design **Public Compensation:** $154,000/year to $217,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.