Facebook Network Modeling and Optimization Engineer in Menlo Park, California
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Facebook's global network comprised of cutting-edge platforms, is looking for a Network Modeling and Optimization Engineer to join the backbone and edge engineering team. This team is responsible for designing, implementing and supporting one of the world’s largest and complex networks. As a Network Modeling and Optimization Engineer, you will have a unique opportunity to influence optical and IP Architectures, strategic network acquisitions, network design, deployment, and operations to shape the future network to accommodate hyper-exponential growth as well as internal product requirements. This position is full-time and located in our Menlo Park office.
Work with various teams to understand Facebook's network, user base, performance constraints, and growth requirements.
Create modeling framework for various networking problems such as cross-layer optimization under constraints such as latency/availability, demand uncertainty, risk assessment, and data center optimization.
Data analysis from a large number of data sources to create a network strategy for capacities, location and facilities.
Work with procurement and other teams to devise strategies on hardware and network acquisitions around the globe.
Own the design, development, testing, and tuning of future capacity and topology models.
Experience using concepts of operations research, stochastic optimization, machine learning, queuing theory, probability theory to construct models for solving network optimization problems.
Experience creating formulation using commercial mathematical optimization software like: Xpress, Gurobi, CPLEX, etc.
Knowledge of Python, C++ or other programming languages coupled with experience creating models for network optimization.
Experience with large data sets and distributed computing (Hive/Hadoop).
Understanding of statistical analysis, experience with packages, such as R, SciPy, NumPy etc.
Equal Opportunity: Facebook is proud to be an Equal 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. If you need assistance or an accommodation due to a disability, you may contact us at firstname.lastname@example.org or you may call us at +1 650-308-7837.