Wireless Engineer Intern | Facebook | Menlo Park, CA

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  • United States, Menlo Park, CA View on Map
  • Post Date : November 19, 2020
  • Apply Before : December 19, 2020
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Job Description

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.

The Wireless Systems Engineering intern will be part of the Terragraph project under Facebook Connectivity. Terragraph is a high bandwidth wireless mesh network built on commodity radios operating at the 60GHz frequency spectrum. Its goal is to provide multi-gigabits of bandwidth to users in the developing and developed countries at costs much less than fiber. The intern will assist the Terragraph team working on network analysis and optimization tools that assist in the deployment and maintenance of the wireless mesh network. The Terragraph system collects data periodically, which in combination with active tests, is used to track the health of the network. The ideal candidate will have experience in data analysis, machine learning, programming, and wireless networking. The intern will assist the team in generating insights from available data, and tracking and debugging network health issues.

  • Analyze node and link stats to find patterns and correlations
  • Implement ML algorithms to track and debug node and link health issues
  • Test deployed and new services
  • Implement already-planned improvements and fixes in existing Python code

  • Is in the process of obtaining a Ph.D. in Electrical Engineering, Computer Science, or a related technical field
  • Solid knowledge of data analysis and machine learning
  • Experience with programming
  • Knowledge of wireless communication theory and wireless networking
  • Ability to obtain and maintain work authorization in the country of employment

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.
Facebook 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 [email protected]

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