About The Position

ByteDance Networking is responsible for designing, building, and operating a global, intelligent network infrastructure that meets the highest standards of availability, scalability, and performance. Within this organization, Intent Based Network (IBN) team is committed to enhancing the efficiency of network construction and operations while minimizing the risks associated with network changes. Our mission is to develop a streamlined, user-friendly, and intelligent network management platform that comprehensively supports the entire network lifecycle, including network planning, construction and deployment, change management and optimization, as well as network decommissioning. In addition, the IBN team plays a critical role in maintaining accurate and up-to-date network data, implementing automated network recovery mechanisms during fault scenarios, proactively predicting network device failures, and conducting thorough network risk assessments. By leveraging cutting-edge technologies and intelligent automation, we strive to enable more resilient, agile, and efficient network operations. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Responsibilities

  • Design and test core functionalities of the Network Operating System (NOS) that powers data center networks
  • Research and implement new networking, monitoring, and telemetry technologies to enhance the efficiency, reliability, and availability of data center infrastructure
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