Software Development Engineer Graduate

Team Introduction ByteDance Networking brings together innovative ideas and technologies from network architecture, software defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. We are looking for candidates with strong networking background and solid software development skills, who have a deep understanding in routing protocols and/or can utilize container techniques in emulating production networks to help operators maintain Bytedance's networking infrastructure safely and confidently. Responsibilities - Build software control systems to manage the network resources, especially the long haul bandwidth; - Build host/gateway end-side network traffic monitoring, analysis and control capabilities; - Working with network operation and planning teams to support bandwidth and performance requirements for upper-layer computing, storage, recommendation and other businesses, and provide fault analysis and resolving capabilities. Minimum Qualifications - Current year or recent PhD graduate with a background in computer science, network engineering or a related field; - Proficiency in at least one programming language, such as Go, C++, or Python, with a strong foundation in designing and developing distributed systems; - In-depth understanding of networking protocols and the TCP/IP stack; - Practical or research experience in the areas of bandwidth management or distributed rate limiting systems/algorithms will be considered particularly favorable. Preferred Qualifications - In-depth understanding of networking protocols and the TCP/IP stack; familiarity with Linux operating systems and networking functionalities is highly advantageous. - Practical or research experience in the areas of bandwidth management or distributed rate limiting systems/algorithms will be considered particularly favorable. #LI-Onsite