Software Engineer Intern

Team Introduction: The TIGE (Traffic Infrastructure Global Engineering) team serves as the world's premier edge cloud computing and CDN service, offering enterprise users with Content Delivery Network, Edge AI, Edge Security, Edge Computing services, and Traffic Platform services. Our team is responsible for developing and managing edge cloud, CDN and traffic technologies to support billion users and ensure performance, compliance, security and cost efficiency. In line with our commitment to excellence, we are looking for talented individuals to join us for an internship in 2025. 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. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Bytedance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis . We encourage you to apply early. Responsibilities： As a Software Engineer Intern, your role encompasses three key areas.​ 1. In the research and exploration phase, you'll study the FusionCDN system's traffic scheduling mechanisms, IPT cost model, and operational constraints. You'll also conduct a literature review on CDN - related optimization strategies and work with the team to define project objectives, constraints, and key performance indicators. This involves identifying challenges like high costs during peak periods and devising strategies to maximize free bandwidth.​ 2. The data collection and analysis phase is crucial. You'll gather historical traffic data to identify peak periods and patterns, and build a simplified cost model for IPT charges. By analyzing traffic characteristics and running simulations on different traffic distribution scenarios, you'll gain insights that will inform the subsequent design work.​ 3. In the traffic scheduling framework design and implementation phase, you'll design and implement an algorithm to redistribute traffic during peak periods, making the most of the free bandwidth without exceeding the limit. You'll then test and validate the solution in a controlled environment, evaluating its cost - savings, service quality, and scalability. This includes comparing IPT costs before and after implementation and assessing metrics like latency and throughput. Minimum Qualifications： - Currently enrolled in a Bachelor/Master program in Computer Science, Electrical Engineering, or related fields. - Strong background in networking, CDN systems, and traffic optimization. Preferred Qualifications： - Experience with programming languages like Go, Python, or similar. - Knowledge of algorithm development, cost modeling, and real-time systems is a plus.