Software Engineer Intern

Team Introduction The Traffic Infrastructure Global Engineering (TIGE)-Traffic Platform team at ByteDance builds and operates multi-cloud based large scale network services around the world that we use to accelerate and optimize network traffic for Tiktok and a variety of application services for ByteDance internal customers, which include but are not limited to layer 4/7 loadbalancing, layer 4/7 acceleration, global ingress, forwarding proxy etc. By joining us, you can work within a brilliant team and learn how to build Tiktok scale network traffic platform which serves billions of users globally. 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. Watch your ambitions become 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. 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 as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Responsibilities - Build and enhance AI oncall agents to automate diagnostics, anomaly detection, and root cause analysis. - Prototype multi-agent collaboration workflows that can coordinate across different infrastructure domains. - Design and codify processes and playbooks for global teams, evolving them into automated workflows. - Analyze incident and operational data to identify recurring patterns and opportunities for AI-driven automation. - Document findings and present outcomes to cross-functional engineering and product teams. Minimum Qualifications: - Currently pursuing a Master’s or advanced undergraduate degree in Computer Science, Electrical/Computer Engineering, or related field. - Strong programming skills in Python, Golang, or similar languages. - Must be able to commit to a 12-week full-time work period during Summer 2026. Preferred Qualifications: - Familiarity with AI/ML frameworks (e.g., LangChain, RAG systems, or multi-agent orchestration) is a plus. - Understanding of distributed systems, networking, or observability concepts. - Analytical mindset with a passion for simplifying complex system operations. - Strong written and verbal communication skills.