Job Description

About the Team
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.

ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experience in data center networking at massive scale.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities:
1. Develop software and tools to enhance automation and improve efficiency in IDC network implementation and operations, including building AI-enabled automation assistants (e.g., LLM-powered runbook execution, chat-driven tooling, and intelligent ticket/work-order automation) with appropriate safety controls and auditability.

2. Analyze network data and create software solutions by applying principles and techniques from computer science, engineering, and mathematical analysis, and leverage AI-assisted analysis (e.g., anomaly summarization, incident triage support, log/telemetry interpretation) by integrating LLMs or AI services into data pipelines and operator workflows.

3. Work closely with software development teams to plan, design and iterate network platforms, including designing and iterating AI features such as prompt flows, tool/function-calling integrations, evaluation/guardrail strategies, and feedback loops to continuously improve automation accuracy and operator experience.

annually.