About the Team:
The Global Traffic Architecture (GTA) team at ByteDance designs, builds, and operates large-scale, multi-cloud network services that accelerate and optimize traffic for TikTok and a broad portfolio of ByteDance internal applications. Our platform delivers core capabilities including L4/L7 load balancing, L4/L7 traffic acceleration, global ingress, and forward proxy. Joining GTA means partnering with a world-class team to build TikTok-scale network infrastructure that serves billions of users worldwide.
To further support ByteDance's continued global growth, the GTA team is looking for interns to contribute to our multi-cloud, cloud-native traffic architecture.
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:
- Design and develop core traffic software (L4/L7 load balancers, caching) on our traffic platform to process terabyte-scale data in real time.
- Build data pipelines and telemetry systems that enable data-driven traffic control.
- Develop API acceleration and other networking services on top of our multi-cloud traffic platform.
- Troubleshoot production issues and drive performance tuning for online traffic.
- Research emerging technologies to make traffic processing more efficient and scalable.
- Build platform capabilities-control plane, self-service APIs, developer tooling, and supporting infrastructure-that power the Global Traffic Architecture.
- Develop AI-powered engineering productivity tools and agents (LLM-based assistants, workflow automation, and operations copilots) to accelerate development, diagnosis, and operations across the traffic platform.Minimum Qualifications:
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline.
- Proficiency in developing systems in one or more of Python, Go, Rust, C, or C++, with strong hands-on experience in Linux environments.
- Solid understanding of core network protocols, including TCP/IP, HTTP/HTTPS, and DNS.
- Familiarity with AI/LLM application development, including areas such as prompt engineering, retrieval-augmented generation (RAG), or the design of AI-assisted developer tools.
Preferred Qualifications:
- Experience in AI Agent development, such as building LLM-powered agents, tool use, multi-agent systems, or agent frameworks.
- Experience developing proxy software such as Nginx or Envoy.
- Experience with modern network protocols such as HTTP/2, HTTP/3 (QUIC), and TLS 1.3.