Research Intern; AI​/LLM Network PhD

Position: Research Intern (AI/LLM Network) - 2026 Start (PhD)
Team Introduction Byte Dance 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 Tik Tok which serve hundreds of millions of users around the globe.

Byte Dance 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 in 2026.

Internships at Byte Dance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities  internships at Byte Dance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities:

- Design, implementation and deployment of high-speed network technologies to support AI/LLM applications.

- Design and development of platforms/systems for monitoring, analysis and diagnosis of large scale AI/LLM network.

- Research and development of high-performance AI communication framework, network protocol stacks, and codesign optimization of host-network-application to improve the scalability, reliability and performance of AI/LLM network.

- Follow the latest technologies from academia and industry, identify the innovative parts of the system and present in academic papers.

Minimum Qualifications - Currently pursuing a PhD in computer networking or a related technical discipline.

- Experience with at least one of the following areas:

- Proficiency in computer network and network programming.

- Proficiency in one or several mainstream programming languages, including C/C++, Python, Go and so on.

- Be familiar with the latest advances in the area of high-speed network systems, including RDMA, congestion control, AI network optimization and so on.

- Experience in developing high performance communication frameworks(including NCCL, MPI and RPC libraries) is a plus.

- Experience in developing software systems for AI network diagnosis and performance optimization.

Preferred Qualifications - Be familiar with AI training/inference systems and software-hardware co-design.

- Having top tier networking conference publications such as NSDI,SIGCOMM,OSDI,SOSP etc. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: