Research Intern; AI Infra Compute PhD

Position: Research Intern (AI Infra Compute) - 2026 Start (PhD)
About the team:
Compute division focuses on building large-scale and highly available cloud infrastructure, which supports both public cloud products (like Volc Engine ECS service) and the internal products. The Compute-US team focuses on the development and research of the compute infrastructure platform. 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:

- Explore and develop key technologies for our AI Infra stack, including AI training and inference platforms, AI Agent infrastructure, etc.

- Build prototypes to verify the functionality and performance of key components or innovations.

- Showcase our research findings and products through academic publications.

Minimum Qualifications:

- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Familiar with Go and Python development in Linux environments.

- Experience in at least one of the following areas: LLM training, LLM inference and AI Agent.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

Preferred Qualifications:

- Code contributions to open source communities like Pytorch, vLLM or SGlang.

- Publications in relevant computer science conferences such as OSDI or MLSYS.