ByteDance

Responsibilities

About the Team

ByteDance Data Infrastructure Storage team is re-architecting HDFS using C++ to enhance its performance and scalability, positioning it as a core infrastructure component for big data storage. As a Distributed Storage System Software Engineer Intern, you will contribute to developing large-scale, high-performance storage systems that support critical business needs across Data Platforms, Advertising, Machine Learning, and Large Language Models (LLMs). If you have a solid technical foundation in distributed storage systems and experience building large-scale storage solutions, we’d love to hear from you!

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at ByteDance 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.

Qualifications

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.

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