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).
Requirements
- 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.
- Code contributions to open source communities like Pytorch, vLLM or SGlang.
- Publications in relevant computer science conferences such as OSDI or MLSYS.
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.
Other
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- 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.
- Please state your availability clearly in your resume (Start date, End date).
