ByteDance
Research Intern (AI-Native Databases) - 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD degree in Computer Science, Computer Engineering, or other related fields.
About the job
Develop database kernel features and backend infrastructure for AI-native database systems and services.
What you'll do
- Develop kernel modules or features for AI-native database systems.
- Solve large-scale cloud infrastructure problems and partner across teams to build backend support for AI-native database services.
- Participate in technical discussions about product and engineering work.
What they ask for
- Currently pursuing a PhD in Computer Science, Computer Engineering, or a related field.
- Knowledge of database kernels, distributed systems, query processing and optimization, and multithreaded programming.
- Experience coding in C/C++, Golang, Java, or Python.
Nice to have
- Software engineering experience, publications, or coding competition experience; experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, or RocksDB.
- Familiarity with cloud database and AI integration strategies, or prior contributions to RAG, memory-augmented models, or self-tuning database components.
Tools
C/C++, Golang, Java, Python, Faiss, Milvus, DuckDB, ClickHouse
AI focus
Build AI-native database systems and infrastructure for AI workloads, including systems supporting AI agents; preferred related work includes RAG, memory-augmented models, and self-tuning database components.
Model-written summary · the original posting is authoritative