Research Intern (AI-Native Databases) - 2027 Start (PhD)

What you'll do

• Develop kernel modules or features for AI-native database systems.
• Solve complex, large-scale cloud infrastructure problems and collaborate on backend support for AI-native database services.
• Participate in technical discussions about the team’s 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.
• Coding experience in C/C++, Golang, Java, or Python.

Nice to have

• Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, or RocksDB; or contributions to RAG, memory-augmented models, or self-tuning database components.
• Relevant software engineering experience, top-tier conference publications, or familiarity with GCP, AWS, or Azure database and AI integration strategies.

Tools

C/C++, Golang, Java, Python, Faiss, Milvus, DuckDB, ClickHouse

AI focus

Build AI-native database systems for AI workloads, including database kernels and backend services; preferred related work includes RAG, memory-augmented models, and self-tuning database components.