Research Scientist Intern (Distributed NoSQL Database Systems) - 2027 Start (PhD)

What you'll do

• Develop kernel modules or features for AI-native database systems.
• Solve large-scale cloud infrastructure problems and collaborate with product managers and engineers on backend support for 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 discipline.
• 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

• Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, or RocksDB; publications at conferences such as SIGMOD, VLDB, NeurIPS, MLSys, or ICDE.
• Familiarity with GCP, AWS, or Azure database and AI integration strategies; contributions to RAG, memory-augmented models, or self-tuning database components.

Tools

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

AI focus

Builds AI-native database systems, including kernel features and backend support; preferred related work includes RAG, memory-augmented models, and self-tuning database components.