PhD Research Intern: AI-Native Database Systems

ByteDance; San Jose (CA); Hybrid; USD 33,000 - 50,000; Full time

Job summary

ByteDance is offering an internship in its Technology team in San Jose for PhD students focused on AI-native database systems. You will work on cutting-edge database technologies, kernels, and cloud infrastructure while collaborating with PMs and engineers across teams.

Ideal candidates are pursuing a PhD with strong skills in database kernels, distributed systems, and programming languages including C/C++, Golang, Java, and Python.

Qualifications

• Currently pursuing a PhD in Computer Science, Computer Engineering, or related fields
• Knowledge of database kernel, distributed system, query processing and optimization, multi-threaded programming
• Experience coding in C/C++, Golang, Java, Python

Responsibilities

• Develop kernel modules or features for AI-native database systems
• Solve large-scale, complex cloud infrastructure problems
• Partner with PMs and engineers on backend support for AI-native database service products
• Participate in technical discussions related to the team's product and engineering work

Skills

Database kernel

Distributed systems

Query optimization

C/C++

Golang

Java

Python

Education

PhD in Computer Science/Computer Engineering

Tools

Faiss

Milvus

DuckDB

ClickHouse

TiKV

RocksDB

Job description

ByteDance is offering an internship in its Technology team in San Jose for PhD students focused on AI-native database systems. You will work on cutting-edge database technologies, kernels, and cloud infrastructure while collaborating with PMs and engineers across teams.

Ideal candidates are pursuing a PhD with strong skills in database kernels, distributed systems, and programming languages including C/C++, Golang, Java, and Python.