AI-Native Database Systems Intern

ByteDance

Seattle (WA)

On-site

USD 30,000 - 40,000

Part time

14 days+
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Job summary

ByteDance in Seattle is offering an internship with the Infrastructure team to explore AI-native database systems. You will help develop kernel modules and features, work on large-scale cloud infrastructure challenges, and collaborate with PMs and engineers across teams to build backend support for AI-native database services.

This internship provides practical, hands-on experience, exposure to cutting-edge database tech, mentorship, and opportunities to participate in technical discussions and

Qualifications

  • Currently pursuing an Undergraduate/ Master’s in Computer Science, Computer Engineering, or related discipline.
  • Knowledge of database kernel, distributed systems, 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 unique, large-scale, highly complex cloud infrastructure problems.
  • Partner with PMs and engineers from different teams on building backend support for AI-native database service products.
  • Participate in technical discussions related to team's product and engineering work.

Skills

Database kernel
Distributed systems
Query processing
Optimization
Multi-threaded programming
C/C++
Golang
Java
Python

Education

Undergraduate/ Master’s in Computer Science or related

Tools

Faiss
Milvus
DuckDB
ClickHouse
TiKV
RocksDB

Job description

ByteDance in Seattle is offering an internship with the Infrastructure team to explore AI-native database systems. You will help develop kernel modules and features, work on large-scale cloud infrastructure challenges, and collaborate with PMs and engineers across teams to build backend support for AI-native database services.

This internship provides practical, hands-on experience, exposure to cutting-edge database tech, mentorship, and opportunities to participate in technical discussions and

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