Research Scientist Graduate (Compute Platform - Database Acceleration) - 2026 Start (PhD)

Responsibilities

• Design and develop kernel modules or core features for cloud-native distributed analytical database systems
• Conduct research for cutting-edge technology evolvement in database and data management area and identify the potential future directions
• Solve unique and complex problems on large-scale, high-performance cloud infrastructure
• Partner with different teams on building backend support for cloud native database service

Qualifications

• Minimum Qualifications: Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience with at least one system programming language: C++, Rust etc.
• Preferred Qualifications: Research or deep working experience in OLAP databases and data management systems is preferred, including but not limited to database kernel, query processing, query optimization, storage system, hardware acceleration, cloud native infrastructure, etc.
• Experience with open-source and industry databases and data management systems like Velox, DataFusion, DuckDB, Polars, Clickhouse, Spark, Presto etc is a plus
• Passionate & experienced for contributing to open source communities
• High levels of creativity and quick problem-solving capabilities

About the Role

The Data Platform team works on challenges in big data infrastructure and data products. Our team focuses on internal tools relating to OLAP DBMS, logging and data ingestion infrastructure, A/B testing for all product and feature launches, workflow management, distributed cache, data visualization tools, and big data engineering, which supports TikTok's business products.

Skills

Not specified

Benefits

Not specified

Pay

Compensation Description (Annually): The base salary range for this position in the selected city is $156000 - $387600 annually. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.

Schedule

Not specified