Research Scientist Graduate (Compute Platform - Database Acceleration)- 2026 Start (PhD)
Core
Design and develop kernel modules for cloud-native distributed analytical database systems to achieve best-in-class query latency and hardware utilization.
Role type
Research Scientist (Database Kernel & Acceleration)
Builds
Next-generation DBMS kernel and distributed OLAP infrastructure
Domain
Big data infrastructure, cloud-native data warehouse, database systems
Deliverable
production ML models | product features
Required skills
System programming (C++, Rust), Database kernel development, Query processing, Cloud infrastructure design, Research methodology
Preferred skills
OLAP database experience, Query optimization, Storage system design, Hardware acceleration, Open-source contributions
Technologies
Velox, DataFusion, DuckDB, Polars, Clickhouse, Spark, Presto
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; 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
Seniority
Graduate (PhD), Research Scientist
