PostgreSQL 资深数据库架构师（J100946）
Core
Design and optimize PostgreSQL kernel-level features and storage layers specifically for AI/ML workloads including vector retrieval, batch inference, and real-time feature storage.
Role type
Senior IC PostgreSQL kernel engineer (AI/ML focus)
Builds
Next-generation cloud-native PostgreSQL architecture with compute-storage separation, branching capabilities, and AI-ready services.
Domain
Cloud-native databases, AI/ML infrastructure, Vector databases
Deliverable
production ML models
Required skills
PostgreSQL kernel development, C/Rust programming, Vector database principles (HNSW, IVFFlat), Cloud-native architecture (Serverless, K8s Operator), AI/ML data pipeline engineering, System performance tuning at scale (Million QPS/PB data), Linux I/O stack (eBPF, io_uring, RDMA)
Preferred skills
Neon architecture replication, Open-source vector database contributions, AI framework integration (LangChain/LlamaIndex), Serverless platform scheduling experience
Technologies
PostgreSQL (v12+), pgvector, Kubernetes, eBPF, S3, AWS Lambda, Alibaba Cloud FC
Responsibilities
Lead kernel-level feature design and optimization for AI/ML workloads; Integrate and tune vector plugins like pgvector and lantern; Design compute-storage separation architecture for elastic scaling; Implement database branching for instant cloning; Build object storage-based persistence layers; Enable in-database ML and UDF extensions; Optimize high availability and AIOps for autonomous operations; Track and contribute to emerging PG ecosystem technologies.
Seniority
Senior, hands-on IC
