Software Engineer / Researcher, AI-Native database systems

What you'll do

• Design and implement AI-native databases, storage engines, and low-latency distributed vector search.
• Develop LLM-augmented query processors and infrastructure for RAG and AI-agent memory.
• Advance learned indexes, self-optimizing databases, and AI-integrated transaction systems; contribute to research and open source.

What they ask for

• Bachelor’s, Master’s, or Ph.D. in Computer Science or a related field, with strong systems or AI research experience.
• 2+ years in core database systems, large-scale distributed infrastructure, or machine learning systems.
• Strong coding and system-level design skills in C++ / Rust / Go.
• Deep expertise in at least one listed area: database storage engines, vector retrieval, AI/model-serving infrastructure, or semantic search and agent memory systems.

Nice to have

• Experience with Faiss, Milvus, DuckDB, ClickHouse, TiKV, or RocksDB; publications at relevant conferences.
• Familiarity with GCP, AWS, or Azure database and AI integration; contributions to RAG, memory-augmented models, or self-tuning databases.

Tools

C++, Rust, Go, Faiss, Milvus, DuckDB, ClickHouse, TiKV

AI focus

Build AI-native databases and systems for vector retrieval, LLM-augmented queries, RAG, AI-agent memory, and AI workloads.