Senior Software Engineer

Responsibilities

• Architect and implement AI-native databases integrating structured, unstructured, and vectorized data.
• Design storage engines for embedding ingestion, multimodal retrieval, and real-time AI interaction.
• Build scalable distributed vector search systems with low-latency guarantees.
• Develop LLM-augmented query processors for semantic parsing, intent understanding, and cost estimation.
• Develop RAG infrastructure and memory backends for LLM agents.
• Advance learned index structures, self-optimizing databases, and AI-integrated transaction systems.
• Publish research and contribute to open-source communities.
• Collaborate across research, engineering, and product teams to bring ideas into production systems.

Requirements

• Bachelor’s, master’s, or Ph.D. in computer science or a related field with strong systems or AI research experience.
• At least 2 years of experience in core database systems, large-scale distributed infrastructure, or machine learning systems.
• Strong coding and system-level design skills in C++, Rust, or Go.
• Deep expertise in storage engine architecture, vector retrieval and ANN indexing, AI or model-serving infrastructure, semantic search, agent systems, or AI-native memory frameworks.
• Ability to collaborate across research, engineering, and product teams.
• Preferred experience with Faiss, Milvus, DuckDB, ClickHouse, TiKV, or RocksDB.
• Preferred publications at conferences such as SIGMOD, VLDB, NeurIPS, MLSys, or ICDE.
• Familiarity with GCP, AWS, or Azure database and AI integration strategies.
• Prior contributions to RAG, memory-augmented models, or self-tuning database components are preferred.