Full Job Description
Responsibilities - Architect and implement AI-native databases that seamlessly integrate structured, unstructured, and vectorized data. - Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction. - Build scalable and distributed vector search systems with low-latency guarantees. - Develop AI-augmented query processors that leverage large language models (LLMs) for semantic parsing, intent understanding, and cost estimation. - Collaborate on developing retrieval-augmented generation (RAG) infrastructure and LLM agent memory backends. - Drive innovations in learned index structures, self-optimizing databases, and AI-integrated transaction systems. - Publish and contribute to broader research and open-source communities.
Qualification
Minimum Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science or related fields 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 one or more of the following areas: Storage engine architecture (LSM-trees, column stores, HTAP systems) / Vector retrieval systems, similarity search, and ANN indexing / AI infra or model-serving infrastructure (especially for embeddings / RAG / LLMs) / Semantic search, agent systems, or AI-native memory frameworks - Ability to collaborate across research, engineering, and product teams to translate ideas into production systems. Preferred Qualifications: - Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, RocksDB. - Publications at accredited conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE). - Familiarity with GCP, AWS, or Azure's database and AI integration strategies. - Prior contributions to RAG, memory-augmented models, or self-tuning database components.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $218400 - $480000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
