Zilliz is a fast-growing startup developing the industry’s leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
- AI-Native: Born for AI and Agent workloads, with native support for vector data and semantic retrieval
- Cloud-Native: Designed for elastic scaling and large-scale operation in the cloud
- Lake-Native: Built on a data-lake architecture that works naturally with data at massive scale
What you will do:
- Design and build core modules of Milvus and Vector Lakebase, including storage, query engine, indexing, load balancing, resource management, and distributed execution
- Drive the evolution of the engine architecture, bringing Lake-native capabilities, elastic scaling, and large-scale multi-tenancy into production to support the next stage of growth
- Design database capabilities for AI and Agent workloads, handling more complex access patterns, higher concurrency, larger scale, and lower latency
- Own the stability of Zilliz Cloud, working closely with cloud platform and product engineering teams to bring engine capabilities into production and using real customer scenarios to drive engine improvements
- Iterate on AI developer tooling, bringing AI into the engineering workflow to improve team velocity and system observability
- Contribute to the Milvus open-source community through design docs, code, code reviews, and technical discussions
What we are looking for:
- 3+ years of experience building database systems, distributed systems, storage engines, query engines, search systems, or large-scale data infrastructure
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
- Strong systems programming ability in one or more of C++, Go, or Rust
- Deep understanding of distributed systems and database internals, including consistency, scalability, performance, fault tolerance, query execution, storage, indexing, resource management, and engineering tradeoffs
- Strong engineering taste: the ability to judge what design is simpler, what abstraction will last, and which performance and cost tradeoffs actually matter
- Experience with large-scale cloud-native databases, storage systems, search systems, or data platforms is a strong plus; open-source contributions in databases, storage, search, Kubernetes, or distributed systems are a strong plus
How we operate:
- Deep systems engineering: We care about correctness, performance, simplicity, and long-term architecture, not just shipping features
- AI-accelerated engineering: We use AI to assist with coding, testing, documentation, and design drafts, but human engineering taste matters more: deciding what's worth building, what design is simpler, and what abstraction will last
- High growth, fast pace: We move fast at this stage and value ownership, fast learning, and the drive to take on hard problems. This team suits engineers who want a steep growth curve and rapid leveling-up
- Fast and pragmatic: We work on hard database problems, but we ship them into real products used by real customers
Benefits:
- Competitive compensation (cash + equity)
- Regular bonus and equity refresh opportunities
- Medical, dental, and vision insurance
- Paid time off, including vacation, sick leave, and global reset/wellbeing days
- Generous 401(k) and regional retirement plans
Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
Skills Required
- 4+ years of experience in developing database systems
- Active contributor to infrastructure software
- Bachelor's degree in computer science or software engineering
What We Do
Zilliz is a leading vector database company for production-ready AI. Built by the engineers who created Milvus, the world's most popular open-source vector database, Zilliz is on a mission to unleash data insights with AI. The company builds next-generation database technologies to help organizations rapidly create AI/ML applications, and unlock the potential of unstructured data. By taking the burden of complex data infrastructure management off of its users, Zilliz is committed to bringing the power of AI to every corporation, every organization, and every individual. Headquartered in San Francisco, Zilliz is backed by a number of prestigious investors, including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners and others. Zilliz's technologies and products help over 1000 organizations worldwide easily create AI applications in various scenarios, including computer vision, image retrieval, video analysis, NLP, recommendation engines, targeted ads, customized search, smart chatbots, fraud detection, network security, new drug discovery, and much more. Learn more at zilliz.com or follow @zilliz_universe.
