About Zilliz
Zilliz is a fast-growing startup developing the industry’s leading vector database company 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.
What you will do:
- Optimize core algorithm libraries and create novel algorithms for vector preprocessing, index building, and querying.
- Analyze algorithm performance, and formulate technical plans and benchmarks for improvements.
- Participate in the development of high-performance vector indexing frameworks.
- Provide support for the optimization of popular vector indexing algorithms.
- Implement high-performance algorithms from research papers.
What we are looking for:
- Proficiency in C++ is a must.
- Embracing the engineering mentality. Experience designing and developing large-scale infrastructure software such as distributed databases or parallel data processing frameworks is required.
- Familiarity with parallel programming (e.g., OpenMP) and micro-optimization techniques.
- Strong analytical skills and trouble-shooting ability. Strong sense of responsibility and ownership.
- Experience in vector similarity search algorithms or GPU programming (e.g., CUDA) is preferred.
Benefits:
- Competitive compensation (cash + equity)
- Regular bonus and equity refresh opportunities
- Medical insurance
- Paid time off, including vacation, sick leave, and global wellbeing days
Zilliz is committed to building an inclusive and diverse workforce. We are an Equal Opportunity Employer and welcome 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.
