over 1 year ago
Base Salary
$175k - $250k/yr
Responsibilities
- Design and build core modules of Milvus and Vector Lakebase, including storage, query execution, indexing, load balancing, resource management, and distributed execution.
- Drive the evolution of the engine architecture with lake-native capabilities, elastic scaling, and large-scale multi-tenancy.
- Design database capabilities for AI and agent workloads with higher concurrency, larger scale, and lower latency.
- Own Zilliz Cloud stability and collaborate with cloud platform and product engineering teams to improve the engine based on real customer scenarios.
- Iterate on AI developer tooling to improve engineering velocity and system observability.
- Contribute to the Milvus open-source community through design documents, code, code reviews, and technical discussions.
Requirements
- 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, and resource management.
- 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.
Benefits
- Competitive compensation including cash and equity, regular bonus opportunities, and equity refresh opportunities.
- Medical, dental, and vision insurance.
- Paid time off including vacation, sick leave, and global reset and wellbeing days.
- Generous 401(k) and regional retirement plans.
Tech Stack
Categories
About Zilliz
Zilliz develops vector database software for AI applications, including the open-source Milvus project and a managed cloud service with enterprise features. Founded in 2017 and headquartered in Redwood City, California, the privately held company was started by the engineers behind Milvus and sells subscriptions, cloud usage, and support to organizations building similarity search, retrieval-augmented generation, and other unstructured-data workloads.