We are developing Qdrant, an open-source technology that enables developers to use cutting-edge, blazing-fast vector similarity search. Our flagship product is the open-source Vector Similarity Search Engine: https://github.com/qdrant/qdrant. Our mission is to provide a scalable, cost-effective, open-source solution that simplifies the development of applied-AI applications. We are a fast-growing startup, and we are looking for a Rust Software Engineer to join our team.
Our Projects
Our main project is the Vector Search Engine Qdrant. It is open-source and written in Rust 🦀. Check it out on GitHub.
Tasks
We are looking for a Rust developer to help us with the development of our core project.
Among the technical challenges, we facing are: low level optimizations, implementation of a new versions of indexing algorithms, GPU computing, and distributed deployment.
Requirements
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Rust Expertise: Minimum of 3 years of hands-on experience in Rust programming.
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Linux Kernel Proficiency: A deep understanding of the Linux Kernel, including:
- Memory management with
mmaps - Advanced networking concepts
- Understanding of concepts like
io_uring
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Data Structures & Optimization: Expert knowledge in data structures and optimization techniques, e.g. a clear understanding of the advantages of B-Trees over binary trees.
-
Asynchronous Programming Skills: Good grasp of asynchronous programming concepts, particularly with
futures,tokio, or similar frameworks. -
Search Engine and Database Architecture: Experience in designing and working with the architecture of search engines and database systems, emphasizing performance and scalability.
Nice to have:
- experience with GPU programming (shaders, CUDA, e.t.c.)
- experinece with SIMD
- experience with kernel-level development or eBPF
Benefits
Engage in Open-Source Development: Be part of a dynamic team working on an open-source project that shapes the future of AI.
Fully Remote & Timezone-Friendly: Enjoy the flexibility of a full-remote position, accommodating diverse time zones for optimal work-life balance.
Innovate in AI Technology: Contribute to building a critical component of the modern AI stack, influencing the direction of cutting-edge technology.