Rust Programming Specialist
vor 2 Wochen
At Qdrant, we are at the forefront of developing an innovative open-source vector database that empowers developers with advanced, high-speed vector similarity search capabilities. Our primary offering is the open-source Vector Similarity Search Engine, and our mission is to deliver a scalable, economical, and open-source solution that streamlines the creation of applied-AI applications. As a rapidly expanding startup, we are in search of a skilled Rust Software Engineer to enhance our team.
Our Key Project
The centerpiece of our efforts is the Qdrant Vector Search Engine, which is open-source and crafted in Rust. We invite you to explore it on GitHub.
ResponsibilitiesWe are seeking a Rust developer to contribute to the advancement of our core project.
Among the technical challenges we face are the development of a distributed version of the engine, enhancing search and data storage efficiency, and integrating new functionalities.
Qualifications1. Expertise in Rust: A minimum of 3 years of practical experience in Rust programming.
2. Proficiency in Linux Kernel: A comprehensive understanding of the Linux Kernel, which includes:
- Memory management utilizing mmaps
- Advanced networking principles
- Familiarity with concepts such as io_uring
3. Data Structures & Performance Optimization: In-depth knowledge of data structures and optimization strategies, including a solid understanding of the benefits of B-Trees over binary trees.
4. Asynchronous Programming Knowledge: A strong understanding of asynchronous programming principles, particularly with `futures`, `tokio`, or similar frameworks.
5. Search Engine and Database Design: Experience in architecting and working with search engines and database systems, focusing on performance and scalability.
Perks- Participate in Open-Source Development: Join a vibrant team engaged in an open-source project that is shaping the future of AI.
- Fully Remote & Timezone-Aware: Benefit from the flexibility of a fully remote position, accommodating various time zones for an optimal work-life balance.
- Innovate in AI Technology: Play a key role in building a vital component of the modern AI infrastructure, influencing the trajectory of cutting-edge technology.
Interview Process:
1. Practical Task-Oriented Interview: Candidates will showcase their skills by implementing a feature for Qdrant, closely mirroring actual job responsibilities.
2. Compensated Interview Tasks: We appreciate your time and effort; candidates will receive compensation for completing interview tasks.
Application Process:
We invite interested candidates to submit their resume along with a portfolio of relevant projects. Please include a brief cover letter detailing your interest in the role and how your experience aligns with our requirements.
Qdrant is an equal opportunity employer, and we welcome applications from all qualified individuals.
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