Rust Systems Engineer
vor 4 Wochen
At Qdrant, we are on a mission to create an 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, aimed at delivering a scalable and cost-efficient solution that facilitates the development of applied-AI applications. As a rapidly expanding startup, we are seeking a skilled Rust Software Engineer to join our innovative team.
Our Core Project
Our flagship initiative is the Qdrant Vector Search Engine, which is open-source and developed in Rust. We invite you to explore our project on GitHub.
Key ResponsibilitiesWe are in search of a Rust developer to contribute to the advancement of our primary project.
Some of the technical challenges we are tackling include the creation of a distributed version of the engine, enhancing search and data storage efficiency, and integrating new functionalities.
Qualifications1. Proficiency in Rust: A minimum of 3 years of practical experience in Rust programming.
2. Linux Kernel Knowledge: A comprehensive understanding of the Linux Kernel, including:
- Memory management utilizing mmaps
- Advanced networking principles
- Familiarity with concepts such as io_uring
3. Expertise in Data Structures & Optimization: In-depth knowledge of data structures and optimization strategies, with a clear grasp of the benefits of B-Trees compared to binary trees.
4. Asynchronous Programming Experience: Strong understanding of asynchronous programming concepts, 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.
What We Offer- Participate in Open-Source Development: Join a vibrant team working on 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 a balanced work-life experience.
- Innovate in AI Technology: Play a crucial role in developing a key 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 real job responsibilities.
2. Compensated Interview Tasks: We appreciate your time and effort; candidates will receive compensation for completing interview tasks.
Application Process:
We encourage 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 committed to equal opportunity employment and welcomes applications from all qualified individuals.
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