
Qdrant is an open-source vector search engine built in Rust that delivers a high-performance API for nearest-neighbor search in high-dimensional spaces. It enables developers to transform embeddings and neural-network encoders into scalable applications for matching, searching, and recommendation. By combining a lightweight, GPU-accelerated engine with a flexible schema, Qdrant achieves sub-millisecond latency and high-throughput for AI workloads. The company focuses on deep-tech solutions for AI, machine learning, and vector databases, positioning itself as a key enabler for next-generation AI products. Qdrant's commitment to open source and developer-friendly tooling makes it an attractive partner for teams building data-centric AI services.
Qdrant is a cutting-edge vector database company looking for a Senior Software Engineer to build infrastructure for Qdrant Cloud, a mission-critical platform for AI workloads. The role involves building internal tools, automation, and platform components using Go and Python, and designing systems for cluster provisioning and infrastructure automation. The ideal candidate has 5+ years of experience in SRE, platform engineering, or infrastructure software engineering, with strong programming skills, experience building automation or tooling for cloud infrastructure, and hands-on experience operating Kubernetes in production.
Qdrant is an open-source vector search engine built in Rust that delivers a high-performance API for nearest-neighbor search in high-dimensional spaces. It enables developers to transform embeddings and neural-network encoders into scalable applications for matching, searching, and recommendation. By combining a lightweight, GPU-accelerated engine with a flexible schema, Qdrant achieves sub-millisecond latency and high-throughput for AI workloads. The company focuses on deep-tech solutions for AI, machine learning, and vector databases, positioning itself as a key enabler for next-generation AI products. Qdrant's commitment to open source and developer-friendly tooling makes it an attractive partner for teams building data-centric AI services.