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QdrantQD

Benchmark Engineer

Qdrant is an open-source vector database that delivers high-performance vector similarity search capabilities, catering to the evolving needs of the AI landscape.

Qdrant

Employee count: 51-200

Germany only

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Qdrant is looking for a Benchmark Engineer to design and maintain reproducible benchmarks for vector search, indexing, filtering, and distributed workloads, and to collaborate closely with core engineers to identify regressions, bottlenecks, and optimization opportunities.

Requirements

  • Design and maintain reproducible benchmarks for vector search, indexing, filtering, and distributed workloads
  • Evaluate performance across different dimensions: latency, throughput, recall, memory usage, and cost
  • Compare Qdrant against alternative solutions in a fair, transparent, and technically sound way
  • Build and maintain benchmarking tooling, datasets, and automation (CI, dashboards, reports)
  • Collaborate closely with core engineers to identify regressions, bottlenecks, and optimization opportunities
  • Help translate benchmark results into clear narratives for docs, blog posts, and talks
  • Ensure benchmarks reflect real-world user workloads, not just synthetic best cases

Benefits

  • Fully remote team with flexible working hours
  • High ownership, real impact, and technical depth
  • Opportunity to shape how the industry evaluates vector databases

About the job

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Posted on

Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

Germany +/- 0 hours

About Qdrant

Learn more about Qdrant and their company culture.

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At Qdrant, we are pioneering a new era in data management by building the most efficient, scalable, high-performance vector database available. Established in 2021, our mission arose from the need to address the challenges of managing vast amounts of unstructured data that includes images, audio, video, and text. Traditional methods of data retrieval often fall short, particularly when it comes to handling this multifaceted data landscape. Our vector database is specifically designed to efficiently manage high-dimensional data, thus enabling advanced AI applications to flourish.

Since our inception, we have been thrilled to witness tremendous growth within our community, boasting thousands of users and millions of downloads of our open-source solution. Qdrant powers an impressive range of applications across the AI sector, from innovative startups to established enterprises. We owe this success to our dedicated leadership team, encompassing CEO and co-founder Andre Zayarni, and CTO and co-founder Andrey Vasnetsov, who together strive to enhance our offerings and ensure we remain at the forefront of the technology curve. We invite you to join us in creating the future of AI with our advanced vector similarity search technology, which is built for cloud-native scalability and high availability.

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Qdrant

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Qdrant hiring Benchmark Engineer • Remote (Work from Home) | Himalayas