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
