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Benchmark Engineer

Location

Germany

Posted

86 days ago

Salary

0

Seniority

Senior

Job Description

Benchmark Engineer

Qdrant

• 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

Job Requirements

  • Strong software engineering background (Rust, Python, Go, or similar)
  • Solid understanding of databases, distributed systems, or search engines
  • Experience with performance testing, profiling, and benchmarking
  • Ability to reason about trade-offs (speed vs accuracy, memory vs latency, etc.)
  • Comfort working with large datasets and automation pipelines
  • Clear communication skills — you can explain numbers and their implications
  • Nice to Have
  • Experience with vector search, ANN algorithms, or ML infrastructure
  • Familiarity with cloud environments and containerized workloads
  • Experience contributing to open-source projects
  • Knowledge of observability tools and performance profiling

Benefits

  • Work on core infrastructure for modern AI systems
  • Open-source, engineering-driven culture
  • Fully remote team with flexible working hours
  • High ownership, real impact, and technical depth
  • Opportunity to shape how the industry evaluates vector databases

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