Cette offre d'emploi n'est plus disponible
Benchmark Engineer AI Infrastructure / Vector Search
Core Talent Finder
- New York, New York, United States
- New York, New York, United States
À propos
Location:
Remote Employment Type:
Full-time
We are recruiting on behalf of a fast-growing AI infrastructure company that develops a high-performance open-source vector database used in semantic search, recommendation systems, and RAG pipelines. We are seeking a
Benchmark Engineer
to design, build, and maintain performance benchmarks that help validate and improve large-scale AI and database systems. This role sits at the intersection of
engineering, performance optimization, and developer experience
and offers an opportunity to work on core infrastructure used in modern AI applications. About the Role
The Benchmark Engineer will own the benchmarking strategy, ensuring performance testing reflects real-world workloads and produces reliable, reproducible insights. You will collaborate closely with engineering teams to identify bottlenecks, validate improvements, and communicate performance results clearly to both technical and non-technical audiences. Key Responsibilities
Design and maintain reproducible benchmarks for: Vector search workloads Indexing and filtering performance Distributed system scenarios
Measure and analyze: Latency Throughput Recall and accuracy Memory usage and infrastructure cost
Build and maintain benchmarking tools, datasets, and automation pipelines Compare performance against alternative solutions using fair and transparent methodologies Identify regressions, bottlenecks, and optimization opportunities Translate benchmark results into clear reports, documentation, or technical content Ensure testing reflects realistic production workloads Requirements
Strong software engineering background (Python, Rust, Go, or similar) Understanding of: Databases or distributed systems Search engines or data infrastructure
Experience with: Performance testing and benchmarking Profiling tools and performance analysis Automation pipelines and large datasets
Ability to evaluate technical trade-offs such as: Speed vs accuracy Memory vs latency
Strong communication skills and ability to present technical findings Preferred Qualifications
Experience with vector search or ANN algorithms Familiarity with machine learning infrastructure or AI systems Experience with cloud environments and containerized workloads Open-source project experience Knowledge of observability and monitoring tools Whats Offered
Opportunity to work on cutting-edge AI infrastructure Fully remote work environment Collaborative engineering-driven culture High technical ownership and impact Professional development opportunities Interested?
If this role sounds like a good fit, please apply with your resume. Full client details will be shared with qualified candidates before submission.
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.