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# Software Development Engineer - Amazon OpenSearch, VectorSearch, OpenSearch

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Code Review, Computer Programming, Software Design Patterns, Open Source Technology, Search Technologies, Software Engineering, Storage Technologies, Information Technology, Build Process, Software Coding, Software Version Control, Programming Languages
- **Published:** August 5, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10492148/software-development-engineer-amazon-opensearch-vectorsearch-opensearch

## About the Role

3+ years of non-internship professional software development experience

 - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
 - Experience programming with at least one software programming language

Preferred Qualifications

 - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 - Bachelor's degree in computer science or equivalent

## Description

Design and implement high-performance vector search algorithms (HNSW, cluster-based ANN, hybrid approaches) for billion-scale datasets

 - Develop and optimize GPU-accelerated vector indexing and search capabilities
 - Build and enhance the k-NN plugin for OpenSearch, including support for new distance metrics, quantization techniques, and memory-efficient graph structures
 - Contribute to tiered storage architecture for vector data across hot/warm/cold tiers to improve cost efficiency
Implement memory-optimized approaches such as MMAP-based graph loading and partial graph loading to reduce working set size

 - Collaborate with applied scientists on novel algorithmic approaches to vector search optimization
 - Participate in open-source community contributions, code reviews, and technical design discussions


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