Software Engineer 3, Atlas Vector Search

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About this role

Software Engineer 3, Atlas Vector Search San Francisco Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. You would get to: - Implement new features within MongoDB's $search and $vectorSearch aggregation operators - Work cross-functionally with Product teams to define new query and index syntax - Identify and address performance bottlenecks in filter queries and nearest neighbor search - Have the opportunity to lead projects and own subsystems - Perform code reviews with peers, review technical designs, and mentor junior developers Ideally you will be: - 3+ years of experience working on large-scale backend systems - Experience writing high-performance applications in Java or another JVM language - A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback - Passionate about optimization, code quality, and problem solving - Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services Success Measures - In 3 months you'll have a solid high-level understanding

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