Software Engineer 3, Atlas Vector Search

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 of what our team does and how we operate

• You'll have contributed to the development of an existing project and completed several small improvements or bug fixes

• In 6 months you'll be reviewing code

Department: Atlas Search