Software Engineer 3, Atlas Vector Search

MongoDB•San Francisco, CA

8h•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Experienced with Apache Lucene, vector databases, or high-throughput web services

Responsibilities

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