Software Engineer - Graph Data Science

About Neo4j

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.

Our Vision

At Neo4j, we have always strived to help the world make sense of data.

As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.

The Role

Do you enjoy thinking about algorithms and data structures? Are you passionate about performance? Interested in graphs? Here at Neo4j, we’re building a comprehensive and high-performance platform for graph algorithms and machine learning methods to help the world make sense of data. This is an opportunity to work on cutting edge technology of machine learning and applied graph theory.

Our users want to analyze data relationships and structures to develop answers, insights and predictions about their data. You will work on products that will go directly into the hands of our customers who are using Neo4j products to identify financial crimes, perform real-time recommendation, and power knowledge graph applications.

What You'll Do

• Improve Neo4j’s Graph Data Science (GDS) platform, including its integrations in Neo4j Aura and Snowflake
• Write high-performance Java and Python code with a strong focus on usability, efficiency, and scalability
• Apply data- and benchmark-driven practices to drive decision-making and design
• Work in a highly collaborative and friendly team of skilled and motivated engineers
• Identify and integrate new areas of research that can solve our customers’ most difficult problems
• Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database
  
  

What You'll Bring

• Strong experience with JVM languages or with system programming languages, such as C, C++, Rust and willingness to learn Java
• Experience in developing software with a focus on performance and scalability
• Experience with the Python ecosystem, preferably through writing products in Python
• Creativity and motivation to drive your own ideas
• Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer
  
  

Bonus Points

• Experience in GPU programming, SIMD / vectorization or other hardware-level optimization techniques
• Experience with cloud databases, especially Snowflake
• Familiarity with graph theory
• Experience with working in a distributed / remote team
• Experience with GenAI tools and MCP servers.