You will join the core Redis search team to extend our Vector and Search offering. You will take part of the entire development cycle from research to design, implementation, and release to production.
You will work on complex problems related to indexing and querying, at the largest scale, influencing millions of developers worldwide.
This is a unique opportunity to extend Redis capabilities to the AI age early in the cycle.
What youll do:
Research, design, and implement state-of-the-art algorithms for Redis vector search
Optimize core algorithms for speed and resource consumption
Investigate complex real-world issues at Internet scale
Implement hardware-specific optimizations (e.g.: SIMD, SSD, GPU, CUDA)
Collaborate across teams. Work closely with the broader engineer team, Support, DevOps, leading the fastest NoSQL databases in the world
Requirements: Experience with designing and developing database, storage, or high-performance distributed systems
At least 5 years of experience with AI, indexing/querying, big data, distributed systems, or storage systems
Proficiency in at least one system language (C, C++, Rust, etc)
Self-directed, ambitious, and eager to learn new skills and technologies
Bachelors or Masters Degree in Computer Science or Related Field
Extra great if you have:
Experience with high-performance multithreaded code
Experience with Redis
Object Oriented expertise
Read research papers for fun
This position is open to all candidates.