Senior Engineer – Vector Database

About Aerospike

Aerospike Database is the leading Key-Value Database for applications that require speed at scale. We solve some of the most challenging problems for the largest customers on the planet. we've assembled a global team that combines practical expertise in building high-performance products using distributed systems engineering

We at Aerospike built our company around mission driven engineering. We're here for the long haul. Continually improving Aerospike takes time, energy, and the hard work of many people. Our business model allows us to continue to innovate in systems and data structures, to provide high grade support, and be here to help when our customers and users need it.

Job Summary

We are looking for a Senior Engineer to work on our upcoming Vector Database. Vector databases aid in semantic search, natural language processing (NLP) and enable LLMs (Large Language Models) to provide better responses for generative AI applications. 

 

As a part of our core vector database engineering team you will work on one or more of the following  areas

• innovative algorithms and indices to perform distributed vector similarity search 
• distributed computing architecture for a high performance vector database
• using hardware for acceleration and optimization of vector computations

 

Required Skills

• 5+ years of experience
• Strong skills in any programming language like Java/Golang/Rust or C
• Strong foundation in designing and building high performance systems preferably database and/or distributed systems

 

Bonus Skills

• Worked with Vector Databases
• Worked with distributed NoSQL databases
• Worked with or knowledge of AI/ML pipelines at scale

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.