• Optimize core algorithm libraries and create novel algorithms for vector preprocessing, index building, and querying.
• Analyze algorithm performance, and formulate technical plans and benchmarks for improvements.
• Participate in the development of high-performance vector indexing frameworks.
• Provide support for the optimization of popular vector indexing algorithms.
• Implement high-performance algorithms from research papers.

• Proficiency in C++ is a must.
• Embracing the engineering mentality. Experience designing and developing large-scale infrastructure software such as distributed databases or parallel data processing frameworks is required.
• Familiarity with parallel programming (e.g., OpenMP) and micro-optimization techniques.
• Strong analytical skills and trouble-shooting ability. Strong sense of responsibility and ownership.
• Experience in vector similarity search algorithms or GPU programming (e.g., CUDA) is preferred.

Benefits:

• Competitive compensation (cash + equity)
• Regular bonus and equity refresh opportunities
• Medical insurance
• Paid time off, including vacation, sick leave, and global wellbeing days