Vector database for enterprise-grade AI
database • artificialintelligence • datascience • unstructureddata • machinlearning
March 12
🏢 In-office - Bay Area
Vector database for enterprise-grade AI
database • artificialintelligence • datascience • unstructureddata • machinlearning
• 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.
• Competitive compensation (cash + equity) • Regular bonus and equity refresh opportunities • Medical, dental, and vision insurance • Paid time off, including vacation, sick leave, and global reset/wellbeing days • Generous 401(k) and regional retirement plans • Hybrid work model/Remote work opportunities available
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