Senior Software Engineer for High-Performance Computing

7 days ago

Redwood City, California, United States Zilliz Full time
About Zilliz

Zilliz is a fast-growing startup that specializes in developing cutting-edge vector database technologies for enterprise-grade AI applications. Our mission is to simplify data management for AI applications and make vector databases accessible to every organization.

Job Responsibilities

  • Optimize core algorithm libraries and develop novel algorithms for vector preprocessing, index building, and querying.
  • Analyze algorithm performance and formulate technical plans and benchmarks for improvements.
  • Contribute to 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.

Requirements

  • Proficiency in C++ is a must.
  • Embracing the engineering mentality and 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, 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.

Zilliz is committed to building an inclusive and diverse workforce. We are an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

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