First-level areas：Artificial Intelligence
First-level areas：Computer vision, machine vision, image processing
Source：Campus Recruiting
Job description ：
Job Responsibilities
Engaged in key technology research in the fields of graph databases and graph computing, and formulated technical breakthrough goals and directions for key challenges in graph data processing.
1. Conduct performance analysis and optimization on existing graph database systems, and conduct research in efficient data storage mechanisms, graph indexing techniques, transaction management, and other areas to build high concurrency and low-cost graph data change operations and millisecond level query response capabilities for large-scale graph data;
2. Analyze and study key technologies in the field of graph computing, focusing on distributed graph computing frameworks, graph data partitioning, efficient graph algorithms, real-time graph processing, and other key technologies to improve graph computing efficiency and resource utilization;
3. Participate in industry technology trend analysis, establish good connections with academia and industry through attending top industry conferences, university exchanges and cooperation, and other means.
Job requirements
1. Major in computer science, big data, mathematics, graph computing, or related fields, with a doctoral degree;
2. Have research experience related to map data, and have published papers at the top conference is preferred, and have experience in research and development of map data of front-line Internet companies is preferred;
3. Ability to quickly read and reproduce research papers, systematically compare relevant achievements in the research field, and develop improvement plans;
4. Proficient in Java/Python/C++and other languages, familiar with common big data processing frameworks such as Spark;
5. Has excellent analytical and problem-solving skills, and is passionate about solving challenging problems;
6. Have good teamwork spirit and communication awareness.
Work location. Beijing, Shanghai, Dongguan, Xi’an, Nanjing

Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: ‘Name + Position + Company Name + Location’.