(PhD) AI Platform/Performance Optimization Senior Engineer

Job Responsibilities:

1. Algorithm optimization: Responsible for computing performance optimization and basic library design on CPU/GPU/NPU and other processors in AI algorithms; responsible for the effect evaluation and analysis of models such as CNN/RNN/RL; responsible for continuously tracking the industry's best implementation, Surpass and innovate; 
 2. System platform: Responsible for the design, development and optimization of AI-related system platforms, and balance performance and usability indicators; responsible for continuously tracking the industry's best implementation, surpassing and innovating; responsible for and Connect upstream and downstream customers to continuously improve the performance and performance of the platform.

Job requirements:

1. Computer science, machine learning, statistics, applied mathematics and other professional fields; 
 2. Good research background and achievements, strong interest in algorithm research, strong business abstraction ability; creative thinking, able to transform new ideas into projects Application; full of enthusiasm for research work, good teamwork spirit and communication skills; 
 3. Possess strong programming ability, proficient in mainstream programming languages, such as C++ /Java /Python, etc.; 
 4. Present at high-level international conferences and Have published relevant papers in academic journals, or have award-winning experience in high-level competitions. 
 
 Working language is Mandarin.