Responsibilities:

1. Design and development of AI algorithms for embedded devices(Mobile and IoT), includes Face Detection/Recognition, Beauty Shot, Object Recognition, Gesture Recognition and Video Diagnosis etc;

2. Performance Optimization for AI algorithms;

3. Following state-of-the-art deep learning algorithms and papers on image processing and computer vision.

Requirements:

1. PhD or MS in computer vision, artificial intelligence, pattern recognition, etc. From Computer Science, Mathematics, Statistics, Electronic Engineering or other related fields. At least 3 years of practical experience in related filed;

2. Strong programming skills in C/C++, and familiar with Python;

3. Knowledge of deep neural networks, and good experience in CNN-based algorithms on image processing and computer vision;

4. Experience in popular deep learning frameworks, Tensorflow, Caffe or Pytorch etc. Experience in TensorflowLite, Paddle Paddle, MACE (xiaomi) is preferred;

5. Experience in IoT / embedded system (i.e. smart home, smart display, smart IP camera for surveillance, etc.)  is preferred;

6. Good knowledge on CPU, GPU, NPU architecture is a plus;

7. Good oral and written communication skills in English . 

Company Information:

The company is committed to be an excellent chip design company, relying on Qualcomm's leading technology platform, based in China.