Deep Learning Software Engineer

• Design and develop deep-learning software such as image recognition, voice recognition applications and relevant middleware on embedded Linux systems.
• Deploy typical deep-learning networks to embedded systems, utilizing relevant hardware accelerators on the SoC to optimize the network performance.
• Design the software with use cases, data flow diagram and other technical documents.
• Develop test cases for your code and the drivers/middleware API your applications are based on.

Candidates meeting multiple below criteria are preferred:

• Work experience and rank are not limited.
• Experience in C/C++ programming.
• Have experience in application, middleware or driver development on Linux systems.
• Practical experience in deep-learning software development on embedded systems.
• Good understanding of widely used CNN and RNN networks in deep learning.
• Good spoken English and written English.
• Good teamwork and communication skills.