Master's or doctoral degree in applied mathematics, pattern recognition, machine learning, electronic information, robotics, or a related field, or equivalent professional experience
Required Previous Experiences
5+ years of Linux/QNX embedded development experience
Experience with large-scale autonomous driving or vehicle platform projects
Strong C/C++ foundation and systems programming ability
Preferred Qualifications
Autonomous driving or embodied intelligence project experience
Embodied intelligence research and deployment experience
Expertise in one or more algorithm research areas
ACM experience
Top-tier computer vision and pattern recognition conference or journal publications
Top-tier academic competition results or practical engineering projects
AI inference deployment and model optimization experience