工作職責
Key Responsibilities AI Model Development: Design and build AI models to recognize obstacles, pedestrians, lane markings, and other critical environmental elements. Simulation Testing: Conduct simulations to evaluate the AI model's performance across various scenarios, ensuring reliability and accuracy before real-world implementation. Integration of Sensor Technologies: Incorporate advanced sensors to enhance the motorcycle's perception capabilities. User Interface Design: Develop an intuitive interface for riders to interact with the Intelligent Driving Assistant System, ensuring ease of use and accessibility. Safety Protocol Development: Establish safety protocols for the AI system, including emergency response mechanisms that activate in critical situations. Field Testing: Conduct real-world tests with prototypes to gather feedback and make necessary adjustments based on rider experiences. Documentation and Reporting: Maintain thorough documentation throughout the R&D process to track progress, challenges, and solutions. Qualifications: Bachelor's degree or above in Computer Science, Software Engineering, or a related field. Experience in AI/ML model development and simulation testing. Strong programming skills in languages such as Python, C++, or similar. Excellent problem-solving abilities and attention to detail.
津貼和福利
不適用
工作地點
Cyberport
工作時間
週一至週五
09:00 - 18:00
工作要求
教育程度:
大學
語言:
口語
英文
普通話
書寫
中文
英文
僱主資料
Shadow Dynamics Limited positions itself as a pioneering force in the smart mobility sector, uniquely combining cutting-edge technology with a deep understanding of rider needs. Collaborating with the three notable motorcycle enterprises based in Jiangmen, China, focusing on the integration of advanced technologies that prioritize rider awareness and accident prevention, our positioning is defined by: Our goal is to drive the intelligent upgrade of the motorcycle industry, leading the future of riding experiences. We aim to provide global consumers with safer, more efficient, and personalized mobility solutions. We leverage the latest advancements in artificial intelligence, machine learning, and millimeter wave technologies to create smart motorcycles that are not only safe but also intuitive and responsive to rider behavior. while establishing an internationally recognized brand image for intelligent motorcycles.