端到端⾃动驾驶- 算法实习⽣（战略实习⽣）

(Responsibilities) Investigate the feasible technologies based on project

. Design and implement end-to-end algorithms to enhance active safety strategies, innovate solutions, and achieve state-of-the-art performance for academic publications. Evaluate and document the performances of developed computer vision algorithms on our internal benchmark. Fulfill the project goals on timing and quality. Document process and results during development, especially for the key milestones. Feedback process or problems timely, discuss and find solutions with team. 职责描述: 基于项目需求进行相关可用技术的调研分析。 设计并实现端到端算法，以强化主动安全策略、创新解决方案，并实现可用于学术发表的前沿性能。 使用内部基准和仿真工具评估算法性能，并完整记录结果。 规划开发进度，并能按计划逐步完成开发工作。 记录开发进程及阶段性成果，里程碑成果进行总结汇报。 及时反馈开发进度及遇到的问题，与团队讨论并寻找解决方案，并记录。 Required Knowledge, Competencies and Attributes (Requirements) Experiences with computer vision / E2E autonomous driving model relevant research or projects. Solid understanding of the fundamental of computer vision and machine learning. Good programming capability, familiar with C++/python, OpenCV and pytorch/tensorflow. Major in computer science, electronics engineering or related fields to information technology. Willing to learn new tools and platforms. Self-dependent, highly motivated and problem-solving mentality. English reading and writing capability is required. Enroll as soon as possible, and it's a big plus if the candidate can stay for more than 6 months. 能力需求: 有计算机视觉或者端到端自动驾驶相关研究和项目的经历。 扎实掌握计算机视觉与机器学习的基础理论。 良好的编程能力，熟悉 C++/python、OpenCV 和 pytorch/tensorflow。 计算机、电子，或相关信息科学领域专业。 乐于学习新的编程工具和平台。 独立，积极和主动解决问题的能力。 良好的英文读写能力。 尽快到岗，若候选人可实习超过 6 个月将是极大优势