自动驾驶多模态感知算法专家_XC
你的任务
负责自动驾驶真值系统的感知软件系统设计与研发。
Responsible for ADAS ground truth system perception software system design and development.
负责自动驾驶真值系统的自动标注算法 （包括，融合，检测，分割等）的训练，部署与开发。
Responsible for ADAS ground truth system multi-sensor fusion detection and segmentation algorithm design and development.
负责自动驾驶真值系统的跟踪算法的训练，部署与开发。
Responsible for ADAS ground truth system multi-sensor fusion tracking algorithm training, deployment and development.
负责自动驾驶真值系统云端数据管道与处理流程的开发。
Responsible for ADAS ground truth system process cloud pipeline system design and development.
协助自动驾驶真值系统的车载传感器硬件方案制定与采集系统集成。
Support for ADAS ground truth system data acquisition system integration.
与其他团队配合，分析和挖掘极端情况、表征原因、内在规律等，例如自动驾驶功能潜在风险与事故的数据分析与规律等
Cooperate with other teams to analyze corner cases, characterization causes, and internal laws of the automatic driving function, such as the data analysis and laws of the potential risks and accidents of the automatic driving function, etc.
您的个人资料 数学、机器学习、计算机，机器人等相关专业，并且在计算机视觉/激光雷达感知等领域有3年以上工作经验。
Minimum of a Master Degree in Mathematics, Machine Learning, computer, robotics and other related majors, and equivalent with 3+ years experiences of deep/machine learning or computer vision.
熟练掌握编程技能且有实践经验，例如C, C++, Python
Proficiency and practical experiences in programming, e.g. C, C++, Python
熟练掌握深度学习编程框架， 例如 pytorch ，tensorflow, Caffe等
Proficiency and practical experiences in deep learning development frameworks, such as pytorch, tensorflow, caffe.
熟练掌握融合跟踪算法的预处理，运动模型，距离量测，匹配规则, 生命周期等
Proficiency and practical experiences in multi-sensor fusion tracking algorithm, such as pre-processing, motion model, association, matching strategies and lifecycle management.
在感知结果数据挖掘，感知算法迁移与设计有一定经验
Experience in perception data mining, algorithms design and implementation.
思维活跃，学习能力强，善于探索未知领域
Active thinking, strong learning ability, good at exploring unknown areas
具有自主和高效的工作方式的强大的团队成员
Strong team player with autonomous and efficient working style
具有出色的沟通技巧，流畅的英语表述（口头和书面）
Excellent communication skills, fluent in English (oral and written)
具有创新，问题解决的热情 & 创业性心态
Passion for innovation, problem solving & entrepreneurial mindset
以下均为加分项：
熟悉devops工具使用，例如git, docker, airflow, k8s 等
Familiarity with the basic operation of devops, eg, git, docker, airflow, k8s.
曾在领域内的顶级会议发表论文 (例如：ICRA，IROS)；
Published and presented at top conferences in related field, eg. ICRA, IROS
有出色的感知算法产品及落地经验
Excellent experience in perception algorithm products and implementation
数学、机器学习、计算机，机器人等相关专业，并且在计算机视觉/激光雷达感知等领域有3年以上工作经验。
Minimum of a Master Degree in Mathematics, Machine Learning, computer, robotics and other related majors, and equivalent with 3+ years experiences of deep/machine learning or computer vision.
熟练掌握编程技能且有实践经验，例如C, C++, Python
Proficiency and practical experiences in programming, e.g. C, C++, Python
熟练掌握深度学习编程框架， 例如 pytorch ，tensorflow, Caffe等
Proficiency and practical experiences in deep learning development frameworks, such as pytorch, tensorflow, caffe.
熟练掌握融合跟踪算法的预处理，运动模型，距离量测，匹配规则, 生命周期等
Proficiency and practical experiences in multi-sensor fusion tracking algorithm, such as pre-processing, motion model, association, matching strategies and lifecycle management.
在感知结果数据挖掘，感知算法迁移与设计有一定经验
Experience in perception data mining, algorithms design and implementation.
思维活跃，学习能力强，善于探索未知领域
Active thinking, strong learning ability, good at exploring unknown areas
具有自主和高效的工作方式的强大的团队成员
Strong team player with autonomous and efficient working style
具有出色的沟通技巧，流畅的英语表述（口头和书面）
Excellent communication skills, fluent in English (oral and written)
具有创新，问题解决的热情 & 创业性心态
Passion for innovation, problem solving & entrepreneurial mindset
以下均为加分项：
熟悉devops工具使用，例如git, docker, airflow, k8s 等
Familiarity with the basic operation of devops, eg, git, docker, airflow, k8s.
曾在领域内的顶级会议发表论文 (例如：ICRA，IROS)；
Published and presented at top conferences in related field, eg. ICRA, IROS
有出色的感知算法产品及落地经验
Excellent experience in perception algorithm products and implementation
