Lidar感知算法工程师_XC
Bosch Group
Lidar感知算法工程师_XC
Job Description
Description
负责主导自动驾驶相关的Lidar感知算法研发，包括障碍物检测、路沿检测、occupancy通用障碍物检测及点云语义分割，视觉激光前融算法
交付为导向推动相关算法在实际应用中的优化和落地，支持征程6/ORIN X/ ORIN Y等中高算力平台的城市NOA项目交付；
对相关算法进行持续改进，保持算法在学术界和工业界的领先性：
负责相关模型任务的问题分析，数据挖掘及数据集和数据闭环的完整搭建；
负责算法在自动驾驶实际产品中的落地和优化提升，解决实际问题。
Qualifications
计算机/机器人/统计/自动化等相关专业，硕士及以上学历；
有端到端模型经验，BEV模块算法研发或量产中BEV问题解决经验者优先；
有计算机视觉/机器学习方向顶会论文者优先；
熟练使用框架，如Tensorflow或Pytorch。
Additional Info
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Locations
- Shanghai, Shanghai, China
Salary
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Lidar perception algorithmsintermediate
- Obstacle detection, curb detection, occupancy detection, point cloud semantic segmentationintermediate
- Computer vision and machine learningintermediate
- Tensorflow or Pytorchintermediate
Required Qualifications
- Master's or above in Computer, Robotics, Statistics, Automation or related (experience)
- End-to-end model experience, BEV module algorithm R&D or production experience preferred (experience)
- Top conference papers in computer vision/machine learning preferred (experience)
Responsibilities
- Lead development of Lidar perception algorithms for autonomous driving
- Push algorithm optimization and deployment for urban NOA projects
- Continuously improve algorithms to maintain leading position
- Analyze algorithm issues, data mining, build datasets and data loops
- Deploy and optimize algorithms in autonomous driving products
Answer 10 quick questions to check your fit for Lidar感知算法工程师_XC @ Bosch Group.
Related Books and Jobs
Lidar感知算法工程师_XC
Bosch Group
Lidar感知算法工程师_XC
Job Description
Description
负责主导自动驾驶相关的Lidar感知算法研发，包括障碍物检测、路沿检测、occupancy通用障碍物检测及点云语义分割，视觉激光前融算法
交付为导向推动相关算法在实际应用中的优化和落地，支持征程6/ORIN X/ ORIN Y等中高算力平台的城市NOA项目交付；
对相关算法进行持续改进，保持算法在学术界和工业界的领先性：
负责相关模型任务的问题分析，数据挖掘及数据集和数据闭环的完整搭建；
负责算法在自动驾驶实际产品中的落地和优化提升，解决实际问题。
Qualifications
计算机/机器人/统计/自动化等相关专业，硕士及以上学历；
有端到端模型经验，BEV模块算法研发或量产中BEV问题解决经验者优先；
有计算机视觉/机器学习方向顶会论文者优先；
熟练使用框架，如Tensorflow或Pytorch。
Additional Info
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Locations
- Shanghai, Shanghai, China
Salary
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Lidar perception algorithmsintermediate
- Obstacle detection, curb detection, occupancy detection, point cloud semantic segmentationintermediate
- Computer vision and machine learningintermediate
- Tensorflow or Pytorchintermediate
Required Qualifications
- Master's or above in Computer, Robotics, Statistics, Automation or related (experience)
- End-to-end model experience, BEV module algorithm R&D or production experience preferred (experience)
- Top conference papers in computer vision/machine learning preferred (experience)
Responsibilities
- Lead development of Lidar perception algorithms for autonomous driving
- Push algorithm optimization and deployment for urban NOA projects
- Continuously improve algorithms to maintain leading position
- Analyze algorithm issues, data mining, build datasets and data loops
- Deploy and optimize algorithms in autonomous driving products
Answer 10 quick questions to check your fit for Lidar感知算法工程师_XC @ Bosch Group.
Related Books and Jobs