ADAS多模态融合软件专家_PS

1. Design and develop ADAS ground truth system perception software system incl. multi-sensor fusion detection and segmentation algorithm tracking algorithm process cloud pipeline etc.

ADAS

1. Design and develop innovative multi-model fusion algorithms such as map fusion modules multi-frame local map construction modules and road network construction modules based on static environment and dynamic objects perception results and offline maps etc.

1. Performance optimization for sensor fusion models in vehicle application.

1. Cooperate with Bosch business units in China and worldwide for requirement analysis technology transfer and evaluate market attractiveness of new technical solutions.

Qualifications :

1. Masters degree or above with major in Automotive/Automation/Computer Science/Artificial Intelligence/Electrical Engineering/Mechatronics or related.

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1. More than 3 years working experience in automotive electronics experienced in ADAS perception fusion.

3ADAS

1. Strong knowledge in the perception domain such as object detection object tracking semantic segmentation and depth estimation based on camera/LiDAR.

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1. Familiar with SW development processes AUTOSAR architecture.

AUTOSAR

1. Strong pressure resilience strong sense of responsibility.

1. Professional English: able to use English fluently and accurately (speaking listening reading and writing).

Nice to have

1. Familiarity with open-source vision libraries such as OpenCV and PCL

OpenCVPCL

1. Familiarity with AI-based perception backbone frameworks and model training

AI

1. Familiarity with filtering and optimization algorithms

1. Experience in local map construction lane detection perception & map fusion perception result fusion and PnC is a strong plus

PnC

1. Experience in ADAS sensors such as cameras LiDARs and radars; familiarity with SD/HD map data structure is a strong plus

ADAS///SD/HD Map

1. Proficiency and practical experiences in ROS Python or C and developing in Linux

ROSPython/CLinux

Remote Work :

No

Employment Type :

Full-time