ADASPS

• Design and develop ADAS ground truth system perception algorithm incl. multi-sensor fusion detection and segmentation algorithm tracking algorithm process cloud pipeline etc.
• 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.
• Performance optimization for sensor fusion models in vehicle application.
• Cooperate with Bosch business units in China and worldwide for requirement analysis technology transfer and evaluate market attractiveness of new technical solutions.

Qualifications :

Qualifications Requirement

• Masters degree or above with major in Automotive/Automation/Computer Science/Artificial Intelligence/Electrical Engineering/Mechatronics or related.
• More than 3 years working experience in automotive electronics experienced in ADAS perception fusion.
• Strong knowledge in the perception domain such as object detection object tracking semantic segmentation and depth estimation based on camera/LiDAR.
• Professional English: able to use English fluently and accurately (speaking listening reading and writing).

Job Relevant Knowledge and Experience

• Familiarity with open-source vision libraries such as OpenCV and PCL
• Familiarity with AI-based perception backbone frameworks and model training
• Familiarity with filtering and optimization algorithms
• Experience in local map construction lane detection perception & map fusion perception result fusion and PnC is a strong plus
• Experience in ADAS sensors such as cameras LiDARs and radars; familiarity with SD/HD map data structure is a strong plus
• Proficiency and practical experiences in ROS Python or C and developing in Linux

Remote Work :

No

Employment Type :

Full-time