Responsibilities​​

• Craft requirements, specifications and testing criteria for perception module based on standard customer inputs

• Develop Vision, LIDAR and Fusion algorithms/AI models for autonomous vehicle perception

  • Semantic segmentation

  • Object recognition

  • Sensor Fusion of vision/LIDAR/Radar

  • Multi-target tracking

  • Multi target prediction

• Algorithm deployment on automotive embedded system

• Validate algorithms via real vehicle testing

• Proper documentation

 

Requirements

• Master Degree in Computer Science or related field.

• Extensive experience of Vision and Lidar data processing.

  • Image/Pointcloud data pre-processing

  • Segmentation

  • Object recognition

• Extensive experience of one or more of the following:

  • Deep learning applied to images or video data.

  • Other modern machine learning methods.

  • Sensor fusion of RGB and depth.

  • ROS software development.

• 3+ years of experience in C++ software development.

• Experience in robotics, automotive or other real-time and embedded systems.

• Proven track record of publications in relevant conferences (CVPR, ICML, NIPS, ICCV).

• Excellent analytical, communication and writing skills.

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DISCLAIMER

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

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We invite interested candidates to write-in with CV to Lee Shiow Chyn, EA 12C6130/ R1112042 semicon@hpspartners.com.sg 

 

We regret that only shortlisted candidates will be contacted for a discussion.