software engineer (perception/SLAM), Singapore

JOB CODE: sgp-swenper (DATE POSTED: 29/08/2019)

Hiring company is a leading solutions provider and electronics manufacturer for the autonomous vehicle industry with state-of-the-art facilities in China and a global R&D core based in Singapore.

JOB TITLE: software engineer (perception/SLAM), singapore

Location: Singapore

Reports to: Head of Autonomous Vehicle Technology, Singapore

JOB DESCRIPTION:

· To research and develop deep learning-based vision algorithms for the perception tasks of autonomous driving, under practical lighting & weather conditions

· Recognition of multiple lanes, signs, signals and drivable areas, under conditions of darkness, light glare, poor weather, and roads that lack clear lane markers or boundaries

· Road segmentation to create drivable space, and separate typical objects on and off the road range

· Recognition of vehicles, with precise estimate of their distance and direction up to 80 meters

· Detection of pedestrians, with accurate measure of the distance and identify postures and possible intentions

· Test and debug the developed algorithms on real vehicle and real road driving situations

THE SUCCESSFUL APPLICANT:

· MS or BS degree in Computer Science or equivalent practical experience.

· Chinese speaking is important for this role as there is a need to liaise and work closely with Chinese speaking customers.

· 3+ years professional experience of image processing (segmentation, recognition, tracking etc.) for real time applications

· Extensive experience of one or more of the following: Deep Neural Network, Other modern machine learning methods, Geometric computer-vision such as SLAM, optical-flow and stereo, Sensor fusion of RGB and depth

· 3+ years professional experience as software engineer using C++/Python

· Good knowledge on Linux programming

· Experience of developing software as part of a team.

· Hands on experience in robotics, automotive or other real-time and embedded systems.

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

· Hands on experience in designing, implementing, and testing of computer vision applications

· Familiarity with tools of CUDA, Git, CMake and etc.

If interested, pls submit your CV to INQUIRY@tripleacepartners.com

Apologies that only shortlisted will be contacted.

EA Licence Number: 17S8549