Ford China Driver Assistance Technologies is expanding engineering and research activities in the field of Automated Driving, focus to deliver world-class ADAS and AD solutions experiences for the Ford and Lincoln vehicle brands.

• Design and develop visual perception algorithms for driving scenarios, including vehicle/pedestrian/general object/lane/traffic signs etc. in highway and urban environments.

• Explore and develop 3D perception solutions, including but not limited to BEV vector perception, 3D object detection, and occupancy network perception.

• Develop detection and semantic segmentation algorithms based on cameras and sensor fusion.

• Optimize model training algorithms and streamline models to enhance accuracy and speed.

• Collect, process, maintain, and analyze datasets.

• Design evaluation metrics for algorithms and establish iterative strategies.

• Organize training data and develop data annotation schemes.

• Support perception issue analysis and fix for on-going and incoming programs

• Master's degree or above in Computer Science, Artificial Intelligence, Information Technology, Mathematics, Electronics, Automation, Automotive Engineering, Robotics, or related fields.

• At least 3 years of experience in autonomous driving projects and deep learning development.

• Strong computer science foundation, proficient in Python programming, familiar with Linux and OpenCV, with C/C++ development experience preferred.

• Proficient in common coding frameworks and at least one deep learning framework such as PyTorch or TensorFlow.

• Deep understanding of mainstream CNN/RNN neural network structures, including but not limited to VGGNet, ResNet, LSTM, and Transformer, with relevant development experience.

• Familiar with current mainstream deep learning algorithms, including but not limited to BEV perception, unsupervised training, large models, object detection, image segmentation, multi-task learning, and multi-sensor fusion.

• Experience in one or more ML/DL/CV projects, strong problem-solving abilities, and proficient in reading technical documents in English.

• Excellent communication and collaboration skills, self-driven, result-oriented, and capable of deconstructing algorithm development tasks and delegation.

• Strong values, intrinsic motivation, excellent learning abilities, and the ability to proactively solve problems and handle work pressure.

• Responsible, passionate about technological innovation, and good team player with excellent communication skills.

• Please use Liepin to seek detailed position information. Thanks.

Requisition ID : 32373