Computer Vision Engineer
6 days ago
**Responsibilities**
1. Develop perception algorithms for autonomous driving, including data-driven based, deep-learning based, and rule based methods.
2. Develop vision/point-cloud (lidar, RGBD etc.) based models for 2D/3D/multi-modal object detection, semantic/instance segmentation, multi-task learning, etc. Deploy algorithms on platforms including Nvidia, Intel, Rockchip, Horizon Robotics.
3. Develop post-processing methods for the above mentioned algorithms, such as uncertainty modeling, noise filtering, object tracking, sequential information fusion.
4. Deploy perception algorithms on the vehicles, which includes developing C++ based model inference, cooperating with upstream & downstream modules, unit test, HIL/SIL simulation, onsite testing.
5. Improve algorithms by effective data mining. Acquire data by developing and deploying data collection and filtering methods on the vehicles.
6. Work with cross-functional teams in Shanghai, Beijing, Hangzhou, Chengdu and Singapore.
**Qualifications**
1. Major in computer science, robotics or related technical disciplines.
2. Highly competent in data structures, programming and algorithms. Familiar with Linux, C++ and Python.
3. Experiences with computer vision and deep learning algorithms. Experienced with Pytorch..
4. Bonus - Publications in top conferences like CVPR, ICCV, ECCV, ICRA, IROS, etc.
5. Bonus - Experience with robotics and/or autonomous driving, familiar with ROS.
6. Bonus - Familiar with lidar, camera and their drivers. Experienced with camera/lidar intrinsic & extrinsic calibration.
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