深圳招聘

1. Develop advanced image processing and video processing algorithm for real product.

2. Develop camera image processing pipeline from camera row data to optimized RGB including but not limited to noise reduction, interpolation, 3A, gamma correction.

3. Develop fixed point image processing algorithm for hardware implementation.

4. Research and develop advanced image processing algorithm such as noise cancellation, motion detection, edge detection.

5. Research and develop advanced computer vision algorithm such as real-time robotic SLAM (Simultaneous Localization and Mapping) solutions including 3D sensing, position tracking, 3D mapping / reconstruction, and sensor fusion.

6. Research and develop practical solutions for 3D scene understanding (e.g., object detection) using state-of-the-art deep learning (DL) and machine learning (ML) methods.

Requirements

1. M.S./Ph.D. in Electrical Engineering, Computer Science, Robotics or similar field (Ph.D. is preferred).

2. Solid understanding on image processing, signal processing, camera pipeline.

3. Solid understanding on fixed point algorithm design.

4. Understanding on 3D geometry such as SLAM, SfM, and 3D reconstruction is a big plus.

5. Understanding and experience of applying deep learning to real problems in the fields of computer vision and robotics is a big plus.

6. Strong experience in C/C++ programing.

7. Hands-on experience in computer vision and deep learning frameworks is a big plus, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe.

8. Ability to quickly adapt to new situations, learn new technologies, and collaborate and communicate effectively.

9. 3+ years of industry experience with image processing and camera pipeline algorithm development and optimization.

耐能人工智能(Kneron Inc，)于2014年在美国圣地亚哥成立，目前在中国深圳与珠海、杭州皆已成立耐能人工智能公司，耐能Kneron本着以人工智能技术为人类提供智慧服务的使命，致力于为全球提供人工智能及深度学习的软硬件整体解决方案。
   耐能Kneron提出“云+AI+I2oT"（I2oT：Intelligent Internet of Things)的人工智能软硬件整体解决方案, 通过深度学习的人工智能，使得物联网变得更智能。当物联网上的每一个终端都具有人工智能的能力，我们能加速单个终端的执行能力，加大各个终端之间的互通能力，减轻云端的数据处理能力，从而使得物联网变得更智能。
耐能kneron官网：www.kneron.com