You will advance computer vision algorithms for semantic scene segmentation, motion tracking, image modeling, image registration, and 3D model reconstruction to promote integration of CG, CV, AI and image processing technologies into a unified pipeline to provide a tool chain for better digital reality experience
Develop vision-based indoor and outdoor positioning systems that process multi-modal information from multiple sensors, design visual location recognition systems that are robust to variations in the capture conditions and viewpoint changes
Implement optimized and accurate solutions for on-device that use reduced memory and run in real-time
Work with multiple 3rd Party SDKs to integrate computer vision algorithms, AR/VR tracking, and haptics applications to build experimental prototypes
PhD or MS in Computer Science, Electrical Engineering or a related field
At least three-yearexperience in computer vision
Essential hands-on experience in developing computer vision solutions involving
State-of-the-art intensity and feature based image/video registration and alignment algorithms for camera calibration, photogrammetry, depth estimation and structure from motion
Reconstruction and updating a map of the environment while simultaneously keeping track of sensor location (SLAM), georeferencing and positioning
Clustering parts of images together which belong to the same object class
Solid understanding and extensive experience with object detection and recognition based on deep learning
Involving ResNet, DenseNet, MobileNet, YOLO, VGG, etc.
Preferably implemented with TensorFlow library
Well versed in the state-of-the-art in real time 2D and 3D data processing, feature design, training, cross-validation, feature down-selection, performance evaluation
Experience in technologies for AR/VR, haptics, 3D graphics including rendering and simulation
Experience in working with data from RGB cameras, IR cameras, depth cameras
Experience operating on large datasets, data collection, data labeling
Very strong implementation skills in C++, Python using OpenCV
Research publications at good venues are a plus
Highly motivated to work as a team player and as an individual contributor
Comfortable working in a fast-paced environment, and a can-do attitude
Good oral and written communication, interpersonal skills and fluency in English.
Huawei Inc. is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.