Intelligent Video Processing Algorithm Engineer

Position Overview

We are collaborating with a global leader in information and communication technology seeking dedicated and skilled professionals for the role of Intelligent Video Processing Algorithm Engineer.

Key Responsibilities

• Engage in cutting-edge research on intelligent video processing algorithms that leverage advanced recognition technologies within multimedia and communication domains.
• Develop methods in intelligent video processing, computer vision, pattern recognition, and machine learning to support tasks like object detection and tracking, event recognition, and video analysis.
• Investigate emerging video technologies and maintain awareness of new industry standards and trends in video processing.
• Conduct C-model simulation to aid in algorithm development and validation processes for video processing.

Qualifications and Skills

• Doctorate degree in Computer Science, Robotics, Electrical Engineering, or a related discipline focusing on computer graphics, computer vision, or robotics perception.
• Strong expertise in deep learning techniques including CNNs and transformers, as well as traditional machine learning and recognition methods like human and object feature extraction, visual tracking, and event recognition.
• Experience developing PC-based intelligent video processing algorithms applicable to machine vision projects.
• Skill in implementing low-level vision algorithms on embedded DSP platforms while managing CPU and memory bandwidth constraints.
• Proficient in C/C++ and/or Matlab programming with good understanding of DSP and filter design.
• Knowledge of ASIC design processes and environment.
• Familiarity with OpenCV libraries and algorithms.
• Excellent communication abilities to clearly express ideas.
• Understanding of compact CNN architectures such as ShuffleNet, MobileNet, and SqueezeNet.
• Experience with model compression techniques in video processing including knowledge distillation, parameter pruning and sharing, and low-rank factorization.
• Proficiency with deep learning frameworks like PyTorch and TensorFlow.
• Additional beneficial qualifications include expertise in image processing techniques like super-resolution, HDR, and contrast enhancement, publications in prominent conferences and journals (CVPR, ICCV, NIPS, TPAMI), achievements in major video processing competitions, and experience with large computer vision or language models.