Intelligent Video Processing Algorithm Engineer

Key Responsibilities:

Participate in research of advanced intelligent video processing algorithms using state-of-the-art recognition technologies for multimedia and communication applications

Research in intelligent video processing, computer vision, pattern recognition or machine learning for applications like object detection/tracking, event recognition, video analysis, etc.

Perform research into leading edge and emerging video technologies, ideas, approaches and keep up to date with new video processing standards and general industry trends

C-model simulation for video processing algorithm development and verification.

Required Qualifications:

Master’s degree or above in Computer Science, Robotics, Electrical Engineering, or related field with a focus on computer graphic, computer vision or robotics perception.

Insightful know-how on deep-learning, CNN/transformer, traditional machine learning and recognition technologies, such as human and object feature extractions, visual tracking, event recognition

PC-based algorithmic intelligent video processing algorithm development for machine vision projects and applications.

Implementation of low-level vision algorithms on embedded DSP platforms with associated CPU and memory bandwidth limitations

Working knowledge of C/C++ and/or Matlab and proficiency with DSP and filter design.

Familiarity with ASIC design approach and environment Familiar with OpenCV library and related algorithms

Ability to express ideas and communicate effectively.

Insightful understanding of compact CNN model and design, such as ShuffleNet, MobileNet, SqueezeNet, etc.

Be familiar with model compression algorithms on video processing, such as knowledge distillation, parameter pruning and sharing, low-rank factorization, etc.

Rich experiences in handling the deep learning development tools, such as Pytorch, TensorFlow, etc.

Any of the following skills and experiences would be an added advantage:

Key image processing algorithms such as super resolution/HDR/contrast enhancement for display devices.

Publications on top-ranking conferences and journals in related fields, such as CVPR, ICCV, NIPS, TPAMI, etc.

Top-ranking and/or award receivers in world competition in video processing field

Research experience on large cv/language model

Interested candidate please click "APPLY" to begin your job search journey.

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