Intelligent Video Processing Algorithm Engineer

Beijing Foreign Enterprise Management Consultants Co.,Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Huawei in Singapore seeks an Intelligent Video Processing Algorithm Engineer to advance state-of-the-art video processing and CV techniques for multimedia applications.

You will work on CNN/transformer based recognition, model compression, and deployment on embedded DSP platforms, contributing to research and potential publications.

Qualifications

• PhD in CS/EE/Robotics with CV/robotics perception focus.
• Strong knowledge of deep learning, CNN/transformer and recognition tech.
• PC-based algorithm development for video processing in ML projects.
• Embedded DSP platforms with CPU/memory constraints experience.
• Proficiency in C/C++ and MATLAB; familiarity with OpenCV.

Responsibilities

• Participate in research of advanced intelligent video processing algorithms for multimedia and communication applications.
• Research intelligent video processing, computer vision, pattern recognition or ML for object detection/tracking and video analysis.
• Develop high-performance video processing algorithms and verify with C-model simulations.
• Keep up-to-date with video processing standards and industry trends.

Skills

Deep learning

CNN/Transformer

Computer vision

Pattern recognition

Machine learning

C/C++

Matlab

OpenCV

Pytorch

TensorFlow

Model compression

Video processing

Education

PhD in Computer Science, Robotics, Electrical Engineering or related (CV/vision focus)

Tools

OpenCV

DSP toolchain

MATLAB

Job description

On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Intelligent Video Processing Algorithm Engineer

Job Responsibilities:

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

Job Requirements:

• PhD 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.