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Synopsys

武汉校招-Software Engineer (Machine Learning and CNN Programming)

  • 15万-25万/年
  • 武汉
  • |
  • 应届生/在校生
  • |
  • 硕士
  • |
  • 全职

职位诱惑: 年终奖金,五险一金,技术领先,成长空间大

发布时间: 2019-08-30发布

职位描述

Job Title:Software Engineer (Machine Learning and CNN Programming)
Location:武汉
简历投递至:campus@synopsys.com 

We are a leading edge R&D team developing an advanced Embedded Vision Processor (EVP) driving computer vision, image analytics and augmented reality applications for embedded systems. The EVP combines general-purpose vision vector processing and a specialized programmable engine supporting deep learning approaches, leveraging convolutional neural networks (CNN).
We are looking for an experienced engineer to work on optimizing machine learning algorithms applied for computer vision. programming and analysis tools for the programmable CNN engine.
The programming environment supports deep learning frameworks like Caffe, Tensorflow and others.

In this position, you will have responsibility for the following activities:
• Research and develop sate of the art deep learning compression including model distillation, pruning, quantization, and others for CNN, RNN and LSTM graphs.
• Contribute to develop tools to optimize deep learning algorithms ready for deployment to EV processor
• Use deep learning frameworks such as TensorFlow, Caffe2 and PyTorch to develop advance training algorithm to auto prune and reach low-bit quantization.
• Apply model computation reduction techniques to computer vision applications and others.
• Close interaction with System, Hardware and Software architects to best leverage the features of the CNN engine and runtime
Requirements include:

• M.Sc/Phd in engineering or science field such as computer science, electrical engineering, statistics or applied mathematics.
• Graduate research experience in one or more of the following area: Neural Networks, Deep Learning, and Reinforcement learning
• Good understanding of state of the art in model compression, pruning and quantization
• Solid understanding of CNN, RNN, LSTM and their training using hyper-parameters tuning
• Experience using deep learning frameworks, e.g, TensorFlow, Caffe, PyTorch
• Experience with scripting languages like Python
• Basic exposure to FPGA-based prototyping boards
• Knowledge of operating system fundamentals
• Good programming skills in C and C++
• Experience with the use of Linux and Windows O/S
• Experience with SW development processes: project planning, version control, bug tracking
• Excellent teamwork and communication skills
• English Resume is required

职位发布者

HR

HR

7天

简历处理用时

93%

简历及时处理率

Synopsys

Synopsys

领域: 消费电子,智能硬件,通信网络

规模: 500-1000人

主页: http://www.synopsys.com

工作地址:

武汉市东湖经济技术开发区

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