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Software developer in Deep learning

Intel


Location:
Shanghai
Date:
10/18/2017
2017-10-182017-11-16
Job Code:
JR0035593
Categories:
  • IT Engineer
  • Developer
  • Software Developer
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Job Details

Software developer in Deep learning Careers at Intel in Shanghai, Shanghai
   
Job ID: JR0035593
Job Category: Engineering
Primary Location: Shanghai, Shanghai CN
Other Locations:
Job Type: College Grad

Software developer in Deep learning

Job Description
Conduct or participate in multidisciplinary research and collaborate in the design, development and utilization in order to build and optimize software for deep learning developer framework. Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication. Transform computational graph representation of neural network model. Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimizing code for various computing hardware backends. Interacting with deep learning researchers. Experience with deep learning frameworks Neon, TensorFlow, MXNet, PyTorch, Chainer, Caffe and Python data science tools such as NumPy. Develops solutions to problems utilizing formal education, judgement and formal software process. M.S. or Ph.D. in CS, ECE or related fields with an emphasis on strong statistics and applied math skills.


Qualifications

The candidate should possess at least a Master degree of Computer Science or related BS/MS degree in Computer field or a bachelor degree with at least 2 years of experience. The candidate should have following qualifications:Language and and fundamental skill : candidate should be solid on at least one of the following language and familiar with at least two:Python;C/C++/JAVA;Assembly languageIt will be a plus to be familiar with the knowledge of below domains: Computer architecture;Compiler;OS and language runtime environmentMachine learning: candidate should have experience in at least one of the following fields: 2 year+ experience in data analysis, in image/video, natural language, statistic data or other field Experience in deep learning frameworks such as Caffe, TensorFlow, Torch, Theano, MXNeto Have improved performance for one of the frameworks is a pluso Have implemented new model on one of the frameworks is a pluso Have ported a model from one framework to another is a pluso Have used existing model to improve state-of-art of empirical problem is a plus Candidate should be familiar with deep learning algorithm as well as traditional data analyze algorithm such as SVM, PCA, K-mean, etc.Technical/problem solving Excellent development and debugging skills system level language such as C, C++ and assembly preferred Proven track record of analyzing and solving complex technical problems Proven track record of deliver result in time on short release cycle Good understanding and excellent hands-on engineering capability of quality control in software development life cycle Good proven record for cluster infrastructure management with High Performance computingHPC, like load balance , high availability service, and scalability Excellent written and oral communication skills and be able to clearly communicate technical details and concepts

Inside this Business Group

The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel® processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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