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Software Developer/Validation-Engineer in Deep Lea

Intel


Location:
Shanghai
Date:
09/22/2017
2017-09-222017-10-21
Job Code:
JR0034330
Categories:
  • IT Engineer
  • Developer
  • Software Developer
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Job Details

Software Developer/ValidationCareers at Intel inEngineer in Deep Lea
   
Job ID: JR0034330
Job Category: Engineering
Primary Location: Shanghai, Shanghai CN
Other Locations:
Job Type: Experienced Hire

Software Developer/Validation-Engineer in Deep Lea

Job Description
.Candidate is responsible to develop and validate machine learning product for generic purpose or common use in a certain domain specific field. This job is responsible to bring the best accuracy/performance as well as easy-of-use to customer. Job scope may be diverse during different stage of produce life cycle. The initial responsibility of hired employee will focus on developing products, tools and validation methods. The job scope may include: Participate in product concept readiness proving by implementing prototype, or collecting and analyzing data Actively co-work with other engineers in design review and product implementation Implement, deliver and refine product features independently Collect, analysis, and improve product performance independently Design and implement validation tools and test methodology to measure and assure quality and performance of products Work closely with colleagues or customers cross organization or cross GEO to collect requirement, solve technical issue or share knowledge.


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 solvingExcellent development and debugging skills system level language such as C, C++ and assembly preferredProven 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 cycleGood proven record for cluster infrastructure management with High Performance computingHPC, like load balance , high availability service, and scalabilityExcellent 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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