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Spark/Analytics Software Engineer

Intel


Location:
Shanghai
Date:
04/06/2018
2018-04-062018-05-05
Job Code:
JR0056349
Categories:
  • IT Engineer
  • Engineering
  • Software Engineer
  • Software Developer
  • Developer
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Job Details

Spark/Analytics Software Engineer Careers at Intel in Shanghai, Shanghai
   
Job ID: JR0056349
Job Category: Engineering
Primary Location: Shanghai, Shanghai CN
Other Locations:
Job Type:

Spark/Analytics Software Engineer

Job Description

Big Data Engineering team leads the Apache Spark optimization on IA(Intel Architecture) at Intel, as a software engineer in this team, you will work closely with open source community, keep the IA(Intel Architecture) the best computation platform for our customers, and you will also get the opportunities to solve the most tough technical problems in customers’ big data products.



Qualifications

1. Solid knowledge on OS, data structures, algorithms, and hands-on experience in developing software with C/C++/Java/Python etc..

2. Quick learner and be passionate in learning new things.

3. Excellent communication skills, written and verbally in English / Chinese.

4. BSc / MSc / PhD degree in Electronics Engineering / Information Technology / Computer Science / Software Engineering or equivalent.

5. Experience with Linux kernel, virtualization, distributed system, high performance computing or hardware language, is a big plus.

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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