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Job Field: Office Jobs
Location: SEATTLE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

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               <td align="left"><font style="font-size: 100%;">Software Engineer - Big Data and HPC<BR><BR><BR><BR>Job ID: 191192<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 9/19/2012<BR>Company: Amazon Corporate LLC<BR><BR>Position Category: Software Development <BR>Apply for This Position<BR><BR>* Apply for this position online<BR>* E-mail this position to a friend<BR>Position Details<BR>Job Description<BR>Want to launch the next big thing in High Performance Computing on the cloud?<BR><BR>Amazon is looking for an exceptional engineer to join a small, elite team to pioneer a visionary, massive-scale set of services that will revolutionize HPC. You will be responsible for building major components of this unique charter.<BR><BR>This role requires strong programming skills, an understanding of big data and parallelization and a true passion for massive-scale computing. You will work with other excellent engineers and passionate leaders on complex distributed systems and service oriented architecture, while building backend components for solving large scale problems in many verticals and making them perform better as well as front-end APIs for our customers. The ideal candidate will have worked deeply with HPC technologies and have a great understanding of the problems involved. You should be someone who thrives in a startup-type environment of agile, iterative (and fun!) development.<BR>Basic Qualifications<BR><BR>* Bachelor''s degree in computer science or equivalent experience.<BR>* 10+ year''s overall development experience.<BR>* Outstanding programming ability with Java or C# or C++<BR><BR>Preferred Qualifications<BR><BR>* Masters / PhD in a domain relevant to HPC<BR>* Background in HPC (multiple verticals considered) / GPGPU programming<BR>* Publication(s) in HPC, large-scale processing, or parallelization<BR>* Experience with HPC technologies<BR>* Strong knowledge of data structures, algorithms, and asynchronous architectures.<BR>* Shipped large-scale commercial products or services<BR>* Expertise working with big data (Hadoop, Hive, Pig, HDFS, HBase, etc.)<BR>* Comfort with scripting languages such as python and/or perl<BR>Experience in a startup environment<BR>* Proven track record on delivering results, especially in the areas of writing high-performance, reliable and maintainable code.** For more information on Amazon Web Services, please visit http://aws.amazon.com **<BR><BR>*LI-AS2<BR>*emr-jobs<BR>*bigdata-jobs                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               </font></td>
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