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Automation & Data Analytics Engineer

157331
Saggart, Ireland, Ireland
May 27, 2019

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Job Description

Description

Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable an adaptable, intelligent and connected world. Xilinx's products aim to solve modern challenges such as the explosion of data, heterogeneous computing after Moore's Law, and artificial intelligence (AI).


Within Xilinx the Design Software Verification team play a critical role in verifying the Xilinx EDA tool chain for both pre- and post-silicon support. As Xilinx expands its EDA portfolio in the cloud and AI compute space our testing challenge increases along with the need to improve our analysis of test data using the latest data analytics tools and techniques.


As part of the team you will work on new automation to improve the breadth and quality of data captured during testing, you will also help to develop the data analytics tools to make use of that data and drive test improvements into the software development & test teams within Xilinx. This is an exciting and challenging role which will allow you to develop your software engineering and data analysis skills to the maximum.


What you’ll be responsible for:

  • Development of test infrastructure and automation using Python, integration of test tools with an Elastic Search database
  • Development of data analysis tools and techniques to drive efficient software testing in the software development organisation
  • Help to drive improvements to automated testing throughout Xilinx’s test and development teams

What we're looking for:

  • 2+ years’ experience of automation development using Python, or similar experience
  • Honours Bachelors/Masters degree in Computer Science, Electronics/Electrical/Computer Engineering or related courses

Skills it would be great for you to have:

  • Experience of using PANDAS or Scikit Learn
  • Experience of development of web applications
  • Experience of C/C++ software development


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