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Research Intern

156920
Saggart, Ireland, Ireland
Sep 5, 2019

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Job Description

Description

At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? At Xilinx, we hire and develop leaders and innovators who want to revolutionize the world of technology.  We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.


Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice.  From the start, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world’s first 5G networks, we empower the world’s builders and visionaries whose ideas solve every day problems and enhance people’s lives. 

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you!  At Xilinx we care deeply about creating meaningful development experiences while building a strong sense of belonging and connection. We foster an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters – world class technology that improves the way we live and work.  We are ONEXILINX.

 

The Background:

The Xilinx Research Labs in Dublin, Ireland is a small dynamic part of Xilinx, the world’s leading supplier of programmable logic solutions. We are extending the AI team which is conducting cutting-edge research in topics which push the envelope of FPGA performance. We are investigating novel machine learning algorithms, mappings and novel architectures for all programmable devices. The application domains include IoT, automotive markets and data centers. We are working to make deep learning faster, cheaper and greener together with leading customers, start-ups and world-class universities. We analyze, prototype and evaluate key concepts while creating and experimenting with new programming paradigms, leveraging machine learning frameworks. In close collaboration with the engineering organizations, we also research architectures for next generation devices and contribute through performance modelling and analysis of driving applications. The work environment is intellectually challenging, flexible, friendly, fun and supportive with a strong team spirit.

 

The Role:

In this role, you work closely with the other researchers within the team to create and evaluate novel ideas. The specific activities can be diverse ranging from analyzing case studies, designing and training new ML algorithms that are faster and more energy efficient, developing new tools, performance modelling, to presenting results and writing reports, publishing papers or submitting patent applications as appropriate.

 

Responsibilities:

  •      Conducting research activities within a team of about 10 scientists and external partners (universities and customers) and in close collaboration with the internal engineering teams in the areas described as ab
  • Tracking of latest advances in research
  • Organization & analysis of results
  •       Integration with machine learning frameworks
  •       Publications in appropriate journals and conferences
  •       Collaborating with other teams inside Xilinx

 

CS

 

Requirements: 

  • Degree in Computer Science, Electrical Engineering or related field

  • Experience and understanding of one of the following fields:

    • Machine Learning.

    • Comfortable with design & training of neural networks with one or more of the common frameworks

    • High Performance Computing

    • Signal processing, or image processing

    • Architectures for dedicated high-speed applications

  • Some exposure to concurrent programming and demonstrated programming skills   

  • Basic understanding of computer architectures and run-time systems

  • Strong communication skills, verbal and written

  • Strong analytical skills

  • Flexibility, interest in technology, eagerness to learn, with a good attitude towards work

 


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