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Staff Data Engineer

159830
Singapore, Singapore, Singapore
Jul 2, 2021

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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? We 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 beginning, 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 improve people's lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx, we care deeply about creating significant development experiences while building a strong sense of belonging and connection. We champion 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.

 

We are looking for a talented, self-driven and experienced Data Science Engineer to be part of the Product Foundry Engineering team for product yield enhancement and debug.  As part of this team, you will be responsible to architect & provide solutions for interactive data platform serving the global engineering community. You will be working closely with foundry partners and internal cross functional team for yield and quality improvement.

COMPTENCIES:

  • Build interactive product data platform using a variety of technologies & open source library (Advanced SQL, Streamlit, etc.)
  • Develop/build advanced analytics, interactive website for global NPI & production engineering teams
  • Work closely with product & yield engineers to help with data analysis automation & visualization needs
  • Work closely with tool/dbase development team to ensure their data solution meet various engineering team’s needs
  • Develop intelligent self-reporting tools operating on structured & non-structured data
  • Recommend solutions to improve product data platform reliability, efficiency, & quality

  • BS or MS in Computer Science/Engineering or equivalent with 4+ years of experience in related fields
  • 3+ years of Python based or C++ based Data Science experience
  • 2+ years of experience in one of these areas: SQL, database programming, Tableau
  • Experience with Git/version control workflows
  • Experience with DuckDB or MongoDB
  • Skillful in data analytics & statistical data analysis with advanced usage of JMP, Excel VBA & macro, or similar tools
  • Experience with product engineering unit test data & analysis a plus
  • Excellent analytical & problem-solving skills
  • Excellent verbal & written communication skills
  • Unix, VHDL or Verilog coding and scripting skill, Perl is a plus
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