Software Engineer (EDA Optimization)

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Software Engineering
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152484 Requisition #
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Xilinx is the world's leading provider of All Programmable FPGAs, SoCs and 3D ICs. These industry-leading devices are coupled with a next-generation design environment and IP to serve a broad range of customer needs, from programmable logic to programmable systems integration. Our All Programmable devices underpin today's most advanced electronics. Among the broad range of end markets we serve are: 

 

 

  • Aerospace/Defense

     

  • Automotive

     

  • Broadcast

     

  • Consumer

     

  • High Performance Computing

     

  • Industrial / Scientific / Medical (ISM)

     

  • Wired

     

  • Wireless

     

 

We are looking for a talented, self-driven and motivated software engineer to be part of the Xilinx Vivado Physical Implementation team. This team is responsible for design, implementation, analysis and test of FPGA physical implementation tools which includes physical synthesis, optimization, placement, timing, power optimization & analysis and routing. These tools lie at the heart of the Xilinx Vivado tool chain and is used by all Xilinx customers to bring their designs to final implementation.  The successful candidate will be have a variety of responsibilities including research and development of novel algorithms and optimization of existing algorithms to improve quality of results (QOR), runtime and memory.

 

 

  

 

 

http://www.xilinx.com/products/design-tools/vivado/index.htm

 

 

 

 

 

Responsibilities:

 

  • Research and development of novel power analysis and optimization techniques for next generation FPGAs
  • Optimization of existing power algorithms to improve QOR, memory and runtime.

 

Requirements

 

  • BSCS/BSEE with 3+ years of experience or MSCS/MSEE. The successful candidate must have strong software engineering skills and a solid background in C++, object-oriented design, general algorithms and data structures. He/she should be self-motivated and possess excellent communication and interpersonal skills.
     
    Desired: Knowledge of placement, routing, floorplanning and synthesis algorithms
     
    Asset: Knowledge/experience in power optimization, formal optimization techniques(e.g. integer programming), graph theory, PERL/TCL scripting.

 

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