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Staff Software Engineer

156032
San Jose, CA, United States
Apr 8, 2019

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Job Description

Description

Description
Insightful real time and intelligent data analytics results into massive compute node scaling, which are expensive and, sometimes infeasible. This job offers a unique opportunity to challenge existing compute-models by enabling efficient and novel field customizable Xilinx solutions. Xilinx is looking for a passionate design engineer ready to push the limits of technology using innovative solutions.
 
The successful candidate will join Xilinx R&D team developing high performance FPGA-based intellectual property to address the needs of state-of-the-art data center solutions. This position focuses on designing algorithm and infrastructure for high performance FPGA accelerator. You will architect and design the acceleration solution working with well-known software stacks in the area of Data Base Acceleration, Big Data infrastructure, and predictive analytics acceleration in scale-out solutions.
 
You will work on projects critical to Xilinx's growth. You are versatile, display leadership qualities and are enthusiastic to tackle new problems across the full-stack as we continue to push technology forward. Most of all, you are driven to find creative solutions where solutions may not exist yet.
 
Responsibilities:
  • Work at multiple layers of the application including standalone and cluster applications (e.g., Databases such as Postgres, Big data framework like Hadoop & Spark, Query Acceleration, Key-Store database)
  • Work closely with kernel developers, software developers and data center customers to build FPGA-accelerated solutions
  • Develop efficient FPGA libraries using HLS design tools or RTL language such as Verilog
 

Minimum Qualifications

  • Experience with software development using C/C++ type of language
  • Solid foundation in logic design, hardware architectures, system level tradeoffs in a SoC type design environments with strong analytical and debugging skills
  • Experience design methodology from hardware to application

Education:

  • BS in EE/CS +9 years, or MS in EE/CS +7 years or PhD in EE/CS +3 years of relevant experience.
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