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Senior AI Toolchain Engineer

Beijing Shi, China, China
Nov 17, 2021


Job 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.

Roles and Responsibilities:

As AI toolchain software engineer, developing the toolchain for Xilinx’s FPGA and ACAP based AI accelerator, mainly involving the AI compiler. And working together with Algorithm team, Quantization team and IP design team to optimize the functionality and performance of AI accelerator. Meanwhile, you’ll have chance to learn a lot about AI algorithm optimization and hardware acceleration.

Required Skills and Experiences:

  1. Good programming ability in C++ and Python
  2. Familiar with some popular development tools, e.g. git, cmake, make, conda or docker
  3. Basic knowledge about data structure and algorithm, algorithm optimization, image processing, neural network, computer architecture
  4. Experience on compiler development is preferred, e.g. LLVM
  5. Experience on AI framework development or operator implementation is preferred
  6. Experience on open source community is an advantage
  7. Experience on FPGA/IP design and verification is an advantage
  8. Experience on GPU programming is an advantage
  9. Experience on CI/CD system development is an advantage
  10. 3-5 years of related working experiences is preferred

Education Requirements:

BS/MS in EE/CS or other related majors

Refer to the Talent Network

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