Changyi Guangke (Suzhou) Technology Co., Ltd.

Changyi Guangke, headquartered in the Suzhou Industrial Park of the China (Jiangsu) Pilot Free Trade Zone, maintains branch offices in Xi’an and Qingdao. As a high-tech enterprise specializing in micro‑ and nano‑scale optical imaging and the R&D and manufacturing of advanced optical instruments, Changyi Guangke is one of the few domestic manufacturers that independently develops software, hardware, and underlying components across the entire technology stack.

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FPGA

Price negotiable

Minimum education level:

Undergraduate

Number of positions available:

1

Experience requirements:

Unlimited


  Job Responsibilities

  1. Responsible for FPGA-based design and architectural planning of image processing algorithms;

  2. Responsible for the FPGA implementation of core image-processing algorithms;

  3. Collaborate with algorithm, hardware, and software engineers to conduct testing and joint debugging of relevant modules.

  Job Requirements

  1. Bachelor’s degree or higher, with at least 3 years of relevant work experience; major in electronics, communications, automation, computer science, or a related field.

  2. Familiar with the FPGA development workflow, proficient in at least one FPGA architecture (Xilinx/Altera), and candidates with experience in Xilinx HLS-based development and verification of image-processing algorithms will be given priority.

  3. Proficient in Verilog and VHDL, with solid experience in Verilog-based digital circuit design and programming.

  4. Familiar with the XILINX ZYNQ7000/MPSOC platform, proficient in basic Linux operations, and capable of Linux system porting; candidates with embedded driver development experience will be given priority.

  4. Possesses a solid foundation in image processing algorithms and has completed specific signal processing or image‑processing projects on an FPGA.

  5. Familiarity with common integrated digital circuit interface modules (e.g., DDR3, ADC, PCIe, LVDS interface circuits, etc.);

  6. Prioritization will be given to candidates with FPGA-based image processing experience and experience in parallel computing technologies such as OpenCV and CUDA.