First-level areas：Materials, new materials
First-level areas：Nanomaterials
Source：Social Recruitment
Job description ：
The embedded AI solution based on ARM+FPGA can provide powerful computing power, support customized models, adapt to various scenarios, and greatly improve the AI inference capability of devices. It has the characteristics of high performance, high versatility, and easy integration.
Job requirements.

1. Have obtained a doctoral degree in mathematics, computer science, communication and other related majors from well-known universities and research institutes at home and abroad (awarded within 3 years) or a recent doctoral graduate (who has met the requirements for thesis defense).
2. Have good English communication and writing skills.
3. Familiar with the characteristics of Xilinx FPGA chips, proficient in using Verilog HDL language, and proficient in FPGA logic development process;
4. Proficient in using XILINX FPGA ZYNQ MPSOC hardware platform, able to independently complete RTL design, simulation, debugging, and verification work for module level tasks;
5. Proficient in implementing basic image algorithms based on FPGA;
6. Proficient in FPGA algorithms based on HLS implementation.
7. Familiar with C/C++, proficient in common skills such as Makefile, Shell, GCC GDB, etc;
8. Proficient in using QT for application layer software development, UI interface development, and embedded algorithm porting;
9. Familiar with driver programming under Linux;
10. Master the development experience of ZYNQ/ZYNQMP (PS end), HiSilicon, and Ruixin microchips.

Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: ‘Name + Position + Company Name + Location’.