Responsibilities:

1. Responsible for xilinx, intel FPGA deep learning platform design;

2. Responsible for the implementation of various deep learning algorithms on the FPGA;

3. Responsible for tracking the cutting-edge technology of FPGA  accelerated computing.

Job requirements:

1. Computer science, electronic engineering, microelectronics, information engineering, etc., Bachelor degree or above, 3 years of work experience or above;

2. Have deep learning algorithms in FPGA implementation experience;

3. Proficiency in the use of xilinx and intel FPGA development tools, proficient in FPGA development technology;

4. Experience in developing large and complete FPGA projects with prioritized product release experience;

5. Familiar with PCIe, DDR3 / DDR4, AXI, CAPI and other interface / bus standards are preferred;

6. Experience with FPGA-based accelerated design is preferred.

*Candidates with less experience will be considered as FPGA Engineer.