Software Engineer

JD

Expert Software Engineer worked on OpenCL, Understand the GPU architecture. Should be able to work on image reconstruction algorithms (adopting MatLab algorithms to GPU), automation testing, performance testing.



In addition, following information may help.

4+ years of experience in GPU computing, with a focus on performance optimization and parallel programming

The ideal candidate will possess an in-depth understanding of parallel computing concepts,

experience with OpenCL’s execution model and memory hierarchy, and the ability to optimize code for high-performance execution across various computing devices.

Proficiency in GPU programming languages such as CUDA

Strong understanding of computer architecture, memory systems, and parallel algorithms

This project requires a mix of technical expertise in cryptography, parallel computing, and efficient data handling.

Strong communication skills and ability to work effectively in a collaborative team environment.

Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight is plus.

Testing of system



OpenCL, CUDA is optional, OneAPI is nice to have.