The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
Role: Software Developer - Infrastructure Solutions
Location: Waukesha, WI
Duration: Long Term
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.
Following supporting details have been identified for this position.
• 5+ 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.