• The primary responsibility of this role will be to lead the effort in optimizing HIP kernels on AMD GPUs
• The main task will be to help optimize HIP kernels for specific AMD hardware
• Collaborate with development teams to optimize and enhance GPU-accelerated applications
• Debug, profile, and fine-tune code for performance improvements

Stay updated with the latest advancements in GPU architectures and programming models

• The candidate should possess a strong background in GPU computing, parallel programming, and a deep understanding of CUDA or HIP frameworks
• Proficiency with C++ and low-level programming (at least C++ 17)
• Proficiency in CUDA or HIP / ROCm programming
• Solid understanding of GPU architectures, parallel programming models, and optimization techniques
• Strong problem-solving skills and the ability to work in a collaborative environment
• Experience with AI/ML/DL/NN/NLP/Computer Vision
• Python
• Linux

GPU Assembler