The CUDA Kernel Optimization Specialist role focuses on analyzing and optimizing GPU kernels to enhance performance and efficiency. Key responsibilities include writing and modifying code in C++17 and Python, applying expertise in CUDA and HIP programming, and documenting optimization decisions. Candidates should possess at least one year of experience with GPUs and a strong understanding of performance metrics for kernel optimization.