A CUDA Developer utilizes NVIDIA's CUDA parallel computing platform and API to leverage the power of GPUs (Graphics Processing Units) for non-graphical tasks. They design and implement algorithms and applications that solve complex computational problems more efficiently. This involves writing, optimizing and debugging CUDA C/C++ code, managing memory and resources within GPU architectures, and integrating GPU-accelerated applications with existing software. They also measure and improve computational performance, and often collaborate with other developers and researchers to develop new techniques or tools for GPU computing. Their work is crucial in areas like machine learning, scientific computing, and image processing.