Develop and implement software solutions in C++ and Unreal Engine to support real-time light estimation., Utilize and optimize CUDA and GPU computing techniques to maximize real-time performance and improve the efficiency of rendering algorithms., Incorporate TensorFlow and PyTorch to develop machine learning models aimed at enhancing light estimation and real-time rendering capabilities., Develop and optimize shaders and rendering techniques suitable for realistic shadows, reflections, and dynamic light sources., Integrate advanced rendering techniques to ensure seamless and realistic integration of virtual set extensions into real environments., Implement and optimize image processing algorithms crucial for direct and indirect light capture, as well as the processing of real-time HDRI maps and inverse rendering., Use TensorFlow and PyTorch to build deep learning models in order to improve image processing tasks, such as denoising, upscaling, inverse rendering, and real-time lighting adjustments based on environmental changes., Collaborate with the VFX team to integrate lighting techniques into Unreal Engine., Work on the integration of machine learning models developed in TensorFlow and PyTorch into Unreal Engine workflows., Work closely with the Technical Director and other developers to ensure that complex technical and visual requirements are met.
