Develop deep learning systems that can operate in cloud, edge, and hybrid environments, optimizing inference latency, GPU utilization, memory consumption, and throughput while balancing accuracy, cost, and maintainability. A master's degree or higher in computer science, computer engineering, electrical engineering, machine learning, artificial intelligence, robotics, or a closely related technical discipline.