Dominik Notz is a seasoned Staff Software Engineer and Tech Lead at Waymo Research, where he plays a pivotal role in advancing the field of autonomous driving through innovative machine learning techniques. With a robust background in deep learning and robotics, Dominik leads the closed-loop...
Dominik Notz is a seasoned Staff Software Engineer and Tech Lead at Waymo Research, where he plays a pivotal role in advancing the field of autonomous driving through innovative machine learning techniques. With a robust background in deep learning and robotics, Dominik leads the closed-loop training of simulation agent and planner models, a critical component in refining the decision-making capabilities of autonomous vehicles. His expertise in Python and C++ allows him to develop and optimize complex algorithms that enhance the performance and reliability of Waymo's self-driving technology.
At Waymo, Dominik is at the forefront of integrating advanced simulation environments with real-world data, ensuring that the models not only perform well in controlled settings but are also robust enough to handle the unpredictability of real-world driving scenarios. His work involves leveraging TensorFlow for deep learning applications, which facilitates the training of neural networks that underpin the vehicle's perception and planning systems. Additionally, his proficiency with ROS (Robot Operating System) and Linux enables seamless collaboration across multidisciplinary teams, fostering an environment where cutting-edge research can translate into practical solutions.
Dominik's commitment to pushing the boundaries of autonomous technology is evident in his involvement in key projects that focus on improving the safety and efficiency of self-driving systems. His ability to bridge the gap between theoretical research and practical application makes him an invaluable asset to Waymo, as he continues to contribute to the evolution of autonomous driving, ultimately shaping the future of transportation.
