About the job
Woven by Toyota is at the forefront of transforming Toyota into a pioneering mobility company. Our mission is to challenge and redefine the conventional understanding of mobility through innovative, human-centric solutions that enhance societal well-being.
Our initiatives are built upon four key pillars: Advanced Driver Assistance Systems (ADAS), the Arene software platform for software-defined vehicles, Woven City as a mobility testing ground, and our Cloud & AI infrastructure that powers collaborative advancements. Our ultimate vision is a world with zero accidents and improved quality of life for everyone.
OUR TEAM
Join our dynamic team at Woven by Toyota, where we are revolutionizing autonomous driving through advanced Machine Learning solutions. We tackle complex challenges in neural network design, innovative architecture creation, and the advancement of machine learning techniques in perception, prediction, and motion planning. Our team is passionate about pushing the limits of autonomous systems through deep learning and optimization, particularly in intricate visual scenarios. We are looking for enthusiastic innovators who are eager to shape the future of self-driving technology.
We are currently engaged in a collaborative project with Toyota Research Institute (TRI) to develop a visual-based world model as a learned simulator for evaluating end-to-end automated driving systems. This initiative synergizes with TRI's efforts in Diffusion Policy and Large Behavior Models (LBM).
WHO WE SEEK
We are searching for a technical lead to spearhead the vision and strategy for foundational model research and development in the automated driving sector. You will play a crucial role in bridging research initiatives with production programs, requiring exceptional communication skills and a collaborative mindset to navigate the Woven and TRI partnership. The ideal candidate will possess extensive technical knowledge of cutting-edge robotics and autonomous driving methodologies, enabling them to define a clear vision and scope for long-term open research endeavors.
