Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
Publishing your original research.
Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
Transferring technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
Relevant research experience in the field of vehicle / robot autonomy.
Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.