Waabi is a Toronto-based Physical AI company developing a single, verifiable AI brain and neural simulator for autonomous trucks and robotaxis.
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai You will... - Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios. - Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles. Qualifications: - MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making). - Production-quality coding skill in Python or C++. - Solid problem solving skills using linear algebra, geometry, statistics & probability. - Ability to rapidly prototype and test new algorithms. - Open-minded and collaborative team player with the willingness to help others. - Able to maintain progress towards long-term goals while working on short-term problems. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: - Experience working in self-driving field. - Experience in optimization.