Platform Systems Engineer; Motion Planning and Control

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: [](http://www.waabi.ai) **You will...** - Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD). - Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract. - Create methods and use physical and simulated data to inform and verify principled requirements Advance VD simulation in AVs. **Qualifications:** - Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control. - Strong physics and control systems knowledge. - Knowledge of Systems Engineering and Verification and Validation (V&V) best practices. - Knowledge of functional safety standards (i.e. ISO 26262). - Comprehensive coding skills in Python, or other common programming languages. - Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors). - Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system. - Experience in VD simulation (use) and VD tools development (build). **Bonus:** - Applied and proven experience in building end to end motion planning and control systems systems. - Commercial trucking actuator system and truck dynamics and control. - Applied and proven experience of optimal control systems. - A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. - Coding in Rust and using build and test automation tools.