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... - Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams. - Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation. - Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies. - Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs. - Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline. - Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs. - Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V). - Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees