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… - Quickly identify and diagnose issues that arise during vehicle testing and on-road operations. - Utilize deep technical knowledge of both hardware and software to address failures and anomalies. - Implement documented temporary fixes or workarounds to keep vehicles operational while permanent solutions are developed. - Ensure that every applied workaround maintains safety and performance standards. - Rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems. - Provide detailed reports that include reproduction steps, diagnostic data, and recommended actions. - Collaborate with cross-functional teams—spanning software, hardware, and operations—to conduct thorough root cause analyses on recurring issues. - Translate technical data and observations into actionable insights for long-term system improvements. - Recommend and implement process improvements and preventive measures to enhance overall vehicle reliability. - Participate in both pre-test and post-test evaluations, ensuring vehicles are test-ready and that any issues are promptly addressed. - Serve as the technical point of contact during vehicle testing - Identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency. - Experience with continuous improvement (e.g., Lean, Six Sigma) and Root Cause Analysis (RCA) methodologies. Experience with established methodologies (e.g., 5 Whys, Fishbone diagrams, Fault Tree Analysis, or FMEA) to support the responsibility of conducting thorough root cause analyses on recurring issues. - Functional Safety or Reliability Standards Experience in order to maintain vehicle uptime and safety. Experience maintaining and managing automotive safety standards (e.g., ISO 26262, UL 4600), hardware reliability standards, and/or formal quality management systems would be beneficial. - Travel required 10% Qualifications: - 5+ years of hands-on experience in automotive, robotics, aerospace, or a related industry with a focus on troubleshooting complex vehicle systems. - Proficient with Linux-based systems and command-line diagnostics. - Solid understanding of computer networking fundamentals. - Experienced in CAN bus diagnostics and the use of automotive diagnostic tools. - Strong data analysis capabilities with familiarity in using spreadsheets or scripting languages - Excellent written and verbal communication skills, with a proven ability to document technical issues clearly and work collaboratively with multidisciplinary teams. - Bachelor’s degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience.