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Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI and is transforming autonomous transportation with cutting-edge technology powering commercial autonomous trucks and robotaxis. The company is backed by world leaders in AI, automotive, logistics, and deep tech, with offices in Toronto, San Francisco, Dallas, and Pittsburgh.
As a Vehicle Reliability Engineer, you will be the technical backbone of vehicle testing and on-road operations. Your core responsibilities include rapidly identifying and diagnosing issues that arise during testing, leveraging deep technical knowledge of both hardware and software systems to address failures and anomalies. You will implement documented temporary fixes and workarounds to maintain vehicle operability while permanent solutions are developed, always ensuring safety and performance standards are upheld.
You will rigorously log, track, and document all vehicle issues using robust diagnostic and issue-tracking systems, providing detailed reports that include reproduction steps, diagnostic data, and recommended actions. Collaboration is central to this role—you will work across software, hardware, and operations teams to conduct thorough root cause analyses on recurring issues, translating technical data into actionable insights for long-term system improvements.
Additional responsibilities include recommending and implementing process improvements and preventive measures to enhance vehicle reliability, participating in pre-test and post-test evaluations, and serving as the technical point of contact during vehicle testing. You will identify opportunities to streamline troubleshooting protocols, automate diagnostic routines, and improve data capture methods to boost operational efficiency.
Required qualifications include 5+ years of hands-on experience in automotive, robotics, aerospace, or related industries with a focus on troubleshooting complex vehicle systems. You must be proficient with Linux-based systems and command-line diagnostics, have solid understanding of computer networking fundamentals, and be experienced in CAN bus diagnostics and automotive diagnostic tools. Strong data analysis capabilities with familiarity in spreadsheets or scripting languages are essential. A Bachelor's degree in Mechanical, Electrical, or Computer Engineering (or related field) or equivalent hands-on experience is required.
Experience with continuous improvement methodologies (Lean, Six Sigma) and Root Cause Analysis techniques (5 Whys, Fishbone diagrams, Fault Tree Analysis, FMEA) is highly valued. Familiarity with automotive safety standards (ISO 26262, UL 4600), hardware reliability standards, and formal quality management systems is beneficial. The role requires excellent written and verbal communication skills and the ability to work collaboratively with multidisciplinary teams. Travel of approximately 10% is required.
