Platform Verification Engineer - Embedded Systems

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

A strong focus will be on:

• Creating verification plans for complex embedded systems based on requirements.
• Developing and maintaining test infrastructure including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) tooling.

Automated test execution and reporting

You will…

• Act as the central point of contact for verification of embedded platform components (including embedded compute, power management, application specific ECUs, actuators) against system requirements.
• Play a leading role in defining embedded test methodologies at Waabi.
• Design and document tests to verify full system functionality and  performance in line with company milestones.
• Implement tools and methodologies to streamline and automate the Waabi platform verification processes.
• Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system.
• Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems.

Qualifications

• Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
• Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics.
• Knowledge of the typical autonomous vehicle stack.
• Deep experience with HIL environments and production-grade embedded systems testing.
• Experience with executing complex test campaigns.
• Experience with functional safety, i.e. ISO 26262.
• Strong fundamentals in mathematics, engineering and physics.
• Excellent data analysis skills with modern tools such as Python or Matlab.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Bonus/nice to have:

• A working knowledge of vehicle systems.
• Experience developing and launching products in the autonomous vehicle or robotics industries.
• Proficiency with data mining, mathematics, and statistical analysis.