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.
The US yearly salary range for this role is: $133,650 - $222,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.
Perks/Benefits:
Waabi provides a competitive benefits package that includes:
Competitive compensation and equity awards.
Health and Wellness benefits that include Medical, Vision and Dental coverage.
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events.
As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.