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Salary: USD 200,000 - 256,000 / annual
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI and is unlocking the next era of autonomous transportation with 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.
This role is central to Waabi's mission of ensuring safety in autonomous systems. You will spearhead the development and implementation of critical safety framework methods that underpin driverless autonomy readiness decisions. Working with a highly realistic simulator, real-world data, and cutting-edge generative AI techniques, you will shape how Waabi quantitatively ensures and validates the safety of its autonomous trucking solution.
Key responsibilities include:
- Informing driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing
- Establishing and managing a robust feedback loop from on-road monitoring and safety-relevant events to continuously expand and refine test coverage
- Validating and optimizing safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria
- Owning the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence
- Mentoring peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams
This is a unique opportunity to shape safety validation in a rapidly evolving and groundbreaking field, working with a world-class team committed to positive impact.
REQUIREMENTS:
- Undergraduate degree required; Master's or PhD in an engineering discipline preferred
- 7+ years of automotive, robotics, or closely related industry experience
- Experience using simulation and real-world testing to make readiness decisions
- Excellent scripting and data analysis skills (Python, SQL) and solid foundation in statistics
- Experience building a strong safety case for autonomous vehicles
- Ability to communicate complex concepts or data in a simple-yet-accurate manner
- Collaborative team player who works effectively across functional boundaries, driving evidence-backed decisions
- Passionate about autonomy, solving hard problems, and creating innovative solutions
BONUS QUALIFICATIONS:
- Experience launching a driverless product
- Experience implementing software systems components
- Experience building software systems from scratch
- Experience in machine learning
- Proficiency with data mining and advanced statistical analysis
