Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
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
At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.
You will…
- Lead the development of conflict avoidance method focused on proactively preventing dangerous situations, reducing surprises to other drivers, and ensuring our vehicle does not initiate conflict
- Innovate and implement tools and processes to streamline safety validation and continuously evolve the safety method
- Define verification coverage using Waabi's simulator to verify driving behaviors, and develop quantitative metrics to evaluate system readiness against established safety targets
- Establish human performance benchmarks for robust comparative safety assessments by collaborating with engineering teams and external partners
- Identify safety gaps, recommend improvements, and ensure traceability between requirements, validation artifacts, and safety case claims
- Ensure clear, structured documentation of safety artifacts and readiness decisions to ensure transparency and traceability
- Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics or related industry experience
- Experience contributing to the development of a safety case for autonomous vehicles
- Experience with using simulation and real-world testing to make readiness decisions
- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448) and/or UL 4600
- Strong fundamentals in mathematics, engineering and physics
- Excellent data analysis skills and Python scripting skills
- Ability to communicate complex concepts or data in a simple-yet-accurate manner
- Collaborative team player who works effectively across functional boundaries
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
Bonus/nice to have:
- Experience in launching a driverless product
- Experience implementing software systems components
- Advanced skills in data mining, mathematics, and statistical analysis
The US yearly salary range for this role is: $140,000 - $190,000 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 equity incentive awards and an annual performance bonus.
