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...
- Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and closed-course track testing.
- Establish and manage a robust feedback loop from on-road monitoring and safety relevant events to continuously expand and refine test coverage.
- Validate and optimize safety evaluation pipelines by conducting comparative analyses on core safety frameworks and benchmark criteria to continuously evolve our safety frameworks.
- Own the creation of clear and structured safety artifacts, ensuring all readiness decisions are transparent and fully traceable to validation evidence.
- Mentor peers by fostering a culture of technical excellence and driving clear, constructive collaboration between teams.
- Undergrad required; Masters or PhD within an engineering discipline preferred.
- 7+ years of automotive, robotics or closely related industry experience.
- Experience with using simulation and real-world testing to make readiness decisions.
- Excellent scripting and data analysis skills (Python, SQL), and a solid foundation in statistics.
- Experience with 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.
- Experience in 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.