Staff Systems Engineer - Safety Methodologies

Team: Safety

Location: Remote US & Canada, Dallas, TX, Phoenix, AZ, Pittsburgh, PA, San Francisco, CA, Toronto, ON

Commitment: Full-time

Workplace Type: hybrid

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

• 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.

• 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!