Staff Systems Engineer Safety Methodologies

Waabi is a Physical AI company developing autonomous-driving technology for trucks and robotaxis.

Toronto, Canada
About Waabi

Founded in 2021 by Raquel Urtasun, Waabi develops a verifiable end-to-end AI model and neural simulation technology for autonomous transportation. Its current platform supports autonomous trucking and an expansion into robotaxis.

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Skills

About the Role

You will develop safety datasets for simulation and track testing, build feedback loops from road monitoring, and refine test coverage. You will validate safety-evaluation pipelines, create traceable safety artifacts for readiness decisions, and mentor peers on technical excellence and collaboration.

Requirements

  • Undergraduate degree in an engineering discipline
  • At least 7 years of automotive, robotics, or closely related industry experience
  • Simulation and real-world testing for readiness decisions
  • Python and SQL
  • Data analysis and statistics
  • Autonomous-vehicle safety cases
  • Technical communication

Responsibilities

  • Develop safety datasets for simulation and closed-course track testing
  • Establish feedback loops from road monitoring and safety events
  • Expand and refine test coverage
  • Validate and optimize safety-evaluation pipelines
  • Conduct comparative analyses of safety frameworks and benchmarks
  • Create structured and traceable safety artifacts
  • Mentor peers and foster technical collaboration

Benefits

  • Equity awards
  • Medical, vision, and dental coverage
  • Unlimited vacation
  • Flexible hours
  • Work-from-home support
  • Daily drinks, snacks, and catered meals when in the office
  • Team-building activities and social events
Staff Systems Engineer Safety Methodologies at Waabi | JobStash