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Waabi, a Toronto-based company building self-driving trucks and robotaxis, is seeking a systems engineer focused on behavior verification. The role emphasizes turning vague behavioral questions into clear, testable requirements and creating checks and evidence within its AI-generated simulator to prove the behavior holds.
The position offers hands-on experience with simulation-driven verification, scenario design, and evaluating AI behavior at scale, ideal for those wanting to learn testing
A systems engineer in behavior verification typically needs to turn fuzzy questions about how a system should behave into clear, testable requirements, then build the checks and evidence that show the behavior holds. A strong candidate brings systems thinking, careful test design, and comfort working with simulation and data. At a company training self driving trucks and robotaxis largely in its own AI generated simulator, that means proving behavior inside simulated worlds rather than only on real roads.
AI makes it cheap to generate huge numbers of simulated scenarios, so the hard part shifts to deciding which behaviors matter and whether the evidence is trustworthy. Judgment about what counts as safe and correct behavior stays human, as does the discipline of designing checks that cannot be gamed. The role sits close to that line between machine scale and human rigor.
This role builds hands on experience with simulation driven verification, scenario design, and evaluating AI behavior at scale. It suits people who want to learn how to test learned systems rather than only hand written code. Building familiarity with simulation tooling and evidence based validation is the practical path in.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
A Toronto company training self-driving trucks and robotaxis mostly inside its own AI-generated simulator, rather than by racking up millions of real road miles.