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PlusAI is seeking a Software Verification & Validation Engineer to build and run simulation test suites for autonomous driving software. You will define safety and comfort metrics and trace failures back to the responsible module, ensuring regression-free releases.
The role emphasizes Python scripting, hands-on simulation or test automation, and comfort with CI pipelines and statistical reporting to scale AI-driven validation practices.
This role builds and runs simulation test suites for autonomous driving software, defines measurable safety and comfort metrics, and traces failures back to the module that caused them. A strong candidate brings solid Python scripting, hands on simulation or test automation work, and the judgment to tell a real software regression from a simulation artifact. Comfort with CI pipelines and statistical reporting rounds it out.
How it fits the AI era
The work sits close to the AI itself: simulation is how autonomous driving models get stress tested at scale before real roads. AI speeds up test generation and log analysis, but deciding what counts as safe, comfortable, or a genuine regression stays a human judgment call. The role is largely about turning that judgment into objective, repeatable checks.
How it builds AI experience
The job offers direct exposure to validating perception, prediction, planning, and control models, which is core AI validation practice. Building this means getting fluent in simulation tooling, metric design, and root cause analysis on large model outputs. Familiarity with how autonomous driving stacks are structured helps, since the company builds virtual driver software for factory built trucks.
Worth showing
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.
PlusAI develops AI-based virtual driver software for factory-built autonomous trucks, per the company.