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42dot is looking for a VLA for Physical AI to bridge visual perception, scene context, and driving actions for robust autonomous driving. The role focuses on advancing planning, decision-making, and action generation using VLA-style modeling with strong emphasis on production deployment and on-vehicle execution. The hiring process involves application screening, a coding test, and multiple interviews. Additional information regarding document submission, the recruitment process, and veteran/disability considerations is provided.
At 42dot, we build multimodal driving models that connect visual perception, scene context, and driving actions to enable robust autonomous driving behavior.
Our goal is to advance planning, decision-making, and action generation in real-world driving environments by leveraging VLA-style modeling approaches that incorporate prior knowledge for improved generalization, with a strong focus on production deployment and on-vehicle execution.
Please do not include legally prohibited information in your application (e.g., ID number, family relations, marital status, salary, photo, physical details, hometown).
A reference check may be conducted after the interview process, with your consent.