Originally published on AI Tech Connect.
What physical AI actually is, and who this suits Physical AI is the work of putting learned models inside machines that move. Not chat, not retrieval, not a service behind an API — a body, sensors, actuators, and a control loop that must produce an answer before the next tick whether or not the model is confident. As of July 2026, such roles are reported among the most in-demand technical positions of the year, against a stated talent shortage. Underneath the label are four genuinely different job families. Robotics software engineering is the systems layer: nodes, middleware, drivers, the thing that keeps a fleet running. Perception and sensing turns camera, depth and inertial data into an environmental understanding a planner can use, and is among the highest-paid specialities in the…
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