Control System Integration Engineer
Pubblicato il 25-10-2026 - present of AI in Italia
A Robotics Integration Engineer typically takes software and algorithms from research teams and makes them run reliably on real robot hardware. A strong candidate brings hands on integration work across sensors, controllers and embedded systems, plus the patience to debug in the physical world. At a firmware security company, that means getting security and runtime monitoring to work on connected and physical AI devices without breaking how the robot behaves. How it fits the AI era AI is moving more decision making onto robots and connected devices, so integration work now includes wiring models and perception into hardware that must stay safe and predictable. The human part stays the same: judging what happens on a real machine, testing edge cases, and deciding when a system is trustworthy. Security on the device itself becomes more important as more intelligence sits at the edge.
How it builds AI experience This role builds practical AI experience by deploying models and algorithms onto real robots and seeing how they fail outside a lab. It also grows skills in embedded and firmware level work, which is where runtime security for physical AI lives. Building small robot projects that combine perception with device level monitoring is a good way to prepare. Robot hardware integration Embedded systems debugging Sensor and controller setup 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. Exein embeds runtime security directly into firmware for connected devices and Physical AI systems, per the company.