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Mbodi AI is seeking a robotics software engineer to translate high-level AI task plans into precise industrial robot motion. You will work with Python and C++ on ROS2-based production systems, while tuning hardware in the field to ensure reliable, safe operation.
The role emphasizes broad systems intuition, debugging across software and hardware, and collaboration with AI and planning teams to bridge perception/planning with motion control.
This role builds the layer that turns high level AI task plans into precise, safe motion on real industrial robots. A strong candidate brings several years of hands on robotics software work in Python and C++, solid control fundamentals, and comfort tuning and commissioning hardware in the field. The job also calls for debugging across software, timing, calibration and networking, so broad systems intuition matters more than narrow specialization.
AI agents and perception systems now decide what a robot should do, and this role makes those decisions physically reliable. The work shifts toward translating intent into motion, handling latency, error recovery and real world constraints. What stays human is judgment about stability, safety and the messy behavior of hardware that no model fully captures.
The candidate would gain direct experience connecting learned policies and high level planners to robot motion and control on industrial arms. Building that bridge for an embodied AI platform is a rare skill set. To prepare, one could practice integrating perception or planning outputs with a real or simulated manipulator and tuning the execution layer around it.
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Mbodi AI builds an embodied artificial intelligence platform that enables operators to train industrial robotic manipulators using natural language and physical demonstrations.