This role centers on building and proving out humanoid hardware, especially hands, arms, and the small motor and sensor assemblies inside them. A robust candidate has spent years assembling, calibrating, and debugging complex electromechanical systems by hand, and has also run groups of technicians and engineers through fast build and test cycles. The job blends direct bench work with planning, mentoring, and setting up repeatable processes for turning early designs into working, tested prototypes.
How it fits the AI eraThe AI side of this company, its KinetIQ framework, depends on hardware that behaves predictably, so much of the work is making physical systems reliable enough for software to control well. AI tools may speed up documentation, test analysis, and design iteration, but the judgment calls in assembly, calibration, and failure diagnosis stay with the engineer. The role is a bridge between clever models and parts that actually move.




How it builds AI experienceWorking here means seeing how an AI control framework meets real robot hardware, which builds intuition for where sensing and actuation limits show up. A candidate can strengthen this by getting hands on with sensor calibration, actuator tuning, and test data from robotic mechanisms, and by learning how control software talks to hardware over buses like CAN or EtherCAT. Experience with scripted test setups or data logging for hardware validation would help.
Worth showingActuator and sensor calibrationLeading technician teamsPrototyping process buildingThis 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.
About HumanoidHumanoid builds humanoid robots for industrial work, paired with its KinetIQ AI framework (per the company).
Tools mentioned: robotics, Python, embedded systems
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📌 Senior Prototype Engineer (Winnipeg)
🏢 present of AI
📍 Winnipeg