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The intern will design and implement control systems for robotic hands, focusing on dynamics, kinematics, and modern control techniques, contributing directly to milestone projects.

Develop, maintain, and optimize embedded systems for humanoid robots, focusing on hardware-software integration, PCB design, and AI-driven control.

Develop, optimize, and maintain embedded systems for humanoid robots, focusing on seamless hardware and software integration and AI-driven control strategies.

Lead the development of embedded systems for autonomous vehicles, integrating sensors, software, and hardware while ensuring safety and performance standards.

As a Mechanical Engineer Intern, you will design and analyze mechanical components for robotic hands, focusing on kinematics, materials, and tolerance analysis, using CAD software and basic FEA techniques.

Design and optimize reinforcement learning algorithms for robot control, integrate policies into robot platforms, and collaborate across teams for hardware-software integration.