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Own the controls and learning stack for a high-DOF tendon-driven robotic hand: low-level motor control, actuator coordination, sensor integration, end-to-end RL for grasping (sim-to-real), and tooling/testing for deployment on physical hardware.

Lead software bring-up and integration for robot hardware, develop and maintain automated and HIL test frameworks, validate firmware/middleware/control modules, execute functional/performance tests across robotic subsystems, and collaborate with mechanical, electrical, and software teams to debug and document procedures for continuous testing and deployment.

Develop and run comprehensive test plans and automated test frameworks for humanoid robots and subsystems. Perform functional, regression, stress, HIL and field testing; troubleshoot and document defects; collaborate with mechanical, electrical, software, and AI teams; ensure safety standard compliance; and maintain test infrastructure, benches, simulations, and records to improve product reliability.

Lead technical evaluations for custom inference chips in robotics, analyze bottlenecks, define architecture, and guide RTL prototyping while delivering reports with strategic recommendations.

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.

The AI Engineer will develop custom SLAM systems for humanoid robots, ensuring accurate localization and mapping in dynamic environments, leveraging C++ and Python.

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.