Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs. Our approach is building robot foundation models to enable off the shelf robots to do these tasks autonomously. To train these models, we're building our own teleoperation system in house. Finally, there's a whole stack of classical robotics and integration work to make our systems work in the real world . Learning constantly and keeping up with SOTA research is one of the pillars of our company's culture. The company was founded by MIT students and has raised seed funding after graduating from the YC W24 batch. Join us in shaping the way the world works.

We are seeking a Mechatronics Intern to help upgrade ULTRON- our humanoid teleoperation system.

As an intern, you will:

• Develop software for a real-time teleoperation system using Python and C++
• Integrate cameras, sensors, and embedded hardware using various communication protocols
• Assist with electrical work, including wiring, circuit integration, and power system setup
• Deploy and test robotic applications using ROS on Ubuntu Linux and NVIDIA Jetson platforms
• Build, containerize, and manage development environments with Docker
• Collaborate with a multidisciplinary team to integrate hardware, software, and control systems

What We’re Looking For:

• Familiarity with integrating sensors, cameras, and hardware interfaces (USB, I2C, UART, CAN, etc.)
• Proficiency in Python and C++ for robotics or embedded systems development
• Understanding of electromechanical systems, including motors, motor controllers, and actuators
• Comfortable working with ROS, Linux (Ubuntu), and Docker
• Hands-on experience with system testing, troubleshooting, and hardware bring-up
• Experience with humanoid robots and robot arms is a plus
• Teleoperation visualization skills in rendering or VR are a plus
• Exposure to microcontrollers and embedded platforms (e.g., NVIDIA Jetson) is a plus

Our approach is building robot foundation models to enable off the shelf robots to do these tasks autonomously. To train these models, we're building our own teleoperation system in house. Finally, there's a whole stack of classical robotics and integration work to make our systems work in the real world . Learning constantly and keeping up with SOTA research is one of the pillars of our company's culture.