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.

About Us:
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. We’re creating advanced teleoperation systems to control and monitor robots as well as developing the systems to run them autonomously.

This is an invitation to apply for an internship position for Summer 2026. There’s a lot of work that we do across MULTIPLE fields so if any of the following sounds like something you’d like to work on, we’d love for you to apply.

• Develop low-latency, user friendly teleoperation systems that allow for smooth, functional control.
• Test robotic applications using ROS on Ubuntu Linux and NVIDIA Jetson platforms
• Improve existing mechanical systems through thoughtful and ergonomic design with enhanced actuation
• Work on AI solutions for robot learning problems and autonomous work within warehouse applications.
• Collaborate with a multidisciplinary team to integrate hardware, software, and control systems

Depending on what you work on, the following skills and experiences would be tremendously useful.

• Proficiency in Python and C++ for robotics or embedded systems development
• Understanding of electromechanical systems, including motors, motor controllers, and actuators
• Familiarity with prototyping methods, including 3D printing
• Experience in behavior cloning and reinforcement learning on robot platforms.

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.