Robotics RL Navigation Internship

ANYbotics; Zürich; Vor Ort; CHF 30.466 - 36.493; Vollzeit

Benefits dieser Stelle

Mentorship from industry experts

Hands-on robotics experience

Future full-time opportunities

Zusammenfassung

ANYbotics is seeking an intern in Reinforcement Learning for Robotic Navigation to join the Advanced Technology team in Zurich. You will define, train, and integrate RL models into the ANYmal platform to enable robust autonomous navigation in industrial environments.

You will work with robotics experts, gain hands-on experience on real quadruped robots, and contribute to simulation and testing pipelines. The role emphasizes collaboration, curiosity, and a proactive approach, with a six-month,

Qualifikationen

• Currently enrolled in a Bachelor's, Master's, or PhD in a robotics, CS, or related field.
• Solid knowledge in mobile robotics concepts like control theory, ML, or CV.
• Programming skills in Python and/or C++ with modern C++ emphasis.

Aufgaben

• Collaborate with engineers on projects across the software stack from app to autonomy.
• Design, implement, test, and validate new algorithms in core software areas.
• Improve testing infrastructure, simulation environments, and CI/CD for the ANYmal platform.
• Write clean, real-time C++/Python code and contribute to simulation tooling.

Kenntnisse

Python

C++

Git

Docker

ROS/ROS 2

Machine Learning

Ausbildung

Bachelor's / Master's / PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, Mechatronics, or related field

Tools

ROS2 tooling

Cursor

GitHub Copilot

Jobbeschreibung

ANYbotics is seeking an intern in Reinforcement Learning for Robotic Navigation to join the Advanced Technology team in Zurich. You will define, train, and integrate RL models into the ANYmal platform to enable robust autonomous navigation in industrial environments.

You will work with robotics experts, gain hands-on experience on real quadruped robots, and contribute to simulation and testing pipelines. The role emphasizes collaboration, curiosity, and a proactive approach, with a six-month,