Internship : Robotics & Physical AI

MESH - Robotic Construction; Birr; On-site; CHF 20,000 - 29,000; Full time

Job summary

MESH - Robotic Construction is seeking an Robotics & Physical AI Intern in Switzerland. You will contribute to intelligent robotic systems for perception, planning, and action in complex industrial environments.

Join a multidisciplinary team and gain hands-on experience with industrial robots, 3D sensing, and modern AI frameworks while shaping the internship around your interests.

Qualifications

• Pursuing a Master's or PhD in Robotics, Computer Science, AI, Electrical Engineering, or a related field.
• Strong programming skills in Python and/or C++.
• Familiarity with Linux and Git.

Responsibilities

• Develop AI-powered robotic systems for real industrial production environments.
• Work on perception, planning, and robot learning technologies for autonomous manipulation.
• Gain hands-on experience with industrial robots and 3D sensing.
• Collaborate with an international, multidisciplinary engineering team.
• Shape the internship around your interests while contributing to safety and efficiency.

Skills

Python

C++

Linux

Git

Education

Master's or PhD in Robotics/Computer Science/AI

Tools

ROS

MoveIt

Gazebo

PyTorch

OpenCV

Job description

Build the next generation of autonomous construction robotics

At MESH, we're developing autonomous robotic systems that automate the planning, handling, and assembly of reinforcement for the construction industry. Our multidisciplinary team spans robotics, AI, software, mechanical engineering, and digital fabrication, turning cutting-edge research into industrial products deployed on construction projects worldwide.

Tasks

As industrial robots become increasingly autonomous, perception, data, and AI are transforming how they understand and interact with the physical world. As a Robotics & Physical AI Intern, you will contribute to the development of intelligent robotic systems capable of perceiving, planning, and acting in complex industrial environments. You will work on one or more of the following projects:

• Multi-sensor calibration and robot perception
• Point cloud processing, geometry processing, and 3D scene understanding
• Foundation models and Vision-Language-Action (VLA) systems
• Robotic grasping and manipulation
• Motion planning and trajectory optimization
• Reinforcement learning and imitation learning
• Robot simulation using Isaac Sim, MuJoCo, or Gazebo
• Data collection, annotation, and evaluation
• Deployment and integration of AI models with industrial robotic systems

Requirements

Required qualifications

• Currently pursuing a Master's or PhD degree in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field, with a strong interest in robotics, perception, or machine learning.
• Strong programming skills in Python and/or C++
• Familiarity with Linux and Git

Nice to have

• PyTorch
• OpenCV, Open3D, PCL, or similar 3D vision libraries
• Robot kinematics and dynamics
• Motion planning (MoveIt, OMPL, or similar)
• Robot simulation (Isaac Sim, MuJoCo, Gazebo, or similar)
• CUDA / GPU programming
• Experience with industrial robots (e.g. ABB)
• German, Italian, or French

We don't expect candidates to have experience with every technology listed above. Curiosity, strong programming fundamentals, and a willingness to learn are more important than prior experience with specific robotics frameworks.

Applicants must be legally authorized to work in Switzerland or be eligible to obtain the required Swiss work authorization without employer-sponsored visa support.

• Develop AI-powered robotic systems deployed in real industrial production environments.
• Work on cutting-edge perception, planning, and robot learning technologies for autonomous manipulation.
• Gain hands-on experience with industrial robots, 3D sensing, and modern AI frameworks.
• Collaborate with an experienced, international, multidisciplinary engineering team.
• Shape your internship around your interests while contributing to technology that is making construction safer, more efficient, and more sustainable.