196152 Intern Artificial Intelligence in Robotics (f/m/x) Published: 17.09.2026 Software Development Munich New Software Development Munich Munich

BMW Group; München; Híbrido; EUR 10 000 - 13 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Student apartments (Munich)

Mobile work

Resumo da oferta

BMW Group in Munich invites ambitious interns to contribute to embodied AI research and robotic learning on the factory floor. You’ll work with state-of-the-art hardware and simulation to automate assembly tasks while collaborating with a small, passionate team.

Ideal candidates study robotics, CS or ECE and bring Python, ROS and PyTorch experience; strong English and German skills are required for daily collaboration.

Qualificações

• Studies in robotics, computer science, electrical engineering or a related field.
• Experience with Python, ROS and PyTorch.
• Technical foundations in reinforcement learning, behavior cloning, deep learning, robot task planning, MDPs, MPC or teleoperation.
• Practical knowledge of simulation environments such as Isaac Sim or MuJoCo.
• Hands-on experience working with real or simulated manipulators.
• Contributions to scientific publications are a plus.
• Good German and English skills.

Responsabilidades

• You support applied research in Embodied AI for automating assembly tasks.
• You help develop architectures and algorithms for robot learning.
• You contribute to evaluating and testing approaches on state‑of‑the‑art robotic hardware.
• You assist in exciting innovation projects in industrial robotics.
• You support the collaboration within a small, motivated team in a fast‑paced environment.

Conhecimentos

Python

ROS

PyTorch

German language

English language

Formação académica

Studies in robotics, CS, ECE or related field

Ferramentas

Isaac Sim

MuJoCo

Descrição da oferta de emprego

Intern Artificial Intelligence in Robotics (f/m/x)

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Physical AI is fundamentally transforming automation. Our team at the BMW Group applies cutting‑edge breakthroughs in robot learning to automate complex assembly tasks directly on the factory line. During your internship, you support us in a fast-paced environment with state‑of‑the‑art hardware and exciting innovation projects.

What awaits you?

• You support applied research in Embodied AI for automating assembly tasks.
• Furthermore, you help develop architectures and algorithms for robot learning.
• In addition, you contribute to evaluating and testing approaches on state‑of‑the‑art robotic hardware.
• Moreover, you assist in exciting innovation projects in industrial robotics.
• Furthermore, you support the collaboration within a small, motivated team in a fast‑paced environment.

What should you bring along?

• Studies in robotics, computer science, electrical engineering or a related field.
• Experience with Python, ROS and PyTorch.
• Technical foundations in reinforcement learning, behavior cloning, deep learning, robot task planning, MDPs, MPC or teleoperation.
• Practical knowledge of simulation environments such as Isaac Sim or MuJoCo.
• Hands‑on experience working with real or simulated manipulators.
• Contributions to scientific publications are a plus.
• Good German and English skills.

What do we offer?

• Mobile work.
• Apartments for students (subject to availability & only at the Munich location).

Duration: 6 months

Working hours: Full‑time

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .