Our team at the BMW Group Logistics Robotics is dedicated to shaping the logistics of the future for our production network. During your internship, you will help us simulate and optimize innovative logistics processes and systems.
What awaits you?
- You will support building and optimizing the simulation of an automated logistics system.
- Furthermore, you help to understand current manual logistics processes and gather relevant data.
- In addition, you assist in designing the automated logistics system.
- Moreover, you will help to conduct site visits in the factory for data collection.
- You will support extracting system KPIs and drawing conclusions for system design.
- Furthermore, you help to prepare presentations with insights from the simulation.
- In addition, you integrate feedback from the team into the simulation.
What should you bring along?
- Studies in industrial engineering, supply chain management, logistics, operations research or any science or engineering degree with relevant experience.
- Experience with supply chain or logistics system simulation tools such as Plant Simulation or Visual Components.
- Very good Python skills; C++ knowledge is a plus.
- Ability to present actionable simulation results in MS PowerPoint.
- Problem-solving skills and willingness to support in a multicultural and multidisciplinary team.
- Good English skills; German is a plus.
Would you like to help us simulate and optimize the logistics of the future? Then apply now!
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/whatweoffer
Start date: 11/24/2025
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via our contact form. Your inquiry will be answered by phone or email afterwards.
We at the BMW Group place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experiences, and skills of the applicants. More about this here.
