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Paid Internship
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Time Spent
Required Degree
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9Open Positions

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Intern Agentic AI for Cockpit Development (f/m/x)

BMW Group
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attractive & fair compensation
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • visual scripting
  • visual programming
  • Python

Soft Skills

  • Enthusiasm for AI, digitalization
  • motivation to tackle new challenges
  • Openness to combining hardware development (interior components) and tool development
  • Passion and affinity for modern technologies
  • creative problem solving
  • Curiosity about complex systems
  • latest technical developments

Job Description

Our interior design research team at the BMW Group focuses on innovative interior solutions using AI and generative design. We develop pioneering interior components and digital tools to support future vehicle functions, combining hardware development with state-of-the-art software. What awaits you? * You will support research on applying AI and geometric deep learning to 3D CAD data in the context of cockpit and interior development. * Furthermore, you participate in the development of experimental agent-based workflows. * In addition, you help explore data processing pipelines for CAD and assist in preparing datasets for machine learning experiments. * Moreover, you will support the implementation of prototype tools that assist engineers in developing the car interior.

Requirements

  • Studies in computer science, electrical engineering, mechanical engineering, mathematics or a comparable field.
  • Enthusiasm for AI, digitalization and motivation to tackle new challenges.
  • Very good programming skills in visual scripting, visual programming, Python or comparable languages.
  • Openness to combining hardware development (interior components) and tool development.
  • Passion and affinity for modern technologies and creative problem solving.
  • Curiosity about complex systems and the latest technical developments.
  • Good knowledge of German and English.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • German
  • English
▶Apply Now

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