F1 Composite Development Intern: AI & Digitalization

Raceforce Global; Zürich; On-site; CHF 13,000 - 20,000; Part time

Job summary

Audi Revolut F1 Team in Hinwil, Switzerland invites students to join as an intern in the Composites division. You will gain hands-on experience at the intersection of composite technology and digital innovation, supporting future process development and the expansion of digital capabilities.

Work on assessing current processes, exploring AI-driven solutions, and collaborating with cross-functional teams to advance internal partnerships and infrastructure during the programme.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a relevant engineering or materials field.
• Strong interest in digital technologies and AI, data science, ML, or robotics.
• Exposure to composites or manufacturing via university projects or Formula Student is a plus.
• Curious and proactive mindset with a drive to explore new technologies.
• Collaborative, able to communicate across functions and teams.
• Proficient in Microsoft Office; good English and basic German.

Responsibilities

• Assist in assessing existing Composites division processes and identify digitalisation opportunities.
• Explore digital solutions and potential AI tools to support processes and workflows.
• Contribute ideas for the digital development of the division.
• Collaborate with colleagues across functions to integrate Composites processes with internal partners.
• Support ongoing development of the division’s digital infrastructure.

Skills

AI

Data Science

Machine Learning

Robotics

German knowledge

Education

Materials Science

Mechanical Engineering

Tools

Microsoft Office

Job description

Audi Revolut F1 Team in Hinwil, Switzerland invites students to join as an intern in the Composites division. You will gain hands-on experience at the intersection of composite technology and digital innovation, supporting future process development and the expansion of digital capabilities.

Work on assessing current processes, exploring AI-driven solutions, and collaborating with cross-functional teams to advance internal partnerships and infrastructure during the programme.