Intern Aero Software

Motorsport Network, LLC; Zürich; Remote; CHF 17,000 - 23,000; Full time

Job summary

Audi Revolut F1 Team is inviting a motivated student to gain hands-on experience developing engineering software and AI-driven data tools. You will work with professionals to create solutions that integrate CFD, wind tunnel and trackside data, enhancing aerodynamic analysis and data-driven decision making.

Ideal candidates are pursuing a degree in CS/SE/Data Science/AI, with Python skills and interest in AI/ML, data visualization, APIs and modern workflows.

Qualifications

• Currently studying towards a degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.
• Good programming knowledge in Python.
• Interest in artificial intelligence, machine learning and data-driven engineering applications.
• Familiarity with data analysis libraries and frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch or TensorFlow.
• Interest in data visualisation, databases, APIs and engineering applications.
• Familiarity with version control, containerisation technologies and modern development workflows is advantageous.
• Interest in motorsport, aerodynamics, simulation technologies or engineering data systems is highly desirable.
• Good problem-solving skills and attention to detail.
• Collaborative approach with an eagerness to learn and take initiative.
• Good written and verbal communication skills in English; German is advantageous.

Responsibilities

• Supporting the development and improvement of aerodynamic analysis tools.
• Contributing to AI and machine learning solutions that help engineers discover patterns, generate insights and accelerate decision-making.
• Assisting with the integration of data from CFD simulations, wind tunnel testing and trackside measurements.
• Supporting the development of data pipelines, APIs and interfaces connecting multiple engineering data sources.
• Contributing to proof-of-concept projects exploring the use of artificial intelligence, automation and modern data technologies within Aerodynamics.
• Testing, documenting and maintaining software with guidance from the team.
• Researching emerging technologies in AI, machine learning, data engineering and scientific computing, and evaluating their potential application within motorsport engineering.

Skills

Python

Problem solving

Attention to detail

English communication

Education

CS/SE/Data Science/AI or related field

Tools

NumPy

Pandas

Scikit-Learn

PyTorch

TensorFlow

Job description

Join Our TeamWe are the Audi Revolut F1® Team.

Audi Revolut F1 Team is the official factory team of Audi, competing in the FIA Formula 1 World Championship since Audi's entry into the sport in 2026.

The team is based across three strategic locations. The power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany, while the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland. Complementing these operations, the Audi Motorsport Technology Centre UK in Bicester provides a foothold in the heart of Motorsport Valley, enabling direct access to top Formula 1 talent and key strategic partners.

What you need? The mindset of an athlete. If you are someone for whom giving up isn\'t an option and limits are just something to be overcome, you can bring Vorsprung durch Technik to Formula 1 with us. Become part of this unique project and make motorsport history.

This vacancy for the Audi Revolut F1® Team is based at Audi Motorsport AG in Hinwil, Switzerland.

Your mission

This is an exciting opportunity for a motivated student to gain hands-on experience in the development of advanced engineering software and AI-driven data tools. You will work alongside experienced professionals to create innovative solutions that help integrate and extract value from CFD, wind tunnel and trackside data.

• Supporting the development and improvement of aerodynamic analysis tools.
• Contributing to AI and machine learning solutions that help engineers discover patterns, generate insights and accelerate decision-making.
• Assisting with the integration of data from CFD simulations, wind tunnel testing and trackside measurements.
• Supporting the development of data pipelines, APIs and interfaces connecting multiple engineering data sources.
• Contributing to proof-of-concept projects exploring the use of artificial intelligence, automation and modern data technologies within Aerodynamics.
• Testing, documenting and maintaining software with guidance from the team.
• Researching emerging technologies in AI, machine learning, data engineering and scientific computing, and evaluating their potential application within motorsport engineering.

Your profile

• Currently studying towards a degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.
• Good programming knowledge in Python.
• Interest in artificial intelligence, machine learning and data-driven engineering applications.
• Familiarity with data analysis libraries and frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch or TensorFlow.
• Interest in data visualisation, databases, APIs and engineering applications.
• Familiarity with version control, containerisation technologies and modern development workflows is advantageous.
• Interest in motorsport, aerodynamics, simulation technologies or engineering data systems is highly desirable.
• Good problem-solving skills and attention to detail.
• Collaborative approach with an eagerness to learn and take initiative.
• Good written and verbal communication skills in English; German is advantageous.

Applications are open to candidates who can demonstrate and provide supporting evidence that they meet the following eligibility criteria:

• You have the right to work in Switzerland
• You must be enrolled in a study programme and expect to graduate no earlier than three months before the end of your internship.
• You are available to work on-site in Hinwil, Switzerland for the full duration of the programme
• You are available to start the programme on 01.03.2027

Application Process

Applications close on 16.11.2026 at 23:00 CET. Interviews will take place in December, with final outcomes expected by the end of January. Due to the high volume of applications, we\'re unable to provide individual feedback. We appreciate the time and effort invested in every application. However, due to the volume of applications received, we are unable to provide individual feedback.

FAQ

For further information, please see our Early Careers FAQ.