Tasks:

• Develop simulation scenarios for autonomous driving functions
• Create and maintain track models, failure-injection setups and reproducible test cases
• Build automated test workflows for software components and system behavior
• Improve tooling and CI pipelines for Python, C++ and ROS 2 based components
• Help detect regressions and integration issues early in development
• Support measurement, evaluation and traceability of development progress
• Contribute to developer tooling and software quality infrastructure
• Document test procedures, scenarios and validation results

Profile:

• Ongoing or completed studies in Computer Science, Robotics, Software Engineering or a related field
• Interest in software quality, simulation, testing infrastructure and development workflows
• Experience with Python and general software engineering practices
• Knowledge of CI/CD, automated testing or containerized development is a plus
• Structured mindset and motivation to build reliable engineering processes
• Interest in enabling other developers to work faster and with fewer failures

What awaits you:

This role is ideal for people who enjoy building the foundation that makes fast and reliable development possible. In a complex autonomous vehicle project, not every problem should first appear on the real car. You will help us move validation earlier into simulation and automated testing, so that bugs, regressions and unsafe behavior can be identified before expensive test days. Your work will improve both development speed and engineering confidence.

You will contribute to simulation environments, repeatable test cases, failure injection and CI-supported validation for key software modules. At the same time, you will help improve the internal developer experience by making tooling more stable, workflows more transparent and testing more measurable. This role is highly valuable because strong infrastructure multiplies the performance of the whole team. It is especially suited for students who enjoy clean processes, systematic debugging and robust software engineering. Your contribution will not only improve code quality, but also make the entire development organization more scalable and professional.

Time expenditure: At least 10 hours per Week

What We Expect in Addition

Beyond technical competence, we place great value on personal commitment and the ability to work effectively within a team. Formula Student is a performance-driven development project that only succeeds through reliability and personal responsibility.

We expect:

• Reliability and adherence to agreements
• Independent and structured working style
• Clear and respectful communication within the team
• Willingness to actively participate in meetings and test days
• Thorough documentation of one’s own work
• Long-term commitment throughout the entire season

We are not looking for passive participants, but for team members who take ownership and actively contribute to the performance of our vehicle.

Application Requirements

To apply for a position within the team, please send an email containing the following information:

Personal Information

Please include the following basic information in your email:

• Full name
• Study program
• Current semester
• University

Motivation Letter (250–400 words)

Please attach a short motivation letter explaining:

• Why you want to join the Formula Student team
• Why the specific position interests you
• What motivates you to contribute to the development of the race car
• Any relevant background, experience, or skills you would like to highlight

This does not need to be a formal job application. However, we expect a structured and thoughtful explanation of your motivation and interests.

Availability

Please clearly state:

• How many hours per week you are realistically able to contribute to the project

Optional (but helpful)

You may also include:

• Previous technical or project experience
• Programming, CAD, or other relevant skills
• Personal projects or extracurricular activities

Applications should be sent to the email address listed in the respective job description.