"Don't limit your challenges, Challenge your limits"


Need a real challenge? The AMZ racing team is going all out in building an electric race car that can beat the best among the best! Come and join our team to build AMZ's next generation formula student vehicle! Take a deep dive into the fascinating technology that makes our open-wheeler reach levels beyond your imagination.


The applications for the 2023/24 season are open.


Open Day 2023

Join our open day in Dübendorf on the 25th of may!
Find more information and a registration link for the open day here.

Join our electric team

Information events

The AMZ Racing Team is looking for enthusiastic young engineers for the fall semester 2023! Are you a student at a Swiss university of applied sciences, university or ETH Zurich. Additionally, are you curious, motivated and enthusiastic about motorsport? Then apply to us and take the chance to work with the most successful Formula Student Electric team in the world! Get a unique opportunity to collect practical project work and to turn your own ideas from paper into reality and to test them in practice.

You can now apply for the next season.

Application information for MAVT and ITET Focus students




  • APPLICATION BY MAIL TO: recruiting@amzracing.ch and thomatan@ethz.ch (application must be sent to both addresses) and via the application form from D-MAVT (must be made via both)

A CV, a letter of motivation and a current transcript of grades from MyStudies are required for the application. 20 credit points can be earned as part of the focus project (14 ECTS focus project, 6 ECTS supporting lecture).

Application information for freelancers (any course & academic year)

  • DATES FOR THE INTERVIEW: 19.- 23. June
  • APPLICATION BY MAIL TO: recruiting@amzracing.ch

There is no predefined number of participants for freelancers. The project can be carried out parallel to the courses. A CV and a short letter of motivation are required for the application.

Application information for other project participations

There are various other ways to participate in the AMZ Racing Team. Semester and master’s theses can be written as part of the project. The supervisors have to be organized by the students themselves, but the AMZ will help with finding a topic.

After the first contact, the details will be clarified individually.


Join our driverless team

Recruitment starting next autumn.


Joining our team means implementing software/hardware and/or taking responsibility in the following modules:


You build the senses of the car. Develop a camera system and be creative with the newest vision algorithms and machine learning. Or work with the newest LiDAR technology to detect as many cones as possible. Maybe even fuse them together, to build one powerful pipeline and push the limits of how fast we can drive.


Here, it’s all about pushing the car to its limits. Plan the optimal trajectory around the track and develop the algorithms that control the many powerful actuators, to finally be faster than a human driver.


Combine the inputs from multiple sensors to provide an accurate estimate of the car’s velocity, build a map of the track while driving using a complex SLAM algorithm, or plan the best way to navigate the track.

Software Infrastructure:

Build on the framework to integrate the software into the car, or improve and expand our Automated Testing System running on our in-house server to allow code improvements without hitting the test track. On the hardware side, design a computer fast enough to execute the driverless pipeline at high speed and tough enough to survive the harsh conditions on board a race car.

Simulation and Data Analysis

High fidelity simulation allows to design, test and tune the software before even going to the track. Accurate modelling of the physics behind an autonomous racecar as well as all its state-of-the-art sensors is a fascinating challenge. You’ll be able to conceive and build this simulator: the goal is to build a powerful and intuitive tool not only for testing the amz autonomous pipeline but also for decision making and scenario analysis