logo
See all jobs

CFD Methodology Graduate

Intern / Student, Full-time · Hinwil
Read job description in:
Join the Audi F1 Project - Shape the Future of Motorsport!
Welcome to the Audi F1 Project.     
    
Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. We have recently opened Sauber Motorsport Technology Center in the UK. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations with support from the UK.  
  
We are now opening applications for our inaugural Graduate Programme. In your graduate role, you will contribute directly to live projects, gaining hands-on experience from day one.   
 
Continuous improvement is at the core of what we do. You will be encouraged to adapt and innovate, strengthening your skills and developing a growth mindset. Clear and effective communication, as well as constructive feedback, will be essential in helping you collaborate across teams. You will share knowledge openly and learn from the experience of your teammates. And we place great emphasis on ownership: you will take responsibility for your work, make informed decisions and understand how your contributions shape the wider team's success.
Your mission
As a graduate member of the CFD Methodology team, you play a key role in advancing the accuracy and efficiency of CFD processes across the aero department. You collaborate closely with cross-functional teams, including the Correlation Group and Aerodynamic Development, to improve predictive capabilities. Your responsibilities include developing state-of-the-art CFD codes and workflows, and contributing to initiatives that make CFD tools accessible throughout the department. You will be part of a team focused on advancing CFD capabilities, with access to modern tools and the chance to shape how simulation supports aerodynamic performance. 
 
Key Responsibilities 
  • Contribute to the continuous improvement of CFD processes.
  • Support initiatives aimed at making CFD tools accessible across the aero department.
  • Develop and refine physical modelling approaches to enhance prediction accuracy.
  • Optimise CFD workflows to reduce turnaround time.
  • Develop innovative tools and methods to uncover insights from our data.
Your profile
Required Qualifications 
  • MSc in Mathematics, Mechanical Engineering, Aerospace Engineering, or a related field with a strong focus on Computational Fluid Dynamics.
  • Familiarity with OpenFOAM, C++, Python, and Linux environments.
  • Interest in applying Machine Learning and AI to CFD is advantageous.
 
Personal Attributes 
  • Strong analytical mindset.
  • Willingness and openness to continuous learning.
  • Self-motivated, responsible, and meticulous.
  • Committed to fostering a culture of collaboration, support, and mutual respect within the team.
Apply for this job
Werde Teil des Audi F1 Projektes – Gestalte die Zukunft des Motorsports!
Welcome to the Audi F1 Project.     
    
Audi will be competing in the FIA Formula 1 World Championship from 2026. The new team has three locations. The Sauber Group's Formula 1 factory in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. Audi's Motorsport Competence Center in Neuburg (Germany) is considered one of the most modern of its kind in Europe. We have recently opened Sauber Motorsport Technology Center in the UK. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations with support from the UK.  
  
We are now opening applications for our inaugural Graduate Programme. In your graduate role, you will contribute directly to live projects, gaining hands-on experience from day one.   
 
Continuous improvement is at the core of what we do. You will be encouraged to adapt and innovate, strengthening your skills and developing a growth mindset. Clear and effective communication, as well as constructive feedback, will be essential in helping you collaborate across teams. You will share knowledge openly and learn from the experience of your teammates. And we place great emphasis on ownership: you will take responsibility for your work, make informed decisions and understand how your contributions shape the wider team's success.
Deine Aufgabe
As a graduate member of the CFD Methodology team, you play a key role in advancing the accuracy and efficiency of CFD processes across the aero department. You collaborate closely with cross-functional teams, including the Correlation Group and Aerodynamic Development, to improve predictive capabilities. Your responsibilities include developing state-of-the-art CFD codes and workflows, and contributing to initiatives that make CFD tools accessible throughout the department. You will be part of a team focused on advancing CFD capabilities, with access to modern tools and the chance to shape how simulation supports aerodynamic performance. 
 
Key Responsibilities 
  • Contribute to the continuous improvement of CFD processes.
  • Support initiatives aimed at making CFD tools accessible across the aero department.
  • Develop and refine physical modelling approaches to enhance prediction accuracy.
  • Optimise CFD workflows to reduce turnaround time.
  • Develop innovative tools and methods to uncover insights from our data.
Dein Profil
Required Qualifications 
  • MSc in Mathematics, Mechanical Engineering, Aerospace Engineering, or a related field with a strong focus on Computational Fluid Dynamics.
  • Familiarity with OpenFOAM, C++, Python, and Linux environments.
  • Interest in applying Machine Learning and AI to CFD is advantageous.
 
Personal Attributes 
  • Strong analytical mindset.
  • Willingness and openness to continuous learning.
  • Self-motivated, responsible, and meticulous.
  • Committed to fostering a culture of collaboration, support, and mutual respect within the team.
Apply for this job
Apply for this job
We appreciate your interest in the Audi F1 Project. 
Please note that we can consider only applications submitted via our online job portal. 
After completing the following form our HR team will confirm the reception of your application.
Should you have any difficulties uploading your files, please contact us by e-mailing: career@sauber-group.com.
Data privacy statement
Uploading document. Please wait.
Please add all mandatory information with a * to send your application.