About the role
Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in 2026.
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What you’ll do
- Be the member of a team of engineers and data scientists to develop, create and improve software for efficient aerodynamic analysis.
- Design and implementation of desktop and web applications to present data from different sources, with a focus on CFD data.
- Contribute to the redesign and optimization of the backend used to process and serve CFD data.
- Contribute to the design and implementation of efficient workflows for CFD post-processing.
- Work closely with aerodynamic engineers to improve the ease of understanding complex data.
- Contribute to set future directions and trends in data analysis and data visualization.
- Work on the look and feel of the user interface in terms of presentation and interaction with the data from a wide range of engineering data sources.
- Design and produce high performance and well-designed data access tools and APIs to be used by other existing systems.
- Design, code, test, release, and maintenance of data analysis applications.
- Stay updated with the latest advancements and developments in software design and data science.
- Optimization of the backend used to process and serve CFD data.
- Improve the look and feel of the user interface in terms of presentation and interaction with the CFD data.
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- Master`s degree in Computer Science, Engineering, Mathematics or related fields.
- At least 3 years professional experience as software developer.
- Experience with data organization and repository creation using appropriate database and file technologies.
- Experience working on complex projects.
- Proved programming skills.
- Strong knowledge of Python and JavaScript.
- Familiarity with working in a Linux environment.
- Software release, update and deployment techniques.
- Strong knowledge of PyQt technology and deployment to Windows/Linux OS.
- Strong knowledge of web technologies (Django an advantage)
- Familiarity with VTK, ParaView and/or PyVista.
- Knowledge of containerized development and deployment.
- Fluent in English.
- Experience with scientific data visualization, especially 3D data.
- Knowledge of containerized deployment on Kubernetes.
- Familiarity with HPC environments.
- Data science techniques and methodologies.
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About Audif1
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