Aero Software Developer

United States Digital Space LLC

Bicester

On-site

GBP 85,000 - 120,000

Full time

5 days ago
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Job summary

Audi Revolut F1 Team’s UK-based Audi Motorsport Technology Centre in Bicester seeks a Senior FEM Structural Analysis Engineer to join the Structures Design and Analysis group. You will develop software for CFD data analysis, build desktop and web tools, and optimize backends for CFD data processing and visualization.

You’ll work with aerodynamics engineers to improve data clarity, deliver robust data access APIs, and stay abreast of the latest software and data science trends in a

Qualifications

  • Master's degree in Computer Science, Engineering, Mathematics or related fields.
  • 3+ years of professional software development experience.
  • Experience with data organization and repository creation using appropriate database and file technologies.
  • Experience on complex projects and proven programming skills.
  • Strong knowledge of Python and JavaScript.
  • Familiarity with Linux environments and software release/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.

Responsibilities

  • Be a member of a team of engineers and data scientists to develop and improve software for aerodynamic analysis.
  • Design and implement desktop and web applications to present CFD data.
  • Contribute to redesign and optimization of backend for CFD data processing and serving.
  • Contribute to CFD post-processing workflow design and implementation.
  • Collaborate with aerodynamic engineers to simplify complex data understanding.
  • Help set future directions and trends in data analysis and visualization.
  • Improve the user interface look and feel for data presentation and interaction.
  • Develop data access tools and APIs for other systems.
  • Design, code, test, release, and maintain data analysis applications.
  • Stay updated with advancements in software design and data science.
  • Optimize backend processing and CFD data serving.

Skills

Python
JavaScript
Linux
Data visualization
Web technologies
Software release & deployment
English communication

Education

Master's degree in related field

Tools

PyQt
Django
VTK
ParaView
PyVista
Kubernetes
Docker

Job description

Join Our TeamWe are the Audi Revolut F1 Team. 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. The team is based in three locations: the power unit is developed by Audi Formula Racing GmbH at the Audi Competence Center Motorsport in Neuburg, Germany; the chassis is engineered and race operations are managed from the state-of-the-art facilities of Audi Motorsport AG in Hinwil, Switzerland; while the Audi Motorsport Technology Centre UK in Bicester, United Kingdom, provides a foothold in the heart of 'Motorsport Valley', with direct access to top F1 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.

We are seeking an experiencedSenior FEM Structural Analysis Engineer to join our high-performance Structural Design and Analysis department and play a key role in the development of cutting-edge Formula 1 car components. This position for the Audi Revolut F1 Team is based at Audi Motorsport Technology Centre in Bicester, UK

Your mission
  • 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.
Your profile
  • 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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