Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to develop cutting-edge aerodynamic analysis tools for Formula 1.
- Company: Be part of a global leader in the thrilling world of motorsport.
- Benefits: Work in an exciting environment with opportunities for growth and innovation.
- Why this job: Contribute to groundbreaking projects and collaborate with top engineers in the industry.
- Qualifications: Degree in Computer Science or Mathematics; 2 years of relevant experience required.
- Other info: Contact Charlie at 07502 500 664 or charlie.gilbert@txmrecruit.co.uk to apply!
The predicted salary is between 36000 - 60000 £ per year.
An exciting opportunity has come about to join the exciting world of motorsport in Formula 1. This client is looking to grow their team in the coming year and seeking Aerodynamic Software Engineers to support this. The purpose of the role is to work within a group of software engineers to develop new and existing applications and tools, to support the complete aerodynamic development process, including wind tunnel testing, CFD, correlation and design.
If you are looking to join a global organisation in the world of motorsport then this opportunity could be for you!
Main Duties
-
Develop and create the latest generation of aerodynamic analysis tools.
-
Work closely with aerodynamic engineers to improve the ease of understanding complex data.
-
Apply experience and knowledge to help set future directions and trends in data analysis and data visualisation.
-
Define the user interface in terms of presentation and interaction with the data from a wide range of engineering data sources.
-
Produce high performance and well-designed data access tools and APIs to be used by other existing systems.
-
Complete design, code, test, release, and maintenance of data analysis applications.
-
A degree in a relevant discipline (Computer Science or Mathematics) or similar.
-
Has a minimum 2 years relevant experience in a similar role, ideally within the motorsport industry.
-
Good knowledge of software architecture and patterns.
-
Excellent programming skills, ideally with Python, MATLAB, C++, C#, and be able to write clean and testable code with an emphasis on maintainability.
-
Knowledge with other technologies such as SQL servers.
-
Experience with data organisation and repository creation using appropriate database and file architecture.
-
Experience in the development and deployment of Al and Machine Learning based systems.
-
Able to perform duties in a timely manner with minimal errors .
-
Communicate effectively with key stakeholders/directors.
-
Strong levels of IT skills including MS Office, Word, Excel and PowerPoint.
-
Positively contribute to an open and inclusive culture.
How to Apply- If you would like to apply for this position, then please do not hesitate to contact me on either 07502 500 664 / email me on charlie.gilbert@txmrecruit.co.uk
Aerodynamics Software Engineer employer: TXM Recruit Ltd
Contact Detail:
TXM Recruit Ltd Recruiting Team
+441332974922
Charlie.Gilbert@txmrecruit.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Aerodynamics Software Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in aerodynamic software development, especially in the context of motorsport. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the motorsport industry, particularly those working in aerodynamics and software engineering. Attend relevant events or join online forums to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Brush up on your programming skills, especially in Python, MATLAB, C++, and C#. Consider working on personal projects or contributing to open-source projects that showcase your ability to write clean and maintainable code.
✨Tip Number 4
Prepare to discuss your experience with data analysis and visualization tools. Be ready to share specific examples of how you've improved data understanding or developed user interfaces in previous roles.
We think you need these skills to ace Aerodynamics Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your relevant experience in aerodynamics and software engineering. Emphasize your programming skills, particularly in Python, MATLAB, C++, and C#, as well as any experience in the motorsport industry.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for motorsport and your understanding of aerodynamic analysis tools. Mention specific projects or experiences that demonstrate your ability to work with complex data and collaborate with engineers.
Highlight Relevant Skills: In your application, clearly outline your knowledge of software architecture, data organization, and experience with AI and Machine Learning systems. This will help you stand out as a candidate who can contribute to the team's goals.
Follow Up: After submitting your application, consider following up with a polite email to express your continued interest in the position. This shows initiative and can keep you on the radar of the hiring team.
How to prepare for a job interview at TXM Recruit Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python, MATLAB, C++, and C#. Bring examples of your previous work or projects that demonstrate your ability to write clean and maintainable code.
✨Understand Aerodynamics and Data Analysis
Familiarize yourself with the aerodynamic development process, including wind tunnel testing and CFD. Be ready to explain how you can contribute to improving data visualization and analysis tools.
✨Communicate Effectively
Practice articulating complex technical concepts in a way that is easy to understand. This role requires collaboration with aerodynamic engineers, so demonstrating strong communication skills will be crucial.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your experience with AI and Machine Learning systems, as well as your approach to developing high-performance data access tools.
