VCARB F1 Team - CFD Tools and Data Engineer at Red Bull
Milton Keynes, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 May, 25

Salary

0.0

Posted On

27 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Algorithms, Software, Process Automation, Technical Ability, Physics, Mathematics, Software Engineering Practices, Computer Science, Statistics, Flexible Approach, Machine Learning

Industry

Information Technology/IT

Description

COMPANY DESCRIPTION

Step into the thrilling world of Formula 1 with Visa Cash App Racing Bulls F1 Team, in the endless search for performance and excellence, where every detail makes a difference. We are looking for future members of our team, thrilling for innovation and achievement, evolving in a competitive environment.
Sounds exciting, doesn’t it? Don’t miss your chance to make an impact!
We are currently looking for a motivated CFD Tools and Data Engineer to support the aerodynamic CFD development programme; collaborate with other members of CFD Methodology, IT, Aero Performance and Data Analysis Groups and to provide best-in-class CFD software tools to Aero Development Teams.

QUALIFICATIONS

A university level qualification in Engineering, Mathematics, Statistics, Physics, Computer Science (MEng, MSc or PhD) or similar
Experience working in F1/automotive/aerospace industry (will be a plus)
Experience using CFD codes and Linux system
Good understanding of computational methods, algorithms and software design
Interest in process automation and optimisation
Experience with handling and analysing large datasets
A high technical ability and strong scripting/programming skills
Expertise in at least one general-purpose programming language, preferably Python
Good communication and collaborative attitude
Strong ability to quickly learn and adopt new technologies
Remarkable attitude in problem solving and attention to detail
Self-motivated and with a flexible approach to working hours
The determination and dynamism to meet tight deadlines
Good understanding of vehicle aerodynamics
Experience utilising machine learning and data science techniques
Good understanding of software engineering practices

Responsibilities

Please refer the Job description for details

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