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RaceOn is hiring a Trackside Tyre Engineer

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Job Description

General Information
We can currently only consider applications from candidates based in Europe or the USA.
This position is remote, hybrid, or in-office, depending on the project. Regular travel to the race track is required.

Your Mission

  • Support all race, test, simulator and rig activities
  • Working in conjunction with other engineers and drivers to optimize the performance on track
  • Providing pre & post event simulation, analysis and key performance metrics of tyre performance in race and test events
  • Assist in developing tyre physics understanding and in conjunction with tyre modelling engineers to support vehicle performance analysis and development
  • Ensure on-going validation and correlation of the tyre models to track and rig data to ensure robust validation of simulation results
  • Research and use appropriate technologies to ensure the continuous development of our models to meet the engineering requirements of the Team
  • Interact across the entire Team to provide methodologies, tools and solutions to support objective technical decision making
Your profile
  • Degree in engineering or comparable higher education
  • At least 3 years’ experience in high level motor sports
  • Good theoretical knowledge in the field of vehicle dynamics and tyres modelling
  • Experience with tyre testing on track and/or test benches
  • Practical experience in the use of coding languages such as MATLAB or Python
  • Knowledge of data analysis programs
  • Good communication skills.
  • Time flexibility, absolute willingness to travel, especially on weekends
  • You are able to work in a team and independently and you have a high level of commitment
Why us?
  • Be part of a young and dynamic like-minded team
  • Flexible lifestyle turning your hobby into your job
  • Travel the world and work with well-known and renowed racing teams
  • flat hierarchies and owner-managed
  • work in various projects with the security of a permanent contract
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Salary Information

Salary: $85,000 - $105,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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