National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Motorsport tire performance Engineer (F/M)

Michelin Motorsport
8 months ago
Applications closed

Related Jobs

View all jobs

CAE Developer - Virtual Build

Context


Michelin has a strong ambition inmotorsport and environmental sustainability. The company is committed to use technologies developed in motorsport to improve the performance and efficiency of everyday tires.


Michelin’s goal is toapply innovations from motorsport to offer more environmental friendly tires, providing better grip, lower rolling resistance, and longer milage.


This means thattechnological advances made in tires used in extreme competition conditions are transferred to consumer tires. Thus, drivers benefit fromhigher-performingtires, as well as significant gains infuel economy and CO2 emission reductions with an increasing proportion of sustainable materials!


Michelin is looking for aMotorsport Performance Engineerto support the development ofinternal simulation and collaboration with our partners. The objective of this position? Better understand performances to offer new development paths for our products or for our partner’s vehicles! You will work on exciting projects aimed at promoting safer and more sustainable mobility…


Additional information about the position:


This position is based at ourmotorsport building, in Cataroux plant in Clermont Ferrand.


 


Key achievements expected:


  • Define and drive test plans on DIL simulator
  • Participate to tire modeling development
  • Provide reliable measurement results on Michelin internal bench.
  • Develop innovative measurement protocols.
  • Track data analysis
  • Report to internal and external customer in your area of expertise.
  • Solve ambitious technical problems and share your knowledge.

 


Responsibilities:


  • Support our partners and tire designers during test sessions by conducting on-site analysis.
  • Build and optimize tire Forces & Moments tire models.
  • Participate in simulator test sessions internally and with our external partners.
  • Develop and implement criteria and tools to understand the physics of tire/vehicle interaction.
  • Create and maintain a strong technical partnership with our clients.
  • Collaborate with Michelin’s internal R&D teams.

 


Your profile interests us if:


  • You hold an engineering master in mechanics and have 3 to 5 years of experience in vehicle dynamics.
  • Experience in motorsport is a plus.
  • You are proficient in English (minimum B2) and French is a plus
  • You have strong skills in vehicle dynamics, analysis, and an interest in understanding the physical domain.
  • Programming (Matlab/Python) is required.
  • You are customer-oriented and able to work in a responsive and cross-functional environment.
  • Additionally, you can work in a team, in a multidisciplinary environment. You have the ability to adapt to different environments and can work with agility and resilience in dynamic environments to closely meet customer needs.

 


What do you have to gain?


 


Michelin offers adynamic and international work environmentwith the possibility oftraveling up to 80 days per year.


 


We invite you to join our passionate team and contribute to our mission ofproviding advanced mobility solutions while pushing the limits of performances.


 


Upon taking up your position, you willbenefit from a personalized and specific training plan tailored to your skills, allowing you to integrate into your new work environment and new job.


Your career progression will be supported by your experienced colleagues (senior developers, development experts, product performance experts, etc.) in a climate where sharing knowledge and know-how is important, as well as through continuous training that will be defined individually. You will be able to understand different aspects of product development, its industrialization, and the associated processes!


 


Finally, by joining our company, career prospects are varied, and you will be an actor in your development.


 


Don’t hesitate any longer!


 


If you want to participate in an ambitious vision of mobility, come and join us!


The position is available immediately and this offer will close as soon as a suitable candidate is found!

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.