Modelling Methodology Powertrain Engineer
Modelling Methodology Powertrain Engineer

Modelling Methodology Powertrain Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
A

At a Glance

  • Tasks: Develop powertrain models using Modelica and enhance performance through innovative engineering.
  • Company: Join Alpine Racing, a cutting-edge F1 team dedicated to engineering excellence and collaboration.
  • Benefits: Enjoy competitive pay, private healthcare, gym access, and a subsidised restaurant in a vibrant workplace.
  • Why this job: Be part of a dynamic team impacting global racing performance while fostering your career in F1.
  • Qualifications: Master's degree in Mechanical or Automotive Engineering with experience in powertrain systems required.
  • Other info: We celebrate diversity and promote an inclusive environment for all backgrounds and experiences.

The predicted salary is between 43200 - 72000 £ per year.

Are you ready to accelerate your career with a dynamic and innovative F1 team? We have a fantastic opportunity for a talented Modelling Methodology Powertrain Engineer to join our Modelling Methodology group within the Engineering Office at Enstone. This position will play a crucial role in helping us achieve podiums and race wins.

Our team is dedicated to engineering excellence, pushing the boundaries of technology and optimising performance to achieve our goals. We are built on collaboration and mutual support, fostering a vibrant, inclusive culture where your ideas and contributions are valued.

Your Challenge

As a Modelling Methodology Powertrain Engineer, you are expected to develop models of powertrain and in general multibody systems using primarily the Modelica language. A strong understanding of controls and modal analysis is required. An interest in automation, scripting, and coding (matlab and python) are essential.

Who We Want

We are looking for someone who is looking to build their career within F1. The ideal candidate will ideally be educated to master's degree level or equivalent within Mechanical Engineering, Automotive Engineering, or a related field. You should have a deep understanding in high-frequency torsional analysis and powertrain dynamics. Proficiency in simulation software such as Dymola and/or Simulink and in scripting with python and matlab is required.

What We Offer

Working for Alpine F1 Team means collaborating with a talented team, directly impacting race car performance on a global stage, and enjoying our state-of-the-art facilities. We offer competitive remuneration packages, private medical healthcare, access to a free on-site gym, a subsidized restaurant, and many additional benefits. The thrill of pioneering innovation in Formula One racing provides numerous career development opportunities in a collaborative, inclusive environment.

Join Us

At Alpine F1 Team, we celebrate diversity and strive to create an inclusive environment where everyone can be their true selves. We welcome individuals from all backgrounds, ethnicities, cultures, and experiences. We are committed to leading by example in promoting diversity, inclusion, and belonging in our society.

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc.

Modelling Methodology Powertrain Engineer employer: Alpine F1 Team

At Alpine Racing Limited, we offer an exhilarating opportunity to join a pioneering F1 team where your contributions directly influence race car performance on a global stage. Our vibrant and inclusive work culture fosters collaboration and innovation, supported by state-of-the-art facilities and a commitment to employee growth through diverse career development opportunities. With competitive remuneration, private medical healthcare, and additional perks like a free on-site gym and subsidised restaurant, we ensure our team members thrive both personally and professionally in the fast-paced world of Formula One racing.
A

Contact Detail:

Alpine F1 Team Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Modelling Methodology Powertrain Engineer

✨Tip Number 1

Familiarise yourself with the Modelica language and its applications in powertrain modelling. Consider working on personal projects or contributing to open-source projects that utilise Modelica to showcase your skills.

✨Tip Number 2

Network with professionals in the F1 industry, especially those involved in powertrain engineering. Attend relevant conferences, webinars, or workshops to make connections and learn about the latest trends and technologies.

✨Tip Number 3

Gain hands-on experience with simulation software like Dymola and Simulink. If you don't have access to these tools, look for online courses or tutorials that can help you build proficiency before applying.

✨Tip Number 4

Stay updated on the latest advancements in powertrain dynamics and high-frequency torsional analysis. Follow industry publications and join forums where you can discuss these topics with peers and experts.

We think you need these skills to ace Modelling Methodology Powertrain Engineer

Modelica Programming
Powertrain Dynamics
High-Frequency Torsional Analysis
Controls Engineering
Modal Analysis
Simulation Software Proficiency (Dymola, Simulink)
Scripting Skills (Python, MATLAB)
Multibody System Modelling
Analytical Skills
Problem-Solving Skills
Collaboration and Teamwork
Attention to Detail
Adaptability
Communication Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Modelling Methodology Powertrain Engineer position. Familiarise yourself with the Modelica language, powertrain dynamics, and the specific skills mentioned in the job description.

Tailor Your CV: Customise your CV to highlight relevant experience in powertrain systems, modelling, and simulation software like Dymola and Simulink. Emphasise any projects or roles that demonstrate your proficiency in automation, scripting, and coding with Python and MATLAB.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for F1 and how your background aligns with Alpine Racing's goals. Mention specific experiences that relate to the role and express your enthusiasm for contributing to the team's success.

Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your documents are clear, concise, and professionally formatted to make a strong impression.

How to prepare for a job interview at Alpine F1 Team

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in Modelica, MATLAB, and Python during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in powertrain systems or multibody dynamics.

✨Demonstrate Your Passion for F1

Express your enthusiasm for Formula One and how it drives your career aspirations. Share any relevant experiences or knowledge about the sport that can showcase your commitment to the industry.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your understanding of controls, modal analysis, and high-frequency torsional analysis. Practice explaining complex concepts clearly and concisely, as this will demonstrate your expertise.

✨Emphasise Team Collaboration

Since the role involves working within a collaborative environment, be ready to discuss examples of how you've successfully worked in teams. Highlight your ability to communicate effectively and support your colleagues in achieving common goals.

Modelling Methodology Powertrain Engineer
Alpine F1 Team
A
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>