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24 Oct 2023

Simulation and Modelling Engineer

🇮🇹 Faenza, Italy
Full Time
2+ years exp.

We are looking for a brilliant Simulation and Modelling Engineer to support the development of our Driver in the Loop simulator activity related to vehicle performance development and optimization. In this role you will be in charge of preparing and running the simulation software during DiL simulator sessions, including simulator systems shakedown sessions.


Areas that play to your strengths

All the responsibilities we'll trust you with:

Driver in the Loop Simulation

Regular participation to DiL simulator sessions to organize sessions run plan according to VPG’s test items requests, manage the simulation software and car simulation parameters, including during race weekends according to sessions calendar.

DiL simulation procedures and session conduction methodologies development and documentation.

Post-DiL simulator sessions test items analysis (either car performance or simulation correlation aspects), in collaboration with Performance Engineers.

Model analysis

Contribute to the Simulation & Software’s group activities related to the development and maintenance of vehicle models, simulation, and data analysis tools with the target of improving engineering methodologies, vehicle performance evaluation and optimization.

Models’ accuracy analysis and tracking against measured data and regular correlation report generation.


Simulation and performance analysis methodologies improvement studies and proposals.

Long term vehicle simulation/analysis methodology R&D projects investigation and evaluation.

Operation Room

Participation to Race and Tests Events support activities from SAT’s Operation Room.


Your areas of knowledge and expertise

that matter most for this role:

  • Knowledge of numerical simulation techniques.
  • Knowledge of vehicle dynamics and vehicle modelling.
  • Knowledge of DiL simulations solutions.
  • Experience using Adams, Dymola or other Modelica-based modelling tools, Matlab/Simulink.
  • Experience in programming for engineering applications (for instance Matlab, Python, C#, Java, etc.).
  • Familiarity with data acquisition and analysis tools and methodologies would be considered an asset.
  • Excellent communicative and collaborative skills are essential
  • Excellent problem-solving skills and a proven ability to work under pressure, with a minimum of supervision, to the highest levels of accuracy and quality.
  • A flexible approach to working hours is essential.
  • Degree in an Engineering Discipline (engineering, maths, physics, etc.)
  • Fluency in English
  • Travel 10-20%
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