Red Bull logo

VCARB F1 Team_Senior Simulation & Modelling Engineer

Red Bull
Full-time
On-site
Faenza Emilia-Romagna Italy
Sports
Company Description

Visa Cash App Racing Bulls F1 Team is one of two Red Bull-owned F1 teams.

Today’s Formula 1 calls for a high level of specialist skills in every area. At Visa Cash App Racing Bulls F1 Team we strongly believe that every member of our staff can and should lead innovation and continuous improvement in such a competitive and dynamic working environment.

Sounds exciting, doesn't? Don't miss your chance to make an impact!

We are looking for an experienced Senior Simulation & Modelling Engineer to be responsible for leading the development of RAB’s Dynamic Lap Simulation tool and related optimal-control-based simulation framework and contributing to the development of RAB’s vehicle model library.

This role is central to the evolution of our in-house performance-simulation capabilities, integrating vehicle & tyre models, control strategies, and using advanced numerical optimization methodologies to feed novel simulation-based methodologies for car performance development and optimization.

Please note that recruitment for this position will take place on a rolling basis, meaning that should the ideal candidate be identified the vacancy will be closed. Should you be interested in the role, we encourage you to promptly apply.

Job Description

Simulation Framework Development & Optimization

Develop and implement a high-fidelity Dynamic Lap Simulation framework, supporting an optimal-control-based approach to minimum-laptime and parameter optimisation;

Formulate and solve optimal-control problems using advanced numerical techniques (direct/indirect optimisation, collocation, shooting methods, etc.);

Optimise computational performance, ensuring numerical stability, simulation accuracy, and efficient solver integration;

Develop modular, efficient, and scalable codebases, ensuring robustness and maintainability;

Contribute to tool architecture and the development roadmap, defining best practices for simulation methodology, code structure, and validation.

Model Integration & Correlation

Contribute to the development of RAB’s vehicle model library and ensure compatibility with the numerical methods used for dynamic lap simulation;

Correlate simulation outputs with telemetry data to guarantee real-world accuracy and reliability;

Collaborate with Vehicle Dynamics, Aerodynamics, and Tyre Modelling engineers to translate simulation insights into measurable performance improvements;

Technical Leadership & Cross-Functional Support

Ensure that all engineering tools under the role’s ownership meet quality standards and integrate coherently with the VPG Toolset and related guidelines;

Provide technical expertise to support other VPG groups’ simulation-related projects;

Explore innovative solutions for simulation-driven vehicle performance improvement;

Demonstrate flexibility and professionalism in line with project and role requirements, promoting a positive image of the team, department, and sponsors.

What we offer

Working in a young, collaborative and international environment.

Tailored training.

Company Events / Briefings.

Onsite Gym.

Bonus scheme.

Annual salary review process.

Meal Tickets

Free additional health insurance

Qualifications

MSc or PhD in Mechanical Engineering, Control Engineering, Applied Mathematics, or related field;

5+ years of experience in vehicle dynamics simulation or control system development, ideally in motorsport or high-performance vehicle engineering;

Deep understanding of vehicle dynamics, control theory, and numerical optimization;

Expertise in minimum-lap-time simulation, and optimal control methods;

Relevant experience for the role:

Dynamic multi-body simulation.
Model-based control and optimisation.
Efficient numerical methods implementation (ODEs, nonlinear optimization, collocation method)

Strong programming skills relevant for the role:

Python
Matlab / Simulink
C++ – efficient simulation and solver implementation
Modelica (Dymola) – multi-domain physical modelling

Knowledge of automatic differentiation, code optimisation, and parallel computation techniques would be considered an advantage;

Driver-in-the-Loop simulation knowledge would be considered an advantage;

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, together with a very good knowledge of English.

Additional Information

Visa Cash App RB F1 Team is an equal opportunities employer, we will evaluate applications from all members of society irrespective of age, sex, sexual orientation, race, religion or belief.
Apply now
Share this job