Vehicle Performance Modelling Engineer

Requirements

• Experience in developing mathematical models and simulation algorithms for vehicle dynamics, robotics or control systems
• Understanding of classical mechanics, numerical analysis and computational methods
• Experience in validating simulation models against experimental data
• Software development with C++ or Python

Nice to Haves

• Previous experience in vehicle dynamics modelling for autonomous vehicles, automotive or motorsport
• Use of data-driven approaches (e.g. machine learning or system identification) for modelling systems with unknown physical parameters
• Familiarity with high-fidelity vehicle dynamics modelling tools (e.g. Dymola, CarSim, CarMaker) and integration in simulation workflows

What You'll Be Doing

• Vehicle Modelling: Develop virtual vehicle models using physics-based and data-driven techniques
• Mathematical and Physical Modelling: Create detailed models that represent vehicle and subsystems virtually
• Validation and Performance Correlation: Validate models with on-road data and identify and implement correlation improvements
• Model Integration and Optimisation: Convert models into efficient, high-quality software components that meet accuracy, performance and scalability requirements
• Performance Analysis: Own processes, tools and experiments to evaluate on-road vehicle performance metrics
• Experimental Work: Plan, execute and analyze experimental tests to improve models accuracy
• Communication and collaboration: Share results and insights with stakeholders to foster collaboration and drive innovation

Perks and Benefits

• Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know
• A diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives
• Encouragement for passionate individuals who want to make a positive impact on self-driving cars and the world