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About the Role
Develop vehicle dynamics models and ensure simulations accurately represent real-world performance. Implement mathematical models, integrate them into the software stack, and evaluate their accuracy through simulation and experimental testing. Shape the future of vehicle dynamics by creating accurate representations of vehicles for both online and offline systems. Work cross-functionally with robotics, simulation and product teams to integrate vehicle models into Wayve’s innovative end to end driving stack.
Responsibilities
- Develop virtual vehicle models using physics-based and data-driven techniques.
- Create detailed models that represent vehicle and subsystems virtually.
- Validate models with on-road data and identify and implement correlation improvements.
- Convert models into efficient, high-quality software components that meet accuracy, performance and scalability requirements.
- Own processes, tools and experiments to evaluate on-road vehicle performance metrics.
- Plan, execute and analyse experimental tests to improve models accuracy.
- Share results and insights with stakeholders to foster collaboration and drive innovation.
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.
- 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.
Skills
- Vehicle Dynamics Modelling
- Mathematical Modelling
- Simulation Algorithms
- Robotics
- Control Systems
- Classical Mechanics
- Numerical Analysis
- Computational Methods
- Model Validation
- C++
- Python
- Autonomous Vehicles
- Automotive
- Motorsport
- Data-driven Approaches
- Machine Learning
- System Identification
- Dymola
- CarSim
- CarMaker