Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Vehicle Performance Modelling Engineer you will be responsible for developing vehicle dynamics models and ensure simulations accurately represent real-world performance. This role provides the opportunity to implement the mathematical models, integrate them into the software stack, and evaluate their accuracy through simulation and experimental testing.
This role offers brings a unique opportunity to shape the future of vehicle dynamics at Wayve by creating accurate representations of vehicles for both online and offline systems. You will work cross-functionally with robotics, simulation and product teams to integrate vehicle models into Wayve’s innovative end to end driving stack.
Key responsibilities
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 analyse experimental tests to improve models accuracy.
Communication and collaboration: Share results and insights with stakeholders to foster collaboration and drive innovation.
About you
In order to set you up for success as a Vehicle Performance Modelling Engineer at Wayve, we’re looking for the following skills and experience.
Essential
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.
Desirable
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.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Wayve is building the next generation of autonomous driving technology. They are developing an end-to-end autonomous driving system that uses deep learning and AI to enable vehicles to navigate roads and environments.