Vehicle Performance Modelling Engineer, Robotics

In this role you will develop and validate virtual vehicle models that enhance simulation accuracy for Wayve’s autonomous driving stack. You will turn modelling outputs into robust software components, run experiments to improve model correlation, and communicate insights across robotics, simulation, and product teams. The work supports simulation, evaluation, and partnerships at scale, contributing to Wayve’s mission to enable safe, universal autonomy. You will collaborate with cross-functional teams and have room to specialise in modelling, metrics, or experimental driving tests.

• Salaries benchmarked against market
• Equity and ownership sharing
• Relocation support and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets for training and conferences
• Comprehensive benefits including health/dental and maternity/paternity leave

• Develop physics-based and data-driven vehicle models
• Validate models against on-road data and improve correlations
• Convert models into production-quality software components with performance and scalability in mind
• Plan and analyse experimental tests at track or with external partners
• Share results with stakeholders across robotics, simulation, and product teams
• Create models that integrate with advanced modelling technologies for simulation and evaluation
• Define metrics/KPIs for simulations and feed insights back into modelling
• Coordinate model integration across simulation, hardware-in-the-loop, and correlation pipelines
• Collaborate with robotics, simulation, and product teams on vehicle characterisation
• Possibly specialise over time in modelling, correlation/metrics, or track experiments
• Be part of a team that scales and evolves practices in vehicle modelling

• Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics, or control systems
• Strong grasp of classical mechanics, numerical analysis, and computational methods
• Experience validating simulation models against experimental data
• Production-quality coding skills in C++ or Python
• Experience in vehicle dynamics for autonomous vehicles, automotive, or motorsport
• Familiarity with data-driven modelling approaches (ML or system identification) for parameters with uncertainty
• Knowledge of high-fidelity vehicle dynamics tools (e.g., Dymola, CarSim, CarMaker) and integrating them into workflows
• Willingness to learn and adapt beyond listed requirements

• Cross-functional collaboration
• Effective communication of results to technical and non-technical stakeholders
• Curiosity and willingness to learn
• Mathematical modelling and simulation
• C++ or Python production code
• Vehicle dynamics for autonomous vehicles