Vehicle Performance Modelling Engineer London, United Kingdom

OpenDigital Limited; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Wayve is seeking a Vehicle Performance Modelling Engineer to develop vehicle dynamics models and ensure simulations reflect real-world performance. You will implement mathematical models, integrate them into the software stack, and evaluate accuracy through simulation and experiments.

Collaborating with robotics, simulation and product teams, you will shape the end-to-end driving stack and drive innovation in vehicle modelling for online and offline use.

Qualifications

• Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics or control systems.
• Strong grounding in classical mechanics, numerical analysis and computational methods.
• Experience validating simulation models against experimental data.
• Proficient in C++ or Python software development.

Responsibilities

• Develop virtual vehicle models using physics-based and data-driven techniques.
• Create detailed models representing vehicle subsystems virtually.
• Validate models with on-road data and improve correlation.

Skills

Vehicle dynamics modelling

Mathematical modelling

Simulation algorithms

C++ or Python

Tools

Dymola

CarSim

CarMaker

Job description

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

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 modeling tools (e.g. Dymola, CarSim, CarMaker) and integration in simulation workflows.

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.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.