Vehicle Performance Modelling Engineer

Wayve
London, UK
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£61,800.0
Working hours
Regular working hours

Tech stack

C++ (Programming Language) Computer Simulation Experimental Data Python (Programming Language) Machine Learning Software Engineering Systems Integration Model Validation Data Analytics

Job description

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., * 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.

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.

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.

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.

About the company

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.

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