Autonomy-Driven Vehicle Dynamics Modelling Engineer

Wayve

Greater London

On-site

GBP 70,000 - 110,000

Full time

7 days ago
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Job summary

Wayve is seeking a Vehicle Performance Modelling Engineer in the UK to develop physics-based and data-driven vehicle models and integrate them into the end-to-end driving stack. You will work across robotics, simulation and product teams to ensure models accurately reflect real-world performance.

The role involves validating models against on-road data, planning experiments, and optimizing software components for efficiency and scalability within Wayve's autonomous driving stack.

Qualifications

  • 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.

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 improve correlation.
  • Convert models into efficient software components meeting accuracy and performance.
  • Own processes and tools to evaluate on-road vehicle performance metrics.
  • Plan, execute and analyse experimental tests to improve model accuracy.
  • Share results with stakeholders to drive collaboration and innovation.

Skills

Mathematical modelling
Simulation algorithms
Vehicle dynamics
Robotics / control systems
C++
Python

Tools

Dymola
CarSim
CarMaker

Job description

Wayve is seeking a Vehicle Performance Modelling Engineer in the UK to develop physics-based and data-driven vehicle models and integrate them into the end-to-end driving stack. You will work across robotics, simulation and product teams to ensure models accurately reflect real-world performance.

The role involves validating models against on-road data, planning experiments, and optimizing software components for efficiency and scalability within Wayve's autonomous driving stack.

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