Simulation Engineer (C++/Python) – Autonomous Driving

OpenDigital Limited

Greater London

Hybrid

GBP 75,000 - 110,000

Full time

14 days+
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Job summary

Wayve in London is seeking a software engineer for the Core Simulation team to help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. You will work with C++ and Python to build scalable, reliable components that support open-loop and closed-loop workflows across multiple teams.

The role emphasizes collaboration, high-quality code, and measurable impact on autonomous driving research.

Qualifications

  • Proven production software development in C++ and Python.
  • Experience in simulation, robotics or autonomous systems.
  • Ability to deliver scoped features independently.
  • Knowledge of software performance issues and trade-offs.
  • Experience with GenAI development tools.

Responsibilities

  • Develop and maintain production-quality components within the simulation system using modern C++ and Python.
  • Integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities into the shared simulation environment.
  • Support different simulation configurations and ensure components interact correctly across workflows.
  • Investigate differences between on-road and simulated execution, identifying issues across data, inference and simulated components.
  • Improve simulation reproducibility, reliability and debuggability through automated testing and better tooling.
  • Profile and improve simulator performance to support larger evaluation workloads.

Skills

C++
Python
Simulation
Robotics
Autonomous systems
Debugging
GenAI tools
Communication
Performance tuning

Tools

GenAI tools

Job description

Wayve in London is seeking a software engineer for the Core Simulation team to help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. You will work with C++ and Python to build scalable, reliable components that support open-loop and closed-loop workflows across multiple teams.

The role emphasizes collaboration, high-quality code, and measurable impact on autonomous driving research.

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