Simulation Engineer - Driving Intelligence & Validation

Wayve; Greater London; On-site; GBP 75,000 - 125,000; Full time

Benefits offered by this job

Private healthcare

Paid time off

Mental health support

Team socials

Equity package

Learning budget

Job summary

Wayve is seeking a software engineer for its Core Simulation team to help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. You will own features across C++ and Python, integrate driving-stack components, and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams.

The role focuses on hands-on development, performance profiling, and improving reproducibility and reliability of simulations while supporting large-scale evaluation

Qualifications

• Hands-on software engineering in C++ and Python.
• Strong communication and collaboration skills.
• Experience debugging complex systems and reasoning about interfaces, data flows and timing.

Responsibilities

• Develop and maintain production-quality components within Wayve’s simulation system using modern C++ and Python.
• Integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities into the shared simulation environment.
• Profile and improve simulator performance for large evaluation workloads.
• Investigate differences between on-road and simulated execution to identify issues across data, inference and simulated components.

Skills

C++

Python

Software design

Debugging complex systems

Performance profiling

Strong communication

Tools

GenAI tools

Job description

Wayve is seeking a software engineer for its Core Simulation team to help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. You will own features across C++ and Python, integrate driving-stack components, and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams.

The role focuses on hands-on development, performance profiling, and improving reproducibility and reliability of simulations while supporting large-scale evaluation