Software Engineer, Simulation
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and maintain simulation components in C++ and Python. You will integrate driving-stack and vehicle-platform capabilities, investigate differences between road and simulated execution, improve testing and observability, optimise performance, and deliver scoped improvements with adjacent engineering teams.
Requirements
- Production software development experience
- C++ and Python software development skills
- Experience with simulation, robotics, autonomous systems, or complex interacting software systems
- Software and data-oriented design knowledge
- Experience debugging complex systems
- Understanding of interfaces, data flows, timing, and failure modes
- Understanding of software performance issues and design trade-offs
- Ability to independently deliver scoped features
- Experience using generative AI development tools
- Communication and collaboration skills
- Experience in autonomous vehicles or robotics
- Experience simulating or modelling vehicle or robot dynamics
- Experience with middleware or component integration
- Experience with camera, radar, lidar, or GNSS sensor data
- Experience integrating machine learning inference into production systems
- Experience with performance profiling, observability, or distributed-system debugging
- Familiarity with batch processing, cloud infrastructure, or GPU workloads
Responsibilities
- Develop and maintain simulation components in C++ and Python
- Integrate driving-stack, robot-system, and vehicle-platform capabilities
- Support simulation configurations across workflows
- Investigate differences between on-road and simulated execution
- Improve reproducibility, reliability, and debuggability
- Profile and improve simulator performance
- Clarify requirements and resolve integration issues with internal users and engineering teams
- Contribute to technical designs and codebase maintainability
Benefits
- Hybrid working arrangement
- Core working hours with flexibility to determine a schedule with the team