2 months ago
London, United KingdomMid Level
Responsibilities
- Develop and maintain production-quality simulation components using modern C++ and Python.
- Integrate driving-stack components, simulated robot systems, and vehicle-platform capabilities into the shared simulation environment.
- Support multiple simulation configurations and ensure correct interaction across workflows.
- Investigate discrepancies between on-road and simulated execution across data, inference, and simulated components.
- Improve simulation reproducibility, reliability, debuggability, and developer tooling through automated testing and observability.
- Profile and optimize simulator performance for increasingly large evaluation workloads.
- Work with internal users and adjacent engineering teams to clarify requirements, resolve integration issues, and deliver scoped improvements.
- Contribute to technical designs and improve the quality and maintainability of the simulation codebase.
Requirements
- Professional experience developing, delivering, and maintaining production software in a collaborative engineering environment.
- Strong C++ and Python development skills, with depth in at least one and effective working ability in both.
- Relevant experience in simulation, robotics, autonomous systems, or similarly complex systems with interacting software components.
- Understanding of software and data-oriented design, including maintainable, reusable, and extensible code.
- Experience debugging complex systems and reasoning about interfaces, data flows, timing, and failure modes.
- Understanding of common software performance issues and pragmatic design trade-offs.
- Ability to independently deliver scoped features, communicate progress, and raise risks or blockers early.
- Experience using generative-AI development tools such as coding assistants or agents, with careful review, testing, and validation of their output.
- Strong communication and collaboration skills.
- Desirable experience includes autonomous vehicles or robotics, vehicle or robot dynamics, middleware, complex-system integration, sensor data, machine-learning inference in production, performance profiling, observability, distributed systems, large-scale batch processing, cloud infrastructure, or GPU workloads.
Benefits
- Full-time position based in Wayve’s London office.
- Hybrid working policy combining office and workshop time with working from home.
- Core working hours with flexibility to determine a suitable schedule with the team.
- Inclusive interview experience with accommodations or adjustments available on request.
About Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.