Software Engineer, Simulation

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.

Support different simulation configurations and ensure components interact correctly across applicable 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, observability and better developer tooling.

Profile and improve simulator performance, helping us run increasingly large evaluation workloads efficiently.

Work with internal users and adjacent engineering teams to clarify requirements, resolve integration issues and deliver scoped improvements.

Contribute to technical designs and help evolve the quality and maintainability of the simulation codebase.

Professional experience developing, delivering and maintaining production software in a collaborative engineering environment.

Strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in both.

Relevant experience in simulation, robotics, autonomous systems or similarly complex systems involving multiple interacting software components.

Good understanding of software and data-oriented design, including how to build code that is maintainable, reusable and extensible.

Experience debugging complex systems and reasoning about interfaces, data flows, timing and failure modes.

Understanding of common software performance issues and the ability to make pragmatic design trade-offs.

Ability to independently deliver scoped features, communicate progress clearly and raise risks or blockers early.

Experience using GenAI development tools, such as coding assistants or agents, to improve productivity while carefully reviewing, testing and validating their output.

Strong communication and collaboration skills.

Experience in autonomous vehicles or other robotics applications.

Experience simulating or modelling vehicles, robots or their dynamics.

Experience with middleware or integrating components across complex software systems.

Experience working with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise.

Experience integrating machine-learning inference into production systems.

Experience with performance profiling, observability or debugging distributed systems.

Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

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DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.