
Software Engineer, Simulation
Wayve · London, United Kingdom
Evidence
The posting says Wayve sponsors visas, and Wayve is on the UK Home Office register.
Sponsor register
UK Home Office Register of Licensed Sponsors
Listed as Wayve Technologies Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.
Job posting
Relocation support and visa sponsorship where applicable
On jobs.ashbyhq.com/wayve, read 26 Oct 2026.
Still open
Seen on the job board
First seen 24 Oct 2026. We check every day and remove closed roles.
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jobs.ashbyhq.com/wayve
Wayve’s job board, hosted by Ashby.
Being on the register means Wayve can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.
As a software engineer in Wayve’s Core Simulation team, you will help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. Wayve’s end-to-end driving stack creates unique simulation challenges: rather than testing independently specified modules, we need to reproduce the behaviour of a learned driving system across a complex combination of sensor data, model inference, routing, control and vehicle dynamics.
Our simulator must be realistic enough to provide meaningful signal, reproducible enough for teams to trust the results, and descriptive enough to understand differences between simulated and on-road behaviour. Our open-loop and closed-loop simulation workflows share a common codebase, with different components executed and configured depending on the use case. You will initially work with the team focused on high-scale open-loop evaluation, while contributing to shared components and infrastructure used across the broader simulation system. Your day-to-day - Work hands-on in the shared modern C++ and Python simulation codebase.
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