Vehicle SW Engineering · Robotaxi
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.
🛠️ About our Engineering Teams
How do we know when an AI Driver is ready for a fully driverless Robotaxi service? Our Product Architecture & Safety team brings together data, systems thinking and engineering expertise to help answer that question.
Working closely with Model Development, Behavioural Validation, Safety and Robotaxi Engineering, you’ll turn real-world driving, validation and operational data into evidence of what the Wayve AI Driver can do today—and what needs to improve next. Your work will help shape development priorities and measure progress towards a safe, reliable and scalable driverless service.
🧠 Your day-to-day
You’ll take ownership of hands-on analysis, from exploring complex datasets in Python and SQL to sharing findings that guide product and engineering decisions.
- Investigate driving behaviours and operational events to understand where, why and how often the system falls short of driverless service expectations.
- Build practical metrics, performance baselines and dashboards to track progress across model, software and product releases.
- Apply statistical methods to assess rare events, quantify uncertainty and distinguish meaningful improvements from noise.
- Work with teams across Wayve to turn findings i