Description
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
You will be part of our ADAS team, bringing Wayve's end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners.
Your day-to-day will involve:
- Leading a team of around seven ML engineers, with 60% management and 40% hands-on time
- Acting as tech lead across multiple workstreams, setting the vision for how problems get solved
- Reviewing and approving delivery plans for tasks you own
- Partnering with TPMs on planning and execution, and with Product to help shape priorities
- Coaching and developing the ML engineers on your team
You will be working on:
- Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme
- Bringing ML models from proof of concept through to production on embedded automotive hardware
- Optimising runtime and inference for constrained hardware
- Building and scaling a new team during a high-priority growth phase
Requirements:
- Expert background in developing ML, specifically computer vision
- Experience as a people manager and developing engineers
- Hands-on experience with embedded runtime and inference optimisation
- Clear communication and thoughtful collaboration with colleagues
About Wayve: Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience.
Benefits:
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support and visa sponsorship where applicable
- Hybrid working
- Learning and development budgets
- Comprehensive benefits including health insurance, dental, and more