Software Engineer, AI Libraries
Wayve · London, United Kingdom
Roboticsonsite
At a glance
Highlights
- Build embodied intelligence that moves real vehicles safely at scale.
- Create reusable libraries for data loading, training and inference.
- Enable mapless driving intelligence that powers any vehicle, anywhere.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity sharing in long-term success
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on vehicle workshops and labs
- Learning and development budgets for training and conferences
- Comprehensive benefits including health insurance, dental and enhanced parental leave
Ideal candidate
A platform-minded software engineer who loves building intuitive, scalable tools for ML teams and thrives with real ownership in a fast-evolving autonomy mission.
Requirements
- Extensive Python experience designing, delivering and maintaining high-quality software systems at scale
- Understanding of software architecture, testing and observability
- Experience with concurrent, parallel or distributed computing
- Familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments, ideally Azure
- remote policy
- Hybrid working model combining in-office collaboration with remote focus time
- visa sponsorship
- Visa sponsorship where applicable
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
Posted · Last seen