Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team, we're focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data.
We’re looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We’re a growing AI company, building the largest ML training platform and you can be at the heart of this!
Are you excited by building highly distributed cloud based systems? We need to 100x our total training throughput by horizontal scaling on more GPUs. That said, tracing, profiling, monitoring and debugging are key capabilities we need to enable. You will work in small teams to write code, debug hard problems which impact real world applications and help us win the space-race of the 2020’s: Autonomous Driving.
We are looking for Software Engineers who are passionate about scaling up our training infrastructure which includes a massive data infrastructure for collecting exabytes of data from hundreds of on-road vehicles, a large scale ML training environment which helps shape our autonomous driving models, and debugging hard problems that occur in a production environment as we operate cars in London
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Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.
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