Description
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.
You’ll work closely with machine learning teams to understand their workflows and turn complex requirements into stable, scalable and intuitive software. You’ll spend much of your time designing and writing Python, leading projects from discovery through delivery, improving engineering standards and supporting users as they push the scale and performance of their models.
You’ll build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing and observability. You’ll improve the reliability, performance and developer experience of systems used across Wayve, helping teams train models efficiently on large GPU clusters and work with camera, radar, lidar and other data sources.
You have extensive Python experience and a track record of designing, delivering and maintaining high-quality software systems at scale. You understand software architecture, testing and observability, and have experience with concurrent, parallel or distributed computing. Familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments,ideally Azure,is highly valuable.
Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely.
Salaries benchmarked against the market annually, meaningful equity, sharing in the ownership and long term success of Wayve, relocation support and visa sponsorship where applicable, hybrid working, core hours and the chance to work hands on in vehicle workshops and labs, learning and development budgets with support for training, conferences and growth, comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.