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 AI Platform TeamOur AI Platform teams build the foundations that enable Wayve's machine learning engineers and researchers to train, evaluate and deploy models at scale. Within the AI Libraries team, you'll create high-quality platforms, tools and reusable abstractions that support thousands of GPUs and help accelerate the development of our autonomous-driving technology.
Your day-to-dayYou'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.
What you'll be working onYou'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 should apply ifYou have deep Python expertise and a proven track record of leading the design, delivery and long-term evolution of high-quality software systems at scale. You can turn complex requirements across ML teams into stable, reusable libraries and clear APIs, set technical direction, and raise the bar for software architecture, testing and observability. You remain hands-on while guiding other engineers and driving projects end to end, from shaping requirements through to adoption and maintenance. Experience with concurrent, parallel or distributed computing is important; familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments-ideally Azure-is highly valuable. This is a Staff-level software and platform engineering role, not an ML modelling position.
Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.
How we work - Locations & Flexible Working: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. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
The Interview Process:Our process is clear and respectful of your time:
- Recruiter screen
- Competency Interviews
- Deep-dive technical interviews
- Final interview
We'll always explain the format and work around your availability.
What's in it for you (Location dependant): 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
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you'll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we'd really like to hear from you.
For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
