Design and build data pipelines with PySpark and Databricks to enrich fleet data with mapping and road-network information at global scale.
Build applications and datasets that support route planning and the preparation of map data for training and simulation.
Integrate with navigation and mapping APIs from providers such as Mapbox, TomTom and Google Maps.
Maintain, support and improve the services the team already runs.
Deploy and operate your services on Azure and Kubernetes, owning them end to end.
🧩 What you’ll be working on
Global-scale geospatial enrichment pipelines that tell us where we’ve driven and what the road network looks like.
Route-planning applications and datasets that help our teams decide where to drive next.
Map data preparation for model training and simulation.
New services you’ll take from idea to production and lead end to end.
🙌 You should apply if
You are a strong, hands-on Python engineer who can deliver high-quality production code at pace.
You are comfortable with an AI-assisted or AI engineering workflow (ideation, planning, implementation and review).
You have built and operated large-scale data pipelines using Spark or PySpark.
You are comfortable writing SQL to query and analyse large datasets.
You have working knowledge of cloud infrastructure and container orchestration, ideally Azure and Kubernetes, and are happy to own deployment, monitoring, and observability of your services.
You enjoy taking ownership of new services and seeing them through end to end.
Experience with geospatial data processing, road-network data or routing engines (e.g. OpenStreetMap, TomTom, HERE or Overture data, PostGIS, navigation APIs) would be a strong advantage.
Experience with Bazel or monorepo build systems is desirable but not mandatory.
Experience with workflow orchestration tools such as Flyte or Airflow would be a bonus.
🌱 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.
More about Wayve
🚀 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. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
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
Initial call / recruiter screen (30 mins)
Competency interviews: Python Programming (60 mins) and Hiring Manager interview (45 mins)
Deep-dive technical interviews: Systems Design (60 mins) and Domain interview (60 mins)
Final interview: Mission and Values Alignment (45 mins).
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.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/
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.
