Software Engineer - Map & Route

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 Map & Route Team

Our Map & Route team sits within Wayve’s Automotive Platforms division in Vehicle Software Engineering, and builds the geospatial foundations behind our AI driver. Working with global-scale data, the team turns road-network and navigation data into reliable products used across Wayve, building geospatial services and data products to support company operations. We work with our model development, experimentation, and evaluation platforms to build an AI driver that uses maps and navigation data like an expert human driver by using map information to enhance training and evaluation of performance. We are a full-stack team owning mapping end to end, getting to touch work that is infrastructure, data engineering, data science, backend and frontend.

🧠 Your day-to-day

• Write full-stack services in Python and Typescript, creating novel geospatial services to solve challenging and unique problems we face in building our AI driving products.

• Collaborate with internal teams to understand requirements and build solutions with global geospatial data.

• 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:

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