Software Engineer - Map & Route

Join Wayve’s Map & Route Team to build geospatial services that power autonomous driving. You will own end-to-end development of location-aware data services and pipelines at global scale, collaborating across data science, backend, and frontend to enable reliable route planning and map preparation for training and simulation. You’ll work with Maps and navigation APIs to enrich fleet data and support deployment in Azure and Kubernetes. This role offers hands-on building of production-grade, geospatial-first infrastructure that advances a scalable AI driver.

• Salaries benchmarked against the market
• Equity and ownership in Wayve
• Relocation support and visa sponsorship
• Hybrid working model
• Learning and development budgets
• Comprehensive health benefits and wellbeing support

• Develop full-stack geospatial services in Python and Typescript
• Collaborate with internal teams to understand requirements and deliver solutions with global geospatial data
• Design and build data pipelines with PySpark and Databricks for global-scale mapping data
• Create datasets and applications to support route planning and map data for training and simulation
• Integrate with navigation/mapping APIs from providers like Mapbox, TomTom and Google Maps
• Maintain, support, and improve existing services
• Deploy and operate services on Azure and Kubernetes end-to-end

• Strong hands-on Python engineer delivering production-quality code
• Experience with AI-assisted or AI engineering workflows
• Experience building and operating large-scale data pipelines using Spark or PySpark
• Proficient in SQL for querying and analyzing large datasets
• Cloud infrastructure and container orchestration knowledge (Azure and Kubernetes) and ownership of deployment, monitoring, and observability
• Ability to own new services end-to-end
• Experience with geospatial data processing or routing data (OpenStreetMap, TomTom, HERE, Overture, PostGIS) is advantageous
• Familiarity with Bazel or monorepo builds is desirable but not mandatory
• Experience with workflow orchestration tools (Flyte or Airflow) is a bonus

• Ownership mindset and drive to deliver end-to-end solutions
• Comfortable in an AI-enabled development workflow
• Collaborative, cross-functional collaboration across teams
• Python
• Typescript
• PySpark/Databricks