Senior Software Engineer - Geospatial Data & Route Platform (Full-Stack, AI/Autonomous Systems)

engradar • United Kingdom

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AI Summary

Build and scale geospatial data pipelines, route planning systems, and AI-driven mapping solutions for Wayve’s autonomous driving platform. Own full-stack services in Python/TypeScript, deploy on Azure/Kubernetes, and collaborate cross-functionally to enhance AI model training and real-world vehicle operations. Requires expertise in large-scale data engineering, cloud infrastructure, and geospatial technologies.

Key Highlights

Full-stack ownership of geospatial services and data pipelines for autonomous driving AI

End-to-end development of route planning, map enrichment, and simulation datasets

Global-scale data engineering with PySpark, Databricks, and cloud-native deployment on Azure/Kubernetes

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Key Responsibilities

Develop full-stack geospatial services in Python and TypeScript to solve AI-driven route planning and map enrichment challenges

Design and operate global-scale data pipelines using PySpark and Databricks to integrate fleet data with road-network information

Build and maintain applications/datasets for route planning, model training, and simulation using geospatial APIs (e.g., Mapbox, TomTom, Google Maps)

Deploy and monitor services on Azure and Kubernetes, owning infrastructure end-to-end

Collaborate with AI/ML teams to enhance map data for autonomous vehicle training and evaluation

Technical Skills Required

Python SQL Azure

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Benefits & Perks

Market-benchmarked salaries with annual reviews

Equity and long-term ownership opportunities

Relocation support and visa sponsorship where applicable

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Nice to Have

Experience with geospatial data (OpenStreetMap, PostGIS, Overture Maps)

Bazel or monorepo build systems

Workflow orchestration tools (Flyte, Airflow)

Job Description

EngRadar / WayveSoftware Engineer - Map & Route is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.Remote London, United Kingdom Full-time Posted todayApply directly →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.

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