Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility.
You will be one of the founding engineers on Platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products.
This is a project-starter role. We are looking for someone who can define technical direction, shape architecture from scratch, align stakeholders across teams, and raise the engineering bar — not someone who joins and executes tasks. The primary language on this team is Scala or Python — strong technical leads in either are welcome.
What you’ll work on:
- Architecture and design of distributed data pipelines for large-scale road dataset processing
- Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes
- Data validation, quality gates, and traceability across the pipeline
- Cross-team technical leadership, architectural decision-making, and mentoring
- Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)
Technologies:
- Scala / Python (primary — one or the other)
- Apache Spark
- Kafka
- Akka
- Apache Airflow
- SQL / PostgreSQL
- AWS (Step Functions, ECS, Lambda, EMR)
- Java
- CI/CD (GitHub / GitLab)
