SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 162,000 - 260,000 / annual
Aurora is building self-driving technology for commercial transportation. The Mapping Infrastructure team manages two critical systems: the Aurora Atlas (a versioned HD mapping system supporting continuous editing, validation, simulation, and vehicle release processes) and the Fleet Intelligence system (dynamic map delivery to vehicles in real-time).
You will design, develop, and maintain scalable backend infrastructure and data processing pipelines for storing and serving map data as Aurora expands commercial routes. Key responsibilities include establishing robust testing and performance optimization practices to ensure Atlas system stability and scalability, and partnering closely with internal and external customers to influence design and features.
The role requires 4+ years building server-side and data processing systems with deep understanding of distributed systems principles. You must have strong experience with cloud-native technologies (AWS, GCP, Kubernetes) and production-level software development in C++ or Go. Domain experience with geospatial data, mapping systems, or high-throughput data pipelines is desirable. This is an ideal fit for engineers energized by challenging problems at the intersection of scalable backend systems, data versioning, and cross-team collaboration.
