Software Engineer, Maps Infra

Aurora•Mountain View, CA

2d•Hybrid

About The Position

Aurora is seeking a Software Engineer to partner with its Mapping Infrastructure Team, which manages infrastructure for the Aurora Atlas static map and the Fleet Intelligence dynamic map system. The Atlas is a versioned mapping system that supports continuous editing and periodic vehicle releases, as well as large-scale validation and simulation workflows. It supports map updates, test creation, offboard simulations, visualizations, and onboard perception and decision-making. The system must scale to support Aurora’s map expansion goals. Fleet Share continuously delivers dynamic information to vehicles, including unexpected signs, weather events, and map anomalies detected by the fleet, and must scale to tens of thousands of vehicles. The role focuses on scalable backend systems, data versioning, and cross-team collaboration. The engineer will build and maintain backend infrastructure and data-processing pipelines for map data as the Aurora Driver expands to more commercial routes, while improving the stability and scalability of the Atlas system. The position is expected to work from an Aurora office at least three days per week; some roles may require up to five days per week in person.

Requirements

At least 4 years of experience building server-side and data-processing systems.
Deep understanding of distributed-systems principles and a proven ability to deliver scalable, reliable backend systems.
Commitment to writing robust, testable, production-ready code.
Strong understanding of cloud-native technologies such as AWS, GCP, or Kubernetes.
Excellent communication and collaboration skills.
Experience writing and maintaining production-level software in C++ or Go.

Nice To Haves

Domain experience with geospatial data, mapping systems, or high-throughput data pipelines.

Responsibilities

Design, develop, and maintain scalable backend infrastructure and data-processing pipelines for storing and serving map data.
Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.
Partner with internal and external customers to influence existing and future designs and features.