Software Engineer, Maps Infra

We are looking for a Software Engineer to partner with our Mapping Infrastructure Team. Our team manages infrastructure for Aurora's "static map" (the Aurora Atlas https://aurora.tech/newsroom/the-atlas-our-hd-mapping-system) and Aurora's "dynamic map" (the Fleet Intelligence system).

- The Atlas https://aurora.tech/newsroom/the-atlas-our-hd-mapping-system is a versioned mapping system that supports continuous editing and periodic vehicle release process. This system allows massive validation and simulation batch workflows to ensure that our vehicles can safely navigate the world. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making.

This system needs to scale dramatically to support aggressive map expansion targets.

- The Fleet Share system delivers dynamic data to vehicles continuously. This system ensures rapid delivery of critical data to our Fleet including: unexpected signs, weather events, and map anomalies detected by vehicles in our fleet. This system needs to scale to the 10's of thousands of vehicles projected in the next couple of years.

This role is ideal for those who are energized by challenging problems at the intersection of scalable backend systems, data versioning, and cross team collaborations.

- Design, develop, and maintain the scalable backend infrastructure and data processing pipeline for storing and serving map data as we onboard the Aurora Driver to more commercial routes.

- Establish and maintain robust testing and performance optimization practices to ensure the stability and scalability of the Atlas system.

- Partner closely with internal and external customers to influence existing and future designs and features.

- 4+ years experience building server side and data processing systems

- Deep understanding of distributed systems principles with a proven ability to deliver scalable, reliable backend systems

- A commitment to writing robust, testable, and production-ready code

- Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes)

- Experience writing and maintaining production-level software in C++ or Go

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

For roles based in San Francisco, CA, Mountain View, CA, and Seattle, WA: The salary range for this position is $139,000 - $223,000 per year.

For roles based in Pittsburgh, PA and Louisville, CO: The salary range for this position is $126,000 - $201,000 per year.

Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future.

The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.