This Role

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) and Aurora's "dynamic map" (the Fleet Intelligence system).

• The Atlas 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.

In this role you will:

• 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.

Required Qualifications:

• 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)
• Excellent communication and collaboration skills
• Experience writing and maintaining production-level software in C++ or Go

Desirable Qualifications:

• 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.

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together - all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what.