Software Engineer, Mapping

Aurora Innovation
Seattle, Washington$162k – $260kPosted 27 March 2026

Job Description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Software Engineer to partner with our Mapping team to deliver stable, fast, scalable solutions for the Aurora Atlas – our mapping storage and versioning system. The Atlas powers many key functions, from map update processes, test creation systems, offboard simulations, visualizations, and onboard perception and decision making. 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. Expert proficiency in C++ with a commitment to writing clean, testable, and production-ready code. Deep understanding of distributed systems principles, with a proven ability to deliver scalable, reliable backend systems. Strong understanding of cloud-native technologies (e.g., AWS, GCP, Kubernetes). Excellent communication and collaboration skills. Proven ability to rapidly learn new technologies and adapt to evolving requirements. Desirable Qualifications: M.S. or Ph.D in Computer Science or a similar technical field, or equivalent practical experience. Domain experience with geospatial data, mapping systems, or high-throughput data pipelines. Working proficiency in Python and Golang. The base salary range for this position is $162,000 - $260,000. 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. #LI-Mid-Senior 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 res ... (truncated, view full listing at source)
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