Software Engineer, Mapping
$162k - $260kFull-time
Aurora
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.
- 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.
- 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.
- Senior
Vacancy posted a month ago
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