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# Software Engineer, Geometric Generation

- **Company:** Aurora Innovation, Inc.
- **Location:** Superior, CO, United States
- **Experience:** Experienced
- **Salary:** $139,000 - $223,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Vision, Big Data, C++ (Programming Language), Software Debugging, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Software Engineering, Apache Spark, Information Technology, Lidar
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-geometric-generation-louisville-co--c42a24a2-264d-471b-bb98-df4f9fcde638

## About the Role

Software Engineering, Logistics, LinkedIn, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Software Engineering, Algorithms, Technical Recruiting, Sales Pipeline, Contract Requirements, Electrical Engineering, * BS, MS or PhD in Computer Science, Robotics, Electrical Engineering or a related field, or equivalent practical experience.

 * 3+ years of professional software development experience in C++.
 * Hands-on experience with 3D geometry and point-cloud processing, such as registration (ICP, scan matching), pose-graph or nonlinear least-squares optimization, surface reconstruction or lidar-based SLAM/mapping.
 * Strong grasp of linear algebra, spatial transforms, numerical optimization and probability.
 * Experience debugging and improving data quality across large datasets or pipelines., * Experience building HD maps or map-building systems for autonomous vehicles or robotics.
 * Experience applying computer vision or semantic segmentation to geometric problems.
 * Experience with large-scale distributed data processing (e.g., Beam, Spark, batch compute on AWS) and performance optimization.
 * Familiarity with geospatial concepts: coordinate frames, map projections, tiling schemes.
 * Proficiency in Python

## Description

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., * Design, implement and own geometric map-generation algorithms, including sensor optimization, large scale pose-graph optimization and multi-modal alignment,

 * Identify and build a system that will be immune to failure modes. In doing so, be expected to root cause and ship algorithmic fixes with measurable success criteria.
 * Improve the runtime and scalability of large-scale distributed map-build pipeline stages.
 * Collaborate with neighboring team on defining data contracts and integration requirements