Geometric Map Engineer: 3D SLAM for AVs

Aurora Innovation Inc.; San Francisco (CA); On-site; USD 139,000 - 223,000; Full time

Benefits offered by this job

Job summary

Aurora Innovation Inc. is hiring a Software Engineer for Geometric Generation to build the 3D spatial foundation powering the Aurora Driver.

You will own algorithms that process millions of lidar logs into automated offline maps, tackling speed and scalability challenges as Aurora expands to new routes. Design and implement geometric map-generation algorithms, optimize large-scale pipelines, and collaborate across teams on data contracts while ensuring robust performance and safety in autonomous

Qualifications

• BS, MS or PhD in CS, Robotics, Electrical Engineering or 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

Responsibilities

• 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

Skills

C++

Python

3D geometry

Point-cloud processing

SLAM/mapping

Pose-graph optimization

Beam/Spark

AWS

Geospatial concepts

Debugging large datasets

Education

BS in CS/Robotics/EE

MS/PhD

Job description

Aurora Innovation Inc. is hiring a Software Engineer for Geometric Generation to build the 3D spatial foundation powering the Aurora Driver.

You will own algorithms that process millions of lidar logs into automated offline maps, tackling speed and scalability challenges as Aurora expands to new routes. Design and implement geometric map-generation algorithms, optimize large-scale pipelines, and collaborate across teams on data contracts while ensuring robust performance and safety in autonomous