3D Geometric Maps Software Engineer

Aurora; San Francisco (CA); Hybrid; USD 139,000 - 223,000; Full time

Job summary

Aurora is seeking a Software Engineer to build the 3D spatial foundation powering the Aurora Driver. You will own geometric map-generation algorithms and work on large-scale, scalable pipelines for offline maps derived from lidar data.

You'll design and optimize algorithms, improve system reliability, and collaborate across teams to define data contracts and integration needs for autonomous mapping workflows. A strong background in C++, 3D geometry, and large data pipelines is essential.

Qualifications

• 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.

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++ programming

3D geometry

Point-cloud processing

Linear algebra

Numerical optimization

Debugging large datasets

Education

BS/MS/PhD in CS/Robotics/EE or equivalent

Tools

Python

Beam

Spark

AWS

Job description

Aurora is seeking a Software Engineer to build the 3D spatial foundation powering the Aurora Driver. You will own geometric map-generation algorithms and work on large-scale, scalable pipelines for offline maps derived from lidar data.

You'll design and optimize algorithms, improve system reliability, and collaborate across teams to define data contracts and integration needs for autonomous mapping workflows. A strong background in C++, 3D geometry, and large data pipelines is essential.