Senior Software Engineer, Geometric Map Generation

Auror Limited; Mountain View (CA); On-site; USD 160,000 - 260,000; Full time

Job summary

Aurora is seeking a Software Engineer for the Map Build's Geometric Generation team to develop the 3D spatial foundation powering the Aurora Driver. You will own algorithms that transform millions of lidar logs into offline maps, enabling scalable routes and efficient offline mapping at scale.

You will design and optimize geometric map-generation pipelines, drive performance, and collaborate across teams to define data contracts and integration standards.

Qualifications

• BS, MS or PhD in Computer Science, Robotics, Electrical Engineering or a related field, or equivalent practical experience.
• 6+ years of professional software development experience in C++ with track record of leading technically ambiguous, multi-quarter projects.
• 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++

3D geometry

SLAM

Pose-graph

Registration ICP

Optimization

Point clouds

Education

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

Job description

Aurora is seeking a Software Engineer for the Map Build's Geometric Generation team to develop the 3D spatial foundation powering the Aurora Driver. You will own algorithms that transform millions of lidar logs into offline maps, enabling scalable routes and efficient offline mapping at scale.

You will design and optimize geometric map-generation pipelines, drive performance, and collaborate across teams to define data contracts and integration standards.