Geometric Maps Engineer: 3D SLAM & Offline Mapping

Aurora; Louisville (CO); On-site; USD 139,000 - 223,000; Full time

Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora is hiring a Software Engineer for Map Build's Geometric Generation team to create the 3D spatial foundation powering the Aurora Driver. You will own algorithms that convert millions of lidar logs into automated offline maps.

You will design and implement geometric map-generation methods, optimize for large-scale data, and improve runtime and reliability across distributed pipeline stages. Collaborating with neighboring teams on data contracts and integration requirements, you will help

Qualifications

• BS, MS or PhD in Computer Science, 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.

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

Linear algebra

Point-cloud processing

Education

Bachelor/Master/PhD in CS/Robotics/EE or related field

Job description

Aurora is hiring a Software Engineer for Map Build's Geometric Generation team to create the 3D spatial foundation powering the Aurora Driver. You will own algorithms that convert millions of lidar logs into automated offline maps.

You will design and implement geometric map-generation methods, optimize for large-scale data, and improve runtime and reliability across distributed pipeline stages. Collaborating with neighboring teams on data contracts and integration requirements, you will help