What You'll Do
Mapping & Localization
-
Improve ICP/GICP/NDT registration workflows
-
Support SLAM and localization pipelines across mapping systems
-
Improve scan stitching accuracy and mapping robustness
-
Optimize point cloud registration and alignment workflows
-
Improve localization performance across large-scale operational environments
Point Cloud Processing & Optimization
-
Improve point cloud processing performance and scalability
-
Support geometric optimization and scan matching workflows
-
Debug and improve existing mapping and localization systems
-
Contribute to mapping quality and operational reliability improvements
Cross-Functional Collaboration
-
Partner closely with mapping, robotics, and deployment teams
-
Support downstream processing and operational deployment workflows
-
Help improve deployment readiness and mapping scalability
-
Contribute to debugging and operational problem-solving across mapping systems
What You Bring
-
Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field
-
3–5 years of industry or applied robotics experience
-
Strong experience with SLAM and localization systems
-
Experience with ICP/GICP/NDT registration techniques
-
Strong understanding of point cloud registration and scan matching
-
Strong modern C++ engineering skills
-
Experience working within production robotics or mapping environments
-
Strong debugging and systems-thinking capability
-
Ability to operate effectively in fast-moving startup environments
-
Ownership mentality with strong execution and problem-solving instincts
What Sets You Apart
-
Experience with LiDAR-based mapping systems
-
Experience with robotics middleware
-
Background in robotics, autonomy, industrial scanning, or localization systems
-
Familiarity with PCL (Point Cloud Library)
-
Experience balancing research ideas with production engineering realities
-
Strong operational and deployment-oriented mindset