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