Mapping & Localization Engineer
Quick Summary
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable,
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
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
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
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
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
Location & Eligibility
Listing Details
- Posted
- May 23, 2026
- First seen
- May 24, 2026
- Last seen
- May 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- May 24, 2026
Signal breakdown

Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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