Mapping & Localization Engineer
About The Position
FieldAI's Irvine team is focused on embodied AI, integrating real robots, sensors, and field deployments. Located in Southern California's robotics hub, the team develops risk-aware, reliable, and field-ready AI systems to address complex robotics challenges and maximize embodied intelligence. The work involves shipping products, testing on hardware, and continuous improvement through real-world deployments. FieldAI is seeking a Mapping & Localization Engineer to enhance mapping quality, localization accuracy, and scan registration capabilities within their robotics and mapping platform. This role will concentrate on SLAM and localization workflows, ICP/GICP/NDT registration pipelines, point cloud processing, scan stitching accuracy, geometric optimization, and mapping robustness and operational reliability. The engineer will collaborate with mapping, robotics integration, and deployment teams to improve mapping performance for large-scale facility scanning and robotics-enabled workflows.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
