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1.83 Robotics Software Engineer: LiDAR Mapping - Irvine, CA Based

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1.83 Robotics Software Engineer: LiDAR Mapping - Irvine, CA Based

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Field AI 1.83 Robotics Software Engineer: LiDAR Mapping - Irvine, CA Based

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1.83 Robotics Software Engineer: LiDAR Mapping - Irvine, CA Based

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Field AI Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Field AI 1.83 Robotics Software Engineer: LiDAR Mapping - Irvine, CA Based About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the Job Field AI is seeking a passionate robotics software engineer to play a vital role in the development of advanced robot perception and 3D mapping algorithms. In this role, you will work with a variety of laser scanners used for point cloud documentation in complex environments, and focus on designing and optimizing workflows for processing, managing, and documenting 3D point cloud datasets. The ideal candidate will not only have a deep understanding of point cloud processing algorithms but also the ability to deliver high-quality, maintainable code. Your contribution is essential to help us reliably deliver the products to customers and ensure our continued growth and value. What You Get To Do: Develop and refine point cloud processing pipelines, including scan alignment, noise reduction, segmentation, and object detection. Design and implement scalable systems to store and manage large 3D datasets with high reliability and performance. Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base. Explore and integrate emerging technologies and tools to enhance point cloud workflows. Ensure compliance with industry standards for 3D documentation and data quality. Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables. What You Have: 2 plus years of work experience as a Robotics engineer. Masters degree or Ph.D. in Computer Science, Engineering, or a related field, with expertise in robotics and 3D computer vision. Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code. Solid background knowledge of 3D geometry, computer vision, and robot kinematics (e.g., transformation matrices). Solid understanding of point cloud data structure and related algorithms (e.g., ICP, NDT). Hands-on experience with tools and libraries such as PCL, Open3D, and Cloud Compare. Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu. Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS). Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities. Strong work ethic, highly self-motivated, and excellent written and verbal communication skills. The Extras That Set You Apart: Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision. Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o. Experience with geographical information data and georeferencing algorithms. Knowledge of survey control and on-site calibration tools such as total stations. Compensation Salary will be based on factors such as relevant experience, competencies, and qualifications. Field AI Onsite Work Philosophy Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance. We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply. Seniority level

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Mid-Senior level Employment type

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