Company Description O-HIVE.AI is an AI-powered collaboration platform designed to enhance teamwork in dynamic environments by creating seamless connections between real-world settings and digital project management. The platform enables users to capture sites in dimensions such as photos, videos, and 3D scans, utilizing AI for instant detection and tagging. Through natural voice or text commands, O-HIVE facilitates task management and transforms raw data into actionable insights, projects, and detailed reports. Serving industries from field operations to enterprise collaboration, O-HIVE transforms how teams interact and execute tasks with cutting-edge spatial intelligence. Role Description This is a full-time on-site role based in Seoul, South Korea, for a Full Stack Engineer. The Full Stack Engineer will be responsible for designing, developing, and maintaining both front-end and back-end components of the platform. Responsibilities include implementing responsive user interfaces, optimizing APIs, and ensuring platform scalability and performance. The engineer will collaborate with cross-functional teams to deliver high-quality features and solutions, align with project timelines, and actively contribute to advancing O-HIVE's innovative platform. Qualifications Expertise in Back-End Web Development and Full-Stack Development Proficiency in Front-End Development and familiarity with Cascading Style Sheets (CSS) Experience in Software Development with a focus on building robust and scalable applications Strong problem-solving skills and the ability to work collaboratively in a team environment Proficiency in front-end frameworks (React, Angular, etc.) and back-end technologies (Node.js, Python, etc.) is preferred Knowledge of database management systems and cloud computing services is a plus Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent industry experience
About the Role We are seeking a highly skilled 3D Computer Vision Engineer with expertise in 3D reconstruction to join our R&D team. In this role, you will design, develop, and optimize algorithms and pipelines that transform images, videos, LiDAR, and depth sensor data into accurate 3D models. Your work will directly power our next-generation 3D scanning, AR/VR, and digital twin solutions. Key Responsibilities Develop and implement 3D reconstruction pipelines from multi-view images, RGB-D, stereo, LiDAR, or photogrammetry data. Research, adapt, and optimize algorithms for SLAM , SfM (Structure from Motion) , and MVS (Multi-View Stereo) . Build robust camera calibration and sensor fusion methods for RGB, depth, and IMU data. Integrate mesh generation , texturing , and surface reconstruction techniques into production-ready systems. Collaborate with the AI, robotics, and 3D graphics teams to enhance reconstruction accuracy, speed, and scalability. Benchmark and evaluate algorithm performance on large-scale datasets. Stay updated on the latest advancements in computer vision, graphics, and 3D AI. Qualifications Required: Bachelor’s or Master’s in Computer Vision, Computer Science, Electrical Engineering , or related field. 3+ years of hands-on experience in 3D reconstruction projects. Strong proficiency in Python and C++ for high-performance computer vision. Experience with OpenCV , Open3D , PCL (Point Cloud Library) , or similar. Solid understanding of geometry, linear algebra, and optimization for 3D vision. Familiarity with camera calibration and pose estimation methods. Preferred: PhD in a relevant field or equivalent research experience. Experience with Neural Radiance Fields (NeRF) , Gaussian Splatting , or deep learning-based reconstruction . Hands-on work with 3D graphics engines (Unity, Unreal) or WebGL. Experience in GPU acceleration with CUDA or TensorRT . Background in AR/VR, robotics, or autonomous systems . Tools & Technologies Programming: Python, C++, CUDA Libraries/Frameworks: OpenCV, Open3D, PCL, PyTorch, TensorFlow, COLMAP, Meshroom 3D Data Formats: OBJ, PLY, GLTF, USDZ Version Control: Git, GitHub/GitLab Cloud & Deployment: AWS, Docker, CI/CD pipelines
About the Role We are seeking a highly skilled 3D Computer Vision Engineer with expertise in 3D reconstruction to join our R&D team. In this role, you will design, develop, and optimize algorithms and pipelines that transform images, videos, LiDAR, and depth sensor data into accurate 3D models. Your work will directly power our next-generation 3D scanning, AR/VR, and digital twin solutions. Key Responsibilities Develop and implement 3D reconstruction pipelines from multi-view images, RGB-D, stereo, LiDAR, or photogrammetry data. Research, adapt, and optimize algorithms for SLAM , SfM (Structure from Motion) , and MVS (Multi-View Stereo) . Build robust camera calibration and sensor fusion methods for RGB, depth, and IMU data. Integrate mesh generation , texturing , and surface reconstruction techniques into production-ready systems. Collaborate with the AI, robotics, and 3D graphics teams to enhance reconstruction accuracy, speed, and scalability. Benchmark and evaluate algorithm performance on large-scale datasets. Stay updated on the latest advancements in computer vision, graphics, and 3D AI. Qualifications Required: Bachelor’s or Master’s in Computer Vision, Computer Science, Electrical Engineering , or related field. 3+ years of hands-on experience in 3D reconstruction projects. Strong proficiency in Python and C++ for high-performance computer vision. Experience with OpenCV , Open3D , PCL (Point Cloud Library) , or similar. Solid understanding of geometry, linear algebra, and optimization for 3D vision. Familiarity with camera calibration and pose estimation methods. Preferred: PhD in a relevant field or equivalent research experience. Experience with Neural Radiance Fields (NeRF) , Gaussian Splatting , or deep learning-based reconstruction . Hands-on work with 3D graphics engines (Unity, Unreal) or WebGL. Experience in GPU acceleration with CUDA or TensorRT . Background in AR/VR, robotics, or autonomous systems . Tools & Technologies Programming: Python, C++, CUDA Libraries/Frameworks: OpenCV, Open3D, PCL, PyTorch, TensorFlow, COLMAP, Meshroom 3D Data Formats: OBJ, PLY, GLTF, USDZ Version Control: Git, GitHub/GitLab Cloud & Deployment: AWS, Docker, CI/CD pipelines