Senior Data Visualization Developer (Autonomous Driving)

About The Team & Mission AD Division의 Senior Data Visualization Engineer는 Autonomous Driving Dataset을 위한 Web 기반 Visualization Platform을 설계하고 개발합니다. 대규모 주행 데이터와 다양한 센서 정보를 효율적으로 시각화하고 분석할 수 있는 Full-stack Application을 구축하며, 이를 통해 Autonomous Driving Algorithm 개발 및 Debugging Workflow를 지원합니다. 또한 Perception, Planning, Data Engineering 팀과 긴밀히 협업하여 3D Point Cloud, Camera Stream, Perception Label, Trajectory 등 다양한 Multi-modal Data를 직관적으로 분석할 수 있는 고성능 Visualization System 개발 업무를 수행합니다. The Senior Data Visualization Engineer in the AD Division designs and develops web-based visualization platforms for autonomous driving datasets. This role focuses on building full-stack applications for rendering and analyzing large-scale multi-modal data, including 3D point clouds, camera streams, perception labels, trajectories, and other algorithm-related data. You will collaborate closely with perception, planning, and data engineering teams to develop high-performance visualization systems that accelerate autonomous driving algorithm development, triage, and debugging workflows. Responsibilities Autonomous driving data visualization을 위한 Full-stack Web Application 설계 및 개발LiDAR, Camera Stream, Perception Label(Bounding Box, Lane Marker, Traffic Light 등), Trajectory 등 Multi-modal Data Visualization 구현React 기반 Frontend 및 Python / Node.js 기반 Backend API 개발대규모 Dataset 환경에서 Rendering 및 Backend 성능 최적화Data Loading, Preprocessing, Streaming을 위한 Backend Service 및 API 설계Autonomous Driving Algorithm Engineer와 협업하여 Model Output 및 Evaluation Metric Visualization 기능 개발기존 Open-source Visualization Framework 및 Tool(Rerun, Foxglove, WebViz 등)의 검토, Customization 및 Integration 수행Production 환경을 위한 Code Quality, Testing, Documentation 관리 및 개선Design and develop full-stack web applications for autonomous driving data visualizationDevelop synchronized multi-modal visualizations including LiDAR, camera streams, perception labels, and trajectory dataImplement React-based frontends and Python/Node.js backend APIs for data workflowsOptimize rendering and backend performance for large-scale datasetsDesign backend services and APIs for data loading, preprocessing, and streamingCollaborate with autonomous driving algorithm engineers to integrate model outputs and evaluation metrics into visualization toolsEvaluate, customize, and integrate open-source visualization frameworks and tools such as Rerun, Foxglove, and WebVizMaintain high standards for code quality, testing, and documentation in production environments Qualifications 5년 이상의 Web Application 개발 경력React.js, Next.js, TypeScript 기반 Frontend 개발 경험Python(FastAPI/Flask), Node.js 기반 Backend 개발 경험WebGL, Three.js 등 3D Visualization 관련 개발 경험Docker, Git, REST API, CI/CD 기반 개발 경험3D 또는 Sequential Data 기반 Interactive UI/UX 개발 경험Code Review 및 Version Control 기반 협업 경험Python 또는 유사 Tool 기반 Data Processing 경험Computer Science, Software Engineering 또는 관련 분야 학사 학위 이상5+ years of hands-on experience developing web applicationsExperience with frontend development using React.js, Next.js, and TypeScriptExperience developing backend systems using Python (FastAPI/Flask) and Node.jsExperience with 3D visualization technologies such as WebGL and Three.jsExperience with Docker, Git, REST APIs, and CI/CD workflowsExperience designing interactive UI/UX for 3D or sequential data workflowsExperience in collaborative environments using code review and version controlExperience processing data using Python or similar toolsBachelor’s degree or higher in Computer Science, Software Engineering, or related fields Preferred Qualifications Autonomous Vehicle, Robotics, Drone 등 실환경 Data Visualization Project 경험Sensor Data, Trajectory Data, Label Data 처리 및 Visualization 경험Rerun, Foxglove, WebViz 등 Open-source Visualization Tool Customization 경험Rosbag Data Format 및 관련 Visualization 경험WebSocket, gRPC, SSE 등 Real-time Data Streaming Framework 경험AWS, ArgoCD, Helm Chart 등 Cloud Deployment 경험Experience with real-world data visualization projects in autonomous vehicles, robotics, drones, or related domainsExperience handling and visualizing sensor data, trajectory data, and label dataExperience customizing open-source visualization tools such as Rerun, Foxglove, and WebVizFamiliarity with Rosbag data formats and related visualization workflowsKnowledge of real-time data streaming frameworks such as WebSocket, gRPC, and SSEExperience with cloud deployment tools and infrastructure such as AWS, ArgoCD, and Helm