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AD Division의 Frontend Engineer는 Autonomous Driving Dataset을 위한 Web 기반 Visualization Platform을 설계하고 개발합니다.
대규모 주행 데이터와 다양한 센서 정보를 효율적으로 시각화하고 분석할 수 있는 UI/UX를 구축하며, 이를 통해 Autonomous Driving Algorithm 개발 및 Debugging Workflow를 지원합니다. 또한 Perception, Planning, Data Engineering 팀과 긴밀히 협업하여 자율주행 데이터 분석 및 Annotation 생산성을 향상시킬 수 있는 고성능 Visualization System 개발 업무를 수행합니다. 다양한 주행 시나리오와 센서 데이터를 직관적으로 분석할 수 있는 Visualization 경험을 제공하여 Autonomous Driving 기술 개발 효율 향상에 기여합니다.
The Frontend Engineer in the AD Division designs and develops web-based visualization platforms for autonomous driving datasets.
This role focuses on building intuitive UI/UX for efficiently visualizing and analyzing large-scale driving data and multi-modal sensor information to support autonomous driving algorithm development and debugging workflows. You will collaborate closely with perception, planning, and data engineering teams to develop high-performance visualization systems that improve data analysis and annotation productivity. The platform enables engineers to intuitively analyze driving scenarios and sensor data, improving the efficiency of autonomous driving technology development.
Responsibilities
- Autonomous driving data visualization을 위한 Web 기반 Application 설계 및 개발
- LiDAR, Camera Stream, Perception Label(Bounding Box, Lane Marker, Traffic Light 등), Trajectory 등 Multi-modal Data Visualization 구현
- 대규모 Dataset 환경에서 Frontend Rendering 및 Visualization 성능 최적화
- 사용자 중심의 Annotation 및 Visualization UI/UX 설계 및 개선
- Perception, Planning, Data Engineering 팀과 협업하여 Debugging 및 Data Analysis Workflow 개선
- 기존 Open-source Visualization Framework 및 Tool(Rerun, Foxglove, WebViz 등)의 검토, Customization 및 Integration 수행
- Production 환경을 위한 Code Quality, Testing, Documentation 관리 및 개선
- Annotation Editing 및 Data Analysis Workflow를 위한 기능 개발
- Design and develop web-based applications for autonomous driving data visualization
- Develop synchronized multi-modal visualizations including LiDAR, camera streams, perception labels, and trajectory data
- Optimize frontend rendering and visualization performance for large-scale datasets
- Design and improve user-centric annotation and visualization UI/UX
- Collaborate with perception, planning, and data engineering teams to improve debugging and data analysis workflows
- Evaluate, customize, and integrate open-source visualization frameworks and tools such as Rerun, Foxglove, and WebViz
- Maintain high standards for code quality, testing, and documentation in production environments
- Develop features for annotation editing and data analysis workflows
Qualifications
- 3년 이상의 Web Application 개발 경력
- React.js, Next.js, TypeScript, REST API 기반 Frontend 개발 경험
- Figma 기반 서비스 기획 및 개선 경험
- Docker, CI/CD 또는 Cloud 환경 기반 개발 경험
- 기능 안정성 확보를 위한 Testing 및 Debugging 경험
- Git 기반 Version Control 및 Code Review 경험
- 팀 협업 기반의 개발 경험 및 변화하는 요구사항에 대한 빠른 이해와 대응 역량
- Computer Science, Software Engineering 또는 관련 분야 학사 학위 이상
- 3+ years of hands-on experience developing web applications
- Experience with frontend development using React.js, Next.js, REST API and TypeScript
- Figma-based service planning and improvement experience
- Experience with Docker, CI/CD, or cloud-based development environments
- Experience with testing and debugging to ensure feature reliability and system stability
- Experience with Git-based version control and code review workflows
- Ability to collaborate effectively with teams and adapt quickly to evolving requirements
- Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields
Preferred Qualifications
- WebGL, Three.js 기반 2D/3D Visualization 개발 경험
- Autonomous Vehicle, Robotics, Drone 등 실환경 Data Visualization Project 경험
- Sensor Data, Trajectory Data, Annotation Label 처리 및 Visualization 경험
- Rerun, Foxglove, WebViz 등 Open-source Visualization Tool Customizing 또는 Extension 경험
- WebSocket, gRPC, SSE 등 Real-time Data Streaming Framework 경험
- Experience developing 2D/3D visualizations using WebGL and Three.js
- Experience with real-world data visualization projects in autonomous vehicles, robotics, drones, or related domains
- Experience handling and visualizing sensor data, trajectory data, and annotation labels
- Experience customizing or extending open-source visualization tools such as Rerun, Foxglove, and WebViz
- Experience with real-time data streaming frameworks and technologies such as WebSocket, gRPC, and SSE
