岗位描述
Role Mission
Develop the web applications used by model scientists, test engineers, annotation teams, and platform operators to interact with the autonomous-driving data platform.
Key Responsibilities
• Develop TypeScript-based frontend applications for data search and exploration, trip and bag browsing, dataset management, data mining, annotation, training and benchmarking, replay, and issue investigation.
• Develop interactive visualization capabilities for images, video, point clouds, maps, vehicle trajectories, time-series signals, and annotation overlays.
• Develop synchronized timeline-based interfaces for exploring multiple autonomous-driving sensor streams.
• Integrate frontend applications with FastAPI, GraphQL, Spring Boot, and other backend services.
• Build reusable UI components and common frontend infrastructure shared across multiple AD data applications.
• Develop efficient search, filtering, pagination, and navigation experiences for large data catalogs and metadata sets.
• Work closely with model scientists, data scientists, and test engineers to optimize frequent data exploration, analysis, and replay workflows.
• Work with annotation-management teams to improve annotation task execution, review, quality-control, and progress-management workflows.
• Optimize frontend rendering, data transfer, caching, and visualization performance for large datasets and high-frequency sensor information.
• Participate in frontend architecture, design-system development, automated testing, and code-review practices.
Required Qualifications
• 3+ years of frontend software engineering experience.
• Strong TypeScript and JavaScript skills.
• Strong experience with a modern frontend framework such as React, Vue, or Angular.
• Experience developing complex engineering or enterprise applications.
• Strong understanding of frontend architecture, state management, API integration, and performance optimization.
• Experience developing interactive data visualizations.
• Good understanding of HTTP APIs and asynchronous workflows.
Preferred Qualifications
• Experience with WebGL, Three.js, point-cloud visualization, maps, video, or scientific visualization.
• Experience integrating GraphQL APIs.
• Experience developing annotation or labeling tools.
• Experience with robotics, autonomous-driving, GIS, observability, or engineering visualization systems.
• Familiarity with ROS2 data concepts and synchronized sensor streams.