Digital Twin Research Engineer (Meteorological Forecasting and Disaster Response)

<div>Working location: Hong Kong, Shenzhen, Ningbo, Shanghai<br></div>Digital Twin Research Engineer (Meteorological Forecasting and Disaster Response)<br><br>Core responsibilities<br><br>1. Platform development and integration<br><br>◦ Based on Cesium or Unreal Engine 4/5, develop a three-dimensional visualization module for a meteorological disaster warning system, realizing data-driven dynamic scene rendering (such as typhoon paths, rainfall cloud maps, landslides, and internal flooding analysis).<br><br>◦ Integrate multi-source data (satellite, radar, ground monitoring stations, IoT sensors), and achieve real-time synchronization between physical entities and virtual models through API or protocols (such as MQTT, WebSocket).<br><br>◦ Optimize engine performance, solve technical difficulties such as large-scale terrain rendering, particle effects (such as wind field simulation), and data loading delays.<br><br>2. Algorithm and model development<br><br>◦ Combine meteorological, hydrological, and geological disaster models with AI algorithms to develop disaster prediction and simulation functions (such as landslides and internal flooding caused by heavy rain, disaster situation simulation).<br><br>◦ Design lightweight data compression and transmission schemes to support efficient handling of massive spatio-temporal data.<br><br>3. Cross-team collaboration and delivery<br><br><br><br>◦ Write technical documentation, including system architecture design, interface specifications, user manuals.<br><br>Job Requirements<br><br>Essential conditions<br><br>1. Technical background<br><br>◦ Proficient in any of the following technology stacks:<br><br>Cesium direction: Proficient in JavaScript/TypeScript, familiar with Cesium engine architecture, GIS data processing (such as oblique photography, BIM, point cloud), and three-dimensional Web system performance optimization experience.<br><br>Unreal Engine direction: Proficient in C++, familiar with UE blueprint system, rendering pipeline, physical simulation (such as fluids, particle effects), and UE4/UE5 project development experience.<br><br>◦ Familiar with common data communication protocols (TCP/UDP/HTTP/WebSocket) and databases (MySQL/MongoDB).<br><br>2. Experience and education<br><br>◦ Bachelor's degree or above, majoring in Computer Science, Geographic Information Systems, Meteorology, etc.;<br><br><br><br>3. Soft skills<br><br>◦ Have strong logical thinking and cross-team communication skills, be able to quickly understand business pain points and design technical solutions.<br><br><br><br>• Familiar with meteorological data formats (GRIB/NetCDF);<br><br>• Master Python scientific computing library (NumPy/Pandas), with experience in developing time series prediction algorithms;<br><br>• Have experience in integrating UE and Cesium (e.g., through plugins to achieve engine interoperability);<br><br>• Understand edge computing, cloud-native (Docker/K8s) deployment solutions.