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Key Responsibilities Architecture & System Design: Design and lead the core architecture of the smart inspection robot platform (PC, Mobile, and Web), covering device monitoring, task scheduling, electronic map management, data visualization, alarm linkage, HMI, and automated report generation. Backend Development: Build robust backend services (Spring Boot / Node.js), integrate MQTT/remote telemetry for device connectivity, handle database design (PostgreSQL / TimescaleDB), and construct real-time alarm rule engines. Data Ingestion & Telemetry: Manage real-time ingestion, storage, analytics, and visualization of multi-dimensional inspection data (environmental quality audits, facility risk detection, personnel work oversight, etc.). Frontend Development: Develop intuitive, highly accessible UIs (Vue / React) supporting one-click inspection, 3D digital twin monitoring, historical playback, and automated report generation. Advanced Features & Control: Build multi-tenant permission controls, voice/text interaction modules, and remote maintenance channels. Implement remote teleoperation functions for robot movement, gimbal control, and multi-sensor data fusion. Deployment & Support: Write deployment documentation (Docker), assist with on-site deployment, and conduct user training. Requirements Education & Experience: Bachelor’s degree or above in Computer Science, Software Engineering, or related fields, with 3+ years of experience in full-stack or backend development. Tech Stack Proficiency: Proficient in at least one backend framework (Spring Boot, Node.js, etc.) and well-versed in RESTful APIs, WebSockets, and MQTT protocols. Frontend Expertise: Hands-on experience with modern frontend frameworks (React / Vue) with the ability to take projects from UI design to full execution independently. Video Streaming: Knowledge of audio/video streaming protocols (WebRTC, RTSP, RTMP). Experience building real-time video feed platforms for robotics is a strong plus. Industry Passion: Enthusiastic about robotics and IoT systems. Hands-on experience with digital twins or large-screen data visualization dashboards is preferred. Bonus Qualifications Experience interfacing and co-debugging with AI algorithm teams and hardware/embedded software teams (e.g., quadruped robot base platforms). Prior development experience with smart property management, smart parks, or industrial inspection systems. What We Offer Opportunity to participate in the end-to-end development of cutting-edge mobile manipulation robots (quadruped wheeled platforms) and next-gen humanoid robotics. Competitive salary package and project-based bonuses (negotiable based on experience). Direct collaboration with teams backed by top institutions (HKUST & CityU), offering rapid technical growth. Open, geek-friendly tech culture with flexible working hours. Location: Hong Kong Science Park Shenzhen Branch (Futian Bonded Area, Shenzhen) 岗位职责 ： 负责智能巡检机器人业务管理平台（PC端/移动端/前中后台）的架构设计与核心代码编写，包括设备监测、任务调度、电子地图管理、数据可视化、报警联动和人机交互界面以及报告生成等巡检管理功能。 搭建后端服务（SpringBoot/Node.js），实现MQTT和远程订阅等设备接入、数据库设计（PostgreSQL/TimescaleDB）、报警规则引擎。负责机器人多端消息通知、多维巡检数据（环境品质核查、设施隐患排查、人员作业监管等）的实时接入、存储、分析与可视化呈现。 开发前端傻瓜式操作UI（Vue/React），包括一键巡检、3D数字孪生监控、历史数据回放、巡检报告自动生成。 实现多用户权限管理、语音/文字交互、远程运维通道等高级功能。 编写平台部署文档（Docker），协助现场部署与用户培训。 编写远程操控巡检机器人，包括机器人运动、云台操控和其它传感器数据融合等功能。 任职要求 ： 本科及以上学历，计算机科学、软件工程等相关专业，3年以上全栈或后端开发经验。 精通至少一种后端框架（SpringBoot/Node.js等），熟悉RESTful API、WebSocket、MQTT协议。 有现代前端框架实战经验（React/Vue），能独立完成从界面设计到交互实现的完整闭环。 了解音视频流媒体传输协议（WebRTC/RTSP/RTMP），有机器人实时视频回传平台开发经验者优先。 对机器人、物联网行业有热情，有可视化大屏或数字孪生项目经验者加分。 加分项 具备与 AI 算法团队、硬件/嵌入式团队（如四轮足机器人硬件平台底座）对接联调的经验。 有智慧物业、智慧园区或工业巡检管理系统开发经验。 我们提供 ： 参与前沿四轮足移动操作机器人全流程开发的机会，未来人形机器人。 具有竞争力的薪酬与项目奖金，具体面议。 与港科大和港城市大学背景团队深度合作，技能快速成长。 开放、极客的工作环境，弹性的工作制。 工作地点 ：深圳（福田保税区）香港科学园深圳分园
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.