
System Integration
5 days ago
- Module Communication: Design and maintain the communication framework that links perception, navigation, localization, mapping, and external services.
- Interface Design: Define APIs/protocols for data exchange between onboard modules (sensing, mapping, navigation) and external systems (backend, vending machine, app/web).
- System Integration: Ensure smooth data flow and synchronization across hardware (robots, vending machines) and software platforms.
- Robustness & Reliability: Monitor latency, bandwidth, and fault-tolerance of communication to support multi-robot task execution.
- Collaboration: Act as the bridge between algorithm developers (SLAM, planning, multi-robot optimization) and the application/frontend team (app/web).
- Scalability: Support future expansion, e.g., integration with multi-robot task optimization module. Technical Skills
- Strong background in networking & communication protocols: TCP/UDP, WebSocket, gRPC, MQTT, ROS2 DDS.
- Experience with robotics middleware (ROS/ROS2, CyberRT, or equivalent).
- Familiarity with real-time systems and ensuring low-latency, high-reliability data transmission.
- Backend development experience: building APIs (REST, GraphQL), handling data serialization (JSON, Protobuf, ROS messages).
- Cloud/Edge integration: deployment on Linux servers, Docker, Kubernetes, or edge computing platforms.
- Programming proficiency: Python, C++ (for robot modules), and one backend stack (Node.js, Go, or similar).
- Understanding of multi-robot systems and distributed communication challenges.
- Experience with 5G / WiFi mesh / V2X communication in robotic systems.
- Knowledge of security in communication (SSL, token-based authentication, encrypted channels).
- Familiarity with robotic perception/navigation pipelines (so she can debug interfaces).
- Previous experience in real robot deployment (SCOUT, Turtlebot, AMR platforms).
- Strong system-level thinking: ability to understand how sensing, localization, mapping, and navigation modules interact.
- Good collaboration skills: works closely with algorithm researchers, app/backend developers, and operations engineers.
- Able to document APIs and communication workflows clearly.
- Problem-solving mindset: able to debug communication bottlenecks in multi-robot deployments.
- Bachelor's degree or higher in Computer Science, Electrical/Electronic Engineering, Robotics, Automation, or a related field.
- Capacity to manage various projects and work to tight deadlines.
- Fluency in both spoken and written Chinese and English is required. The candidate must be able to speak Mandarin for communication with stakeholders and teams in China.
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