Position Name: Software Application

Your Responsibilities:

1. Develop Java core backends and Python task modules/scripts to implement task scheduling, vehicle allocation and multi-brand robot protocol adaptation.

2. Sort demands, design scalable real-time AMR scheduling architecture and select path planning & multi-robot coordination technologies.

3. Develop front-end visualization including map, monitoring dashboards, simulation panels, and drag-and-drop low-code configuration.

4. Code, refactor and optimize core modules: 4D path planning, conflict resolution, deadlock prediction, warehouse & emergency management.

5. Perform unit, simulation and on-site tests to fix communication/concurrency issues for stable multi-robot operation.

6. Standardize interface docs and extract reusable middleware/components to reduce integration costs.

7. Coordinate cross-team resources, track milestones and deliver versions against logistics requirements.

8. Follow industry tech trends, benchmark competing products and optimize system performance bottlenecks.

9. Use Python to dock multi-agent RL models, realize 30-second ahead risk prediction and automatic rerouting for robots.

10. Collect online operation logs, analyze task efficiency data and output regular optimization reports for production lines.

11. Performing individual task-related duties in accordance with the knowledge and experience of the position holder.

12. Advising other people holding positions at Company, its subsidiaries/associate companies, or cooperating organizations upon request and in consultation with the appropriate people responsible.

Our Requirements:

1. Lead full-cycle R&D and technical iteration of AMR intelligent scheduling system, covering back-end core service development and front-end visualization module implementation. 

2. Optimize scheduling and navigation modules with A* & SLAM to eliminate path conflicts, deadlocks and communication faults for stable robot cluster operation.

3. Establish unified reusable technical standards and common components to cut redundant development and improve team efficiency.

4. Coordinate cross-team communication, align requirements and schedules to accelerate solution delivery.