AI Robotics SW Engineer(Data Science & AI Team)

工作內容

Working on top of hardware provided by robot vendors, you will be responsible for integrating our internal AI vision and decision models into real-world robotic systems. You are the technical implementation core that connects the "AI Brain", "Simulation & Validation", and "Physical Hardware" layers. Your mission is to bridge the gap between AI models and the physical world, ensuring our robotic systems operate reliably in industrial environments. You will operate with a high degree of autonomy, collaborate as an equal partner with the AI modeling team, and own the end-to-end success of the integration layer.

1. AI model integration & motion control

．Receive high-level action commands from AI models and perform kinematic solving and trajectory planning.

．Implement collision detection and safety mechanisms to ensure AI-generated actions execute reliably in real industrial environments.

．Maintain spatial calibration and coordinate consistency between visual inputs and action outputs.

2. Vendor interface wrapping & control implementation

．Rapidly interpret and integrate various interfaces and SDKs provided by robot vendors.

．Encapsulate proprietary vendor APIs into standardized interfaces consumable by internal systems.

．Manage communication between edge computing devices and robot controllers, resolving stability issues encountered during real-machine testing.

3. Simulation validation & real-world deployment

．Build robot simulation environments for industrial scenarios and complete stress tests and edge-case validations before deploying to physical machines.

．Establish AI model inference pipelines on edge devices and continuously optimize end-to-end performance.

4. On-site debugging & exception handling

．Conduct real-machine testing on-site, systematically collecting failure cases and data to feed back to the AI modeling team for continuous improvement.

．Implement state machines and exception handling logic to ensure safe degradation and recovery in uncertain situations.

：

．5+ years of experience in robotics systems, automation equipment, or hardware/software integration.

．Solid robotics middleware development skills, with hands-on experience integrating third-party SDKs and hardware interfaces.

．Proven experience in real-machine deployment or on-site testing; able to independently diagnose and resolve hardware communication issues.

．Proficient in Python and C++; able to rapidly produce production-ready code within an existing architecture.

．Solid understanding of Computer Vision and 3D spatial geometry, with practical experience in sensor calibration and coordinate transformations.

．Strong independent troubleshooting skills in Linux and Docker environments.