| Title | Stage | AI score |
|---|---|---|
| 视觉算法部署实习生 The role involves assisting in the development and implementation of visual solutions for autonomous driving, focusing on integrating and debugging embedded systems and visual components. It requires implementing core perception capabilities like object detection and obstacle recognition using computer vision and deep learning, and optimizing embedded inference. The role also involves dataset construction, quality control, and performance evaluation. | ServeData | 7 |
| Global Data Science Architect The Global Data Science Architect will serve as the technical lead for data science architecture across Caterpillar’s Autonomy & Automation (A&A) programs, ensuring traditional AI and GenAI capabilities are designed to accelerate product innovation and internal tooling velocity. This role involves architecting and overseeing AI solutions, defining architectural standards for model delivery and deployment, and ensuring ISO 9001 compliance and alignment with AI governance. |
| Serve |
| 7 |
| Perception deployment engineer This role focuses on deploying, optimizing, and validating deep learning perception models on embedded platforms for autonomous mining vehicles. It involves using tools like TensorRT and CUDA for inference acceleration, performance analysis, and system-level engineering in a Linux Embedded environment. Collaboration with algorithm, fusion, system, and hardware teams is crucial for integration and evolution, as well as problem-solving during full-process debugging and testing. | Serve | 7 |
| Manufacturing Engineering Manager This role manages manufacturing engineering for automated systems, processes, and product engineering, focusing on improving manufacturing methods, equipment, and infrastructure. It drives innovation using robotics, AI, machine learning, and 3D vision systems for operations like welding, painting, and assembly, and plays a critical part in New Product Introduction (NPI) readiness and execution. | Serve | 5 |