Industrial · Autonomous mining trucks
| Title | Stage | AI score |
|---|---|---|
| Cat Digital/Cat Technology – Data Scientist/Technical Analyst This role focuses on developing models for asset management solutions using machine learning, deep learning, and Generative AI. Responsibilities include sourcing data, gathering requirements, applying digital technologies, and utilizing Generative AI for training, evaluation, prompt engineering, and creating agents/assistants/chatbots. The role also involves ensuring long-term connectivity through strategic planning and testing of various communication technologies. | AgentPost-train | 7 |
| Lead Data Scientist Lead Data Scientist at Caterpillar Digital, focusing on developing and scaling a Manufacturing & Supply Digital Platform powered by NVIDIA technologies. The role involves coaching junior data scientists, implementing AI/ML and LLM models, optimization algorithms, and leading validation of AI/ML models using industrial analytics metrics. Emphasis on connecting diverse systems, data-driven decision making, automation, and enhanced collaboration within the manufacturing lifecycle. |
| AgentEval Gate |
| 7 |
| 状态监测、数据与 AI 实习生 This role focuses on building AI agents, including LLM-based agents, to support finite element simulation processes, and also involves AI-based tool health monitoring and data analysis for industrial applications. | AgentData | 7 |
| Solutions Architect - AI & Procurement Solutions Architect focused on designing, governing, and delivering AI-driven solutions, specifically agents and automation, within procurement and purchasing platforms (Guided Buy, Coupa). This role involves architectural guidance, prompt strategy, orchestration patterns, data grounding, and ensuring compliance with enterprise and Responsible AI standards. It also includes code reviews and mentoring. | Agent | 7 |
| Planning Engineer Planning Engineer role at Caterpillar focused on path and behavior planning for autonomous mining vehicles in unstructured environments. Responsibilities include task-level route planning, trajectory and speed planning considering vehicle dynamics and terrain, and perception-based behavior planning. Requires strong C++/Python skills, familiarity with Linux and ROS/ROS2, and knowledge of ML/DL/RL applications in planning. Experience in autonomous driving planning and decision-making is essential, with mining/construction scene experience being a plus. | Agent | 7 |
| Autonomy Application Architect This role is for an Application Architect focused on applying autonomy technology to new haulage equipment at Caterpillar. The candidate will lead a team in developing and releasing autonomous and remote-control solutions, involving system design, implementation, and troubleshooting within the Caterpillar Command ecosystem. | Agent | 7 |
| Technical Lead - AI, Cloud and Data engineering Technical Lead role focused on driving AI, GenAI, and advanced analytics initiatives within an enterprise context, leveraging AWS cloud platforms. Responsibilities include leading exploration and implementation of AI solutions, building PoCs, designing AI-enabled architectures, and automating processes. The role involves hands-on technical execution, innovation leadership, and team guidance, with a strong emphasis on Python development and AWS cloud services. | Agent | 7 |
| Autonomy Simulation Engineer The role is responsible for the design and development of the simulation architecture for mine autonomous driving systems, covering backend control system simulation, autonomous vehicle simulation, subsystem simulation, and simulation and testing of autonomous driving algorithms. The goal is to achieve efficient verification and iteration in a virtual environment, reduce on-site testing risks, and improve development efficiency. Key responsibilities include building a simulation platform for multi-vehicle, multi-scenario collaborative testing, simulating backend logic, developing vehicle dynamics and sensor models, simulating core algorithms like path planning and obstacle avoidance, and developing test scenarios. Experience with simulation systems (CARLA/AirSim/Isaac Sim), ROS, C++, Python, and multi-agent simulation frameworks is required. Familiarity with machine learning/deep learning, especially data-driven or reinforcement learning methods in simulation, is a plus. | Agent | 7 |
| Principal Digital Architect-1 Principal Digital Architect responsible for the overall architecture of the Manufacturing and Supply Digital Platform, designing capabilities for business requirements, applications, analytics, agents, and business intelligence. The role involves developing enterprise-wide data architecture, creating reusable data components, and leveraging NVIDIA technologies for digital twin, simulation, and optimization. Key responsibilities include developing architecture deliverables, solutioning use cases, evaluating and deploying new technologies, and collaborating with cross-functional teams. Requires extensive knowledge in Platform Architecture, Data Architecture, GenAI/AI Architecture (including Agentic AI solutions), Analytical Thinking, Effective Communications, and Requirements Analysis. Experience with public cloud, AI ecosystems (AWS Bedrock, LangChain), and data processing is highly valued. | Agent | 7 |
| Junior GenAI Engineer Junior GenAI Engineer role focused on implementing and deploying Generative AI solutions using Python, LLMs, and frameworks like LangChain and LangGraph. The role involves CI/CD, AWS deployment, and collaboration with data scientists. | Agent | 7 |