Caterpillar

Lead Software Engineer focused on Generative AI projects, building assistants, AI-infused processing pipelines, and tooling. The role involves developing and deploying Gen AI solutions using Python, frameworks like LangChain and LangGraph, and deploying services on AWS. Experience with modern Gen AI architectures and LLMs is required.

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.

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.

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.

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.

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.

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.

This Principal Digital Architect role focuses on defining and governing the architecture of large-scale digital platforms, with a specific emphasis on AI systems. The role involves owning end-to-end architecture solutions, ensuring scalability, performance, security, and rapid delivery, while influencing enterprise technology strategy. Key responsibilities include creating AI reference architectures, assessing AI technologies, and guiding teams in taking AI systems from proof-of-concept to scaled production use, balancing classical ML, LLM-based approaches, and non-AI solutions.

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.

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.

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.

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.

Data Scientist role focused on performing analytical tasks and initiatives on large datasets to support data-driven business decisions and product development. The role involves data gathering, processing, exploring semantic data capabilities using NLP and ML, defining data analysis requirements, presenting insights, and researching data model optimization and algorithms. It emphasizes a data-driven product development culture and enhancing customer engagements.

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.

This role involves monitoring the health of industrial machinery by integrating and analyzing multi-source datasets, including fluid analysis, telematics, and inspection reports. It utilizes advanced analytics and machine learning models to detect patterns, predict failures, and generate actionable insights for optimized asset performance. The role also involves analyzing and correlating data from various sources, providing expert recommendations through software tools, and engaging with customers and dealers to enhance machine uptime and reduce total cost of ownership.