Caterpillar
Industrial · Autonomous mining trucks
- HQ
- Irving, US
- Founded
- 1925
- Funding
- Public (CAT)
- Website
- caterpillar.com
Caterpillar currently has 28 active job listings related to artificial intelligence. The majority of these roles, 54%, are focused on agents, with serving infrastructure and data each accounting for 18% of the listings. The dominant function for these positions is Engineering. In the last 30 days, Caterpillar has posted 40 new AI roles, representing a significant increase of 1233% compared to the previous 30-day period.
Industrial · Autonomous mining trucks
Currently tracking 22 active AI roles, down 15% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $113k–$240k (avg $180k).
Caterpillar currently has 45 active AI-related roles in our index. The most common open titles are: Data Scientist (3), Manager, Product Management (Platform) (3), Autonomy Development Engineer (2), Autonomy Engineering Development Specialist (2), Senior Autonomy Engineer (2). Most positions are in Engineering and Product.
Caterpillar's active AI hiring is concentrated in: agents (60%), data (27%), serving infrastructure (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Caterpillar is hiring AI talent in: United States (29 roles), China (2 roles), Belgium (2 roles).
Job postings at Caterpillar most frequently reference: agent orchestration, model serving, llm observability, inference infra, evals.
In the past 30 days, Caterpillar has posted 75 new AI-related roles. That is a +53% change versus the prior 30 days (49 → 75).
| Title | Stage | AI score |
|---|---|---|
| Agentic AI / AI Ops Engineer – Platform Engineering This role focuses on building and deploying production-grade Agentic AI and AI Ops solutions to enable intelligent, automated, and reliable platform operations. It involves designing and implementing agentic AI systems for multi-step workflows, building AI-driven automation for operations, and integrating AI solutions with platform infrastructure. | AgentServe | 8 |
| Lead Architect – Digital Twin & AI Factory Lead Architect for Digital Twin & AI Factory responsible for designing and implementing architecture solutions for simulation, digital twins, AI model development, and AI Factory operations. This role translates architectural vision into detailed solution designs, reusable patterns, and implementation guidance to accelerate AI model development, training, fine-tuning, validation, and deployment. It supports orchestration of AI Factory and simulation capabilities across the development lifecycle, ensuring seamless integration of compute resources, data pipelines, model workflows, and simulation environments for rapid experimentation and deployment. | DataPost-train | 8 |
| Autonomy Development Engineer Develops production quality C++ software for advanced, semi-autonomous, and autonomous solutions for heavy equipment, integrating positioning, planning, perception, and controls. Collaborates on design, coding, and validation, with a focus on solving real-world problems and bringing prototypes to production. Requires strong C++ skills, experience with robotics/automation projects, and knowledge of planning, positioning, or perception. | Agent | 7 |
| Senior Autonomy Engineer Senior Autonomy Engineer role focused on developing and productionizing semi-autonomous and autonomous solutions for heavy equipment. Responsibilities include C++ software development, integrating positioning, planning, perception, and controls, and working with robotics frameworks like ROS. The role emphasizes converting research into production-ready systems. | Agent | 7 |
| Senior Manager, Data Architecture Senior Manager, Data Architecture leading the organization responsible for building the data foundation that enables Physical AI, autonomy, digital twins, and next-generation intelligent systems. Defines and delivers data architecture, domains, products, and AI-ready data capabilities to transform machine, sensor, telemetry, simulation, and operational data into trusted assets that accelerate AI development and autonomous system innovation. Accountable for how data is organized, managed, and delivered, ensuring engineers and data scientists can efficiently develop, train, fine-tune, validate, and deploy next-generation AI models while accelerating innovation through scalable and reusable data products. Establishes scalable data patterns supporting the full Physical AI lifecycle, including data collection, ingestion, processing, quality, governance, annotation, and availability for model training, fine-tuning, simulation, and deployment. Ensures high-quality data flows seamlessly from physical machines and environments into AI development ecosystems and back into continuously improving intelligent systems. | DataPost-train | 7 |
| Principal Software Engineer – Physical AI, Autonomy & Data Platform Engineering Principal Software Engineer to lead technical strategy and engineering execution for large-scale data ingestion and processing platforms supporting physical AI and autonomous systems. This role involves designing scalable, cloud-native solutions for high-volume sensor and telematics data, partnering with architects and product owners to define reusable data platform capabilities for advanced analytics, machine learning, and autonomy initiatives. It's a hands-on technical leadership role operating at the frontier of physical AI and autonomy engineering, requiring adaptability in ambiguous and evolving technical domains. | Data | 7 |
| Autonomy Development Engineer Develops production quality C++ software for advanced, semi-autonomous, and autonomous solutions for heavy equipment, focusing on positioning, planning, perception, and controls. Collaborates on design, documentation, coding, quality, and validation. | Agent | 7 |
| Senior Autonomy Development Engineer Senior Autonomy Development Engineer role focused on developing and bringing to production semi-autonomous and autonomous solutions for heavy equipment, integrating positioning, planning, perception, and controls. Requires strong C++ development, problem-solving, and experience in robotics/autonomy. | Agent | 7 |
| Data Scientist Data Scientist role focused on developing data-driven solutions for dealer inventory management and customer service outcomes. The role involves collecting, processing, and analyzing large datasets, applying ML, NLP, and text analytics, developing scalable data models, and collaborating with stakeholders to translate business problems into analytical solutions. It also includes generating insights using data visualization tools and researching improvements to models and algorithms, working with platforms like Python, SQL, Snowflake, and Azure. | Post-train | 7 |
| Site Manager – Autonomous Mining Technology This role is for a Site Manager focused on autonomous mining technology, specifically Command for Hauling operations. The manager will lead on-site autonomy roles, drive performance metrics, influence product groups, and act as a trusted advisor to the customer and internal stakeholders to ensure the safe and reliable operation of the Autonomous Haulage System (AHS). | Agent | 7 |
| Analyst Applications – ServiceNow Conversational & GenAI This role leads the design, development, and continuous improvement of conversational AI solutions within ServiceNow, focusing on Virtual Agent and generative AI capabilities like Now Assist. The primary focus is on building agentic, intent-driven experiences, integrating LLM-powered skills, and operationalizing AI features for customer service and IT support. The role involves end-to-end delivery, technical leadership, backlog prioritization, and ensuring quality execution, including responsible AI practices and evaluation. | AgentServe | 7 |
| Back Office Engineering Manager Engineering Manager for Caterpillar's autonomous mining systems back-office platform. Responsibilities include leading a team in the development and architectural design of the platform, covering areas like autonomous driving operations statistics and management, dispatch systems and algorithm development, map creation and management, digital twins, data analysis and efficiency optimization, user interface, network integration, server architecture, data storage and algorithms, machine learning and artificial intelligence applications, and remote control switching. The role requires strong experience in back-office system development, team management, and technical skills in distributed systems, algorithms, and ML frameworks. | AgentData | 7 |
| Principal Data Architect The Principal Digital Architect for Data is responsible for defining the data architecture that enables Physical AI and autonomous systems to learn, reason, and operate at scale. This role establishes the data domains, canonical data models, data products, and architectural standards that transform vast amounts of jobsite, machine, sensor, telemetry, simulation, and operational data into trusted, reusable assets for AI development and autonomy. The architect provides technical leadership for how data is organized, managed, and delivered across the enterprise, ensuring engineers and data scientists can efficiently develop, train, fine-tune, validate, and deploy next-generation AI models. | Data | 7 |
| Autonomy Engineering Development Specialist Engineering specialist role focused on developing, implementing, and testing algorithms for autonomous and operator-assisted driving systems for mobile off-road machines. Requires experience in mobile robotics, computer vision, machine learning, deep learning, and embodied AI, with strong C++ and Python programming skills. | Agent | 7 |
| Senior Autonomy Engineer Senior Autonomy Engineer role focused on developing and productionizing localization algorithms for autonomous and semi-autonomous systems, utilizing perception, inertial, and GNSS inputs. Requires strong C++ and Python skills, experience with filtering solutions (Kalman, Extended Kalman), and knowledge of robotics frameworks like ROS. | Agent | 7 |
| Lead Data Scientist Lead Data Scientist at Caterpillar Digital in Slovakia, focusing on developing condition monitoring models using machine learning and time-series sensor data to predict equipment failures and estimate remaining useful life. The role involves leading a team, exploring and implementing ML/AI/GenAI projects, and collaborating with management and leadership. | Data | 7 |
| Autonomy Application Architect The Autonomy Application Architect at Caterpillar is responsible for the overall vehicle-level solution for autonomous machines. This role involves leading a team of autonomy engineers and collaborating with specialists to design, implement, and deliver autonomous systems for real-world applications. The architect will identify and evaluate state-of-the-art technologies, break down solutions into actionable tasks, perform risk/benefit analysis, and manage phased delivery plans from simulation to production release. They will also triage and resolve system-level issues. | Agent | 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 |
| Data Scientist 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. | Data | 7 |