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 12% 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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| Engineering Intern This internship focuses on applying machine learning algorithms to analyze and mine data for industrial equipment. The intern will perform data cleaning, build and optimize ML models for failure analysis and remaining service life prediction, and develop algorithms using C++ or Python to provide interfaces for system platforms. The role involves creating visual reports and improving prediction accuracy. | DataPost-train | 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 |
| Senior Condition Monitoring Advisor - Reliability 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. | DataAgent | 7 |