Caterpillar
Industrial · Autonomous mining trucks
- HQ
- Irving, US
- Founded
- 1925
- Funding
- Public (CAT)
- Website
- caterpillar.com
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 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
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 |
| Data Engineer, Cat Digital Data & AI Data Engineer responsible for developing Python data pipelines to build business data objects, leveraging GenAI developer tools and frameworks like LangChain for enhanced productivity and problem-solving in an enterprise AI context. | Data | 5 |
| Senior Software Engineer-Data Engineering This role focuses on building and maintaining scalable data pipelines on AWS, with a strong emphasis on Snowflake, graph databases, and vector databases. The engineer will design, develop, and optimize solutions for AI-driven use cases, including RAG and integrating vector databases with LLM applications. Experience with data ingestion for unstructured sources and knowledge graph pipelines is also crucial. | DataAgent | 5 |
| Data Analytics / Machine Learning Analyst Performs analytical tasks and leads data initiatives on large volumes of data to generate insights that support data-driven business decisions, leveraging statistical analysis, data modeling, visualization, NLP, and machine learning techniques. | Data | 5 |
| Data Scientist Data Scientist role focused on developing data-driven solutions for dealer inventory management and customer service outcomes within Caterpillar's Product Support and Logistics Division. Responsibilities include data collection, processing, analysis, developing data models, applying ML/NLP techniques, collaborating with stakeholders, generating insights, and researching improvements to analytical approaches using modern data platforms. | Data | 5 |
| Data Scientist (Santa Catarina Facility) This role focuses on performing advanced analytical tasks using statistical analysis, machine learning, and data engineering to extract actionable insights from large datasets. The Data Scientist will lead data collection, mining, and processing, apply NLP and text analytics, communicate findings through visualizations, and optimize data models and algorithms for improved accuracy and efficiency. The role emphasizes data-driven decision-making and innovation within an enterprise context. | Data | 5 |
| IT Analyst - Applications This role focuses on designing, implementing, and optimizing AI-driven and automated solutions for Enterprise Asset Management (EAM). It involves identifying processes for automation, designing workflows for AI/ML capabilities, building data structures using various sources and the IT Data Lake, and leveraging Python and PowerShell for analysis and insights. The role also includes creating and maintaining Power BI reports, PowerApps, and Flows. | Data | 5 |
| 2026校园招聘-智能智造数据分析工程师 Entry-level role for recent graduates to build and optimize data-driven solutions for manufacturing processes, focusing on data collection, analysis, predictive modeling, and visualization using tools like Python, SQL, and Power BI. | Data | 5 |
| Engineering Manager - Data Quality Engineering Manager for Data Quality at Caterpillar, leading a team to ensure accuracy, integrity, consistency, and reliability of enterprise connectivity data. The role involves defining data quality strategy, establishing frameworks, designing validation solutions, and driving adoption of AI/ML for data profiling, anomaly detection, and root cause analysis. It also includes people management, cross-functional collaboration, and ensuring data quality for analytics, AI/ML models, and business decision-making. | Data | 5 |
| Senior Data Scientist Senior Data Scientist at Caterpillar, focusing on Parts Sales to End Users (STU) reporting and forecasting. The role involves end-to-end data architecture, analytics solutions, data pipelines, Power BI dashboards, and leveraging machine learning for forecasting. Requires strong SQL, Python, Snowflake, and Power BI skills, with experience in cloud platforms like AWS. | Data | 5 |
| Data Scientist The Data Scientist role at Caterpillar focuses on performing analytical tasks and initiatives on large datasets to support data-driven business decisions. Responsibilities include data gathering, mining, processing, and model creation, exploring semantic data capabilities using NLP, text analysis, and machine learning, defining data analysis requirements, presenting insights using visualization, and researching data model optimization and algorithms. | Data | 5 |
| Lead Data Scientist Lead Data Scientist role at Caterpillar, focusing on connecting data sources, directing data processes, exploring NLP/text analysis/ML techniques, defining data analysis scope, and conducting research on data model optimization and algorithms. Requires strong statistics, analytical thinking, and machine learning knowledge. | Data | 5 |
| ALTERNANCE Ingénieur Data F/H (Réf 32-2026) This is an apprenticeship role for an aspiring Data Engineer at Caterpillar, focusing on managing the company's Data Lake, developing ETL processes, and SQL views. The role also involves Python development for ETL optimization and offers exposure to Machine Learning projects and support, utilizing Snowflake and Snowpark. The position is for a 36-month apprenticeship to obtain an engineering degree. | DataPost-train | 5 |
| Lead Data Engineer Lead Data Engineer role focused on driving data-driven transformation in the Motor Grader and Medium Tractor value chain. Responsibilities include large-scale data collection, mining, processing, developing data models, analyzing complex datasets, applying advanced analytics and AI/ML, and leading data-focused initiatives. The role also involves guiding team members, partnering cross-functionally, and championing data governance and quality. | Data | 5 |
| Data Scientist Data Scientist role focused on transforming data into advanced analytical and predictive insights for decision-making within Finance. This role involves data exploration, statistical and machine learning modeling, data preparation, and translating analytical outputs into actionable insights. It supports automation and advanced analytics enablement, model monitoring, and business partnership, working closely with IT and Data Platforms. | Data | 5 |
| Data Scientist Data Scientist role at Caterpillar focused on performing analytical tasks and initiatives on large datasets to support data-driven business decisions and enable the Packaging Analytics process. Responsibilities include data gathering, processing, exploring ML techniques like NLP and text analysis, defining analysis scope, reporting insights, and conducting research on data model optimization and algorithms. | Data | 5 |
| 2026校园招聘-智能制造工程师（机械 / 自动化 / 焊接皆可） This role focuses on smart manufacturing engineering within Caterpillar, involving process design, manufacturing feasibility assessment, product manufacturability analysis, tooling design, process optimization, and documentation. It also includes managing production data, on-site process management, problem-solving, and exploring AI applications in manufacturing for tasks like defect identification and process monitoring. The role requires Python for data processing and automation, basic PLC programming, and support for automation and robotics integration. Experience with MES, data acquisition systems, and a basic understanding of AI/ML concepts are preferred. | Data | 5 |
| 2026校园招聘-智能制造工程师（机械+软件方向） This role focuses on driving enterprise-wide digitalization projects, leveraging advanced data analytics and intelligent office automation. It involves developing predictive models, integrating data, and implementing AI-driven solutions for office workflows, including research into enterprise knowledge bases and generative AI for information retrieval and Q&A. The role also supports the deployment of Caterpillar's standard systems. | DataAgent | 5 |
| 2026校园招聘-智能制造工程师（软件） This role is for a Software Engineer focused on intelligent manufacturing at Caterpillar's Tianjin facility. The engineer will develop and implement extensions and integrations for production systems (ERP, MES), participate in IoT projects (data acquisition, integration), and assist with system design and documentation. A key aspect is exploring and applying machine learning, AI, or data analysis methods to manufacturing scenarios like quality analysis, anomaly detection, and predictive analytics. The role also involves supporting existing systems, project management assistance, and staying updated on new technologies in intelligent manufacturing and AI. | Data | 3 |