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.
Currently tracking 22 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $113k–$240k (avg $180k).
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 |
|---|---|---|
| Development & Research Engineering Specialist This role focuses on research and development in ferrous metallurgy, exploring new alloy development, foundry processes, and heat treatments for Caterpillar's next-generation products. It involves managing complex engineering projects, providing technical expertise, and collaborating with external research partners. | — | 0 |
| CX Research and Information Designer This role focuses on transforming complex qualitative and quantitative data and insights into clear, engaging, and actionable visual narratives. The individual will design concept prototypes, craft protocols, questionnaires, and surveys, and collect feedback through customer interviews and user testing sessions. The role requires synthesizing complex information, designing intuitive visuals, and telling data-driven stories to drive customer-centric decisions. It involves collaboration with researchers, analysts, UX/Design Leads, and Product/Insights Leads. | — | 0 |
| Research Senior Engineer |
| — |
| 0 |