Caterpillar
Industrial · Autonomous mining trucks
- HQ
- Irving, US
- Founded
- 1925
- Funding
- Public (CAT)
- Website
- caterpillar.com
Industrial · Autonomous mining trucks
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).
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 |
|---|---|---|
| Mining Technical Support Engineer This role focuses on enabling software and system issue resolution within the mining industry. Responsibilities include conducting risk assessments, root cause analysis, corrective actions, and quality assurance. The candidate will work with engineering on corrective action approaches and communicate customer feedback to development teams. Key skills include industry and application knowledge, troubleshooting, software product testing, customer focus, communication, systems thinking, and technical troubleshooting. | — | 0 |