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 |
|---|---|---|
| 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 |
| Platform Engineer - On Prem Kubernetes Platform Seeking a Platform Engineer to design, build, and operate a next-generation on-premise Kubernetes platform supporting mission-critical applications. This role involves modernizing software delivery using Generative AI and agentic development tools, acting as a human-in-the-loop technical leader for AI-assisted engineering. | Serve |
| 5 |
| Manufacturing Project Engineer The role focuses on researching, developing, and deploying physical automation technologies in manufacturing, including robotics, machine learning, and vision systems, to improve process capability, efficiency, quality, and cost. It involves evaluating existing processes, designing and testing automation concepts, and supporting installation and commissioning. | Serve | 5 |
| Azure Cloud Engineer This role focuses on designing, building, and operating Azure cloud infrastructure and platform services that support enterprise-scale AI and machine learning workloads. The engineer will deploy and integrate Azure AI services, automate infrastructure, and manage PaaS solutions, acting as a technical contact for Azure platform services. The role emphasizes automation, DevOps, and problem-solving within a global, distributed environment, with a focus on enabling AI integration and modernizing enterprise technology platforms. | ServeAgent | 5 |