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 |
|---|---|---|
| Autonomy Engineering Specialist This role focuses on implementing machine learning algorithms on industrial machines for autonomous control systems. It involves creating ML algorithms, integrating ML software on hardware, leading early testing, and supporting AI assistant development. The role also acts as an AI expert for the division and coaches the team on AI solutions. | ServeData | 7 |
| Electronic Components Project Lead Manages projects for edge AI compute ECUs in machine and autonomy systems, focusing on design, development, and testing of electronic components. Acts as a platform lead for end-to-end delivery solutions. | ServeAgent |
| 7 |
| Global Data Science Architect The Global Data Science Architect will serve as the technical lead for data science architecture across Caterpillar’s Autonomy & Automation (A&A) programs, ensuring traditional AI and GenAI capabilities are designed to accelerate product innovation and internal tooling velocity. Responsibilities include architecting solutions, defining standards for model delivery and deployment, and ensuring ISO 9001 compliance and alignment with AI governance. | ServePost-train | 7 |
| Senior Manager Software Engineering-DataOps/MLOps/AIOps/DevOps Senior Engineering Manager to lead DataOps, MLOps, AIOps, and DevOps capabilities, focusing on operationalizing data and AI at enterprise scale. The role involves driving the design, development, deployment, and intelligent operation of data platforms, ML systems, and cloud-native infrastructure, ensuring reliability, performance, security, and continuous optimization. Key responsibilities include strategic direction, platform strategy, ML lifecycle management, CI/CD, SRE principles, AI Ops adoption for proactive monitoring and remediation, and ensuring governance, security, and compliance. | ServePost-train | 7 |
| 视觉算法部署实习生 The role involves assisting in the development and implementation of visual solutions for autonomous driving, focusing on integrating and debugging embedded systems and visual components. It requires implementing core perception capabilities like object detection and obstacle recognition using computer vision and deep learning, and optimizing embedded inference. The role also involves dataset construction, quality control, and performance evaluation. | ServeData | 7 |
| Global Data Science Architect The Global Data Science Architect will serve as the technical lead for data science architecture across Caterpillar’s Autonomy & Automation (A&A) programs, ensuring traditional AI and GenAI capabilities are designed to accelerate product innovation and internal tooling velocity. This role involves architecting and overseeing AI solutions, defining architectural standards for model delivery and deployment, and ensuring ISO 9001 compliance and alignment with AI governance. | Serve | 7 |
| 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 |