Caterpillar
Industrial · Autonomous mining trucks
- HQ
- Irving, US
- Founded
- 1925
- Funding
- Public (CAT)
- Website
- caterpillar.com
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 |
|---|---|---|
| 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 |
| 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. | ServeAgent | 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 |
| Senior Software Engineer – Data Platform Seeking a Senior Software Engineer to build a scalable data platform for ingesting high-frequency telemetry data from mobile machines. The role involves transforming a legacy monolith into a containerized, cloud-ready architecture supporting data science and machine learning workloads, including stream/batch processing, lakehouse persistence, and low-latency predictive model hosting. Key technologies include Apache Spark, Delta Lake, Kubernetes, and various message brokers and caching systems. | Serve | 5 |
| Autonomy Engineer - Platform Seeking an Autonomy Engineer to design, build, and operate platform capabilities for AI-driven autonomy applications on on-premises infrastructure. This role focuses on scalable, reliable platform services for industrial environments, integrating autonomy solutions, and improving system reliability using DevOps and platform engineering practices. | ServeAgent | 5 |
| Manufacturing Project Engineer The Manufacturing Project Engineer role focuses on improving manufacturing processes, safety, and efficiency by researching, developing, and deploying physical automation technologies. This includes supporting projects in robotics, automation systems, machine learning, and vision-based applications, evaluating automation opportunities, and overseeing the installation and commissioning of automation equipment to enhance Safety, Quality, Velocity, and Cost. | Serve | 5 |
| Manufacturing Engineering Manager This role manages manufacturing engineering for automated systems, processes, and product engineering, focusing on improving manufacturing methods, equipment, and infrastructure. It drives innovation using robotics, AI, machine learning, and 3D vision systems for operations like welding, painting, and assembly, and plays a critical part in New Product Introduction (NPI) readiness and execution. | Serve | 5 |