Lead AI Platform Engineer
Caterpillar2 days ago
Wuxi, China or Shanghai, ChinaStaff+
Responsibilities
- Define the AI platform’s technical strategy, architecture, design standards, and multi-phase roadmap across ML, VLA, LLM, RAG, and Agent technologies.
- Unify training-side capabilities such as data, training, evaluation, and model management with vehicle- and edge-side deployment and inference.
- Create reusable cross-business AI platform services, tools, reference architectures, and engineering best practices.
- Establish model lifecycle governance covering versioning, evaluation and release criteria, data security, compliance, compute planning, and model delivery standards.
- Lead technology selection, architecture reviews, and scalability and reliability planning for autonomous machine solutions.
- Collaborate with perception, prediction, planning, VLA, dispatch, and vehicle deployment teams to deliver AI capabilities for mining and other field operations.
- Participate deeply in key module design and implementation and improve AI engineering capability through technical reviews and knowledge sharing.
Requirements
- A master’s degree or higher in computer science, artificial intelligence, automation, mathematics, or a related field.
- At least 6 years of experience in AI, machine learning, or large-scale software systems, including at least 2 years of AI platform or ML system architecture or technical leadership experience.
- Hands-on project experience with LLM, VLM, or VLA deployments and knowledge of RAG and Agent framework principles and engineering practices.
- Deep experience across multiple AI lifecycle areas, including data management, distributed training, model evaluation, MLOps or LLMOps, deployment, and monitoring.
- Experience leading or being a core contributor to an AI platform built from the ground up or scaled substantially.
- Proficiency with PyTorch or similar deep learning frameworks and familiarity with one or more of Kubernetes, MLflow, and Ray.
- Strong architecture abstraction, technical judgment, cross-team influence, and English communication skills.
- Preferred experience includes AI platform work for autonomous driving, robotics, industrial systems, or off-road mining environments.
- Preferred experience includes vehicle or edge inference deployment with TensorRT, ONNX, or Orin.
- Preferred experience includes large-model post-training such as SFT, RLHF, DPO, or LoRA, evaluation systems, and AI governance, model security, or compliance.
Benefits
- The posting dates are November 4, 2026 through November 19, 2026.
- Caterpillar is an equal opportunity employer and encourages qualified applicants of any age to apply.
Tech Stack
Categories
About Caterpillar
Caterpillar Inc. designs, manufactures, and services construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives for infrastructure, resource, and energy customers. The public company, founded in 1925 and headquartered in Irving, Texas, sells primarily through an independent worldwide dealer network and provides equipment financing. It operates through Construction Industries, Resource Industries, and Energy & Transportation segments, with shares traded on the NYSE and Euronext Paris.