Caterpillar
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Engineering
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
AI 平台首席工程师
Lead AI Platform Engineer
岗位概述
作为统一 AI 平台的技术与架构负责人，负责平台的整体架构、技术战略和演进路线，支撑 AI 技术在自主机器、矿山等现场运营和未来 AI 产品中快速创新和规模化落地。
岗位职责
战略与路线图：制定 AI 平台的技术战略和多阶段路线图，覆盖 ML、VLA、LLM、RAG、Agent 等技术生态，平衡近期交付与长期演进。
架构与标准：定义 AI 平台整体架构和设计标准，统一训练侧（数据、训练、评估、模型管理）与运行侧（车端和边缘部署、推理）的技术路线，并制定 Agent、RAG 等能力的参考架构。
通用能力建设：抽象跨业务的共性 AI 能力，沉淀为可复用的平台服务、工具和最佳实践，减少重复建设，提升研发效率。
技术治理：建立模型全生命周期治理机制，包括版本管理、模型上线前的评估与准入标准、数据安全与合规、算力资源规划与使用效率；定义训练平台与车端和边缘运行时之间的模型交付规范（模型格式、版本、性能基线与验收标准），确保从训练到部署的闭环。
技术选型与平台可扩展性：主导平台关键技术选型与方案评审，保障平台在各自动驾驶方案中的可扩展性和可靠性。
跨团队赋能：与感知、预测、规划、VLA、调度、车端部署等团队协作，将业务需求转化为平台能力，推动 AI 方案在矿山等现场的自主机器与运营中落地。
技术引领：作为平台方向的技术专家，深入参与关键模块设计与实现，通过技术分享与评审提升相关团队的 AI 工程能力。
任职要求
计算机、人工智能、自动化、数学等相关专业硕士及以上学历。
6 年以上 AI / 机器学习或大规模软件系统研发经验，其中 2 年以上 AI 平台或 ML 系统的架构设计或技术负责经验。
具备 LLM / VLM / VLA 相关的实际项目落地经验，熟悉 RAG 与 Agent 框架的原理及工程实践。
熟悉 AI 全生命周期（数据管理、分布式训练、模型评估、MLOps / LLMOps、部署与监控），并在其中多个环节有深入实践；主导或作为核心成员参与过 AI 平台从 0 到 1 或规模化建设。
熟练使用 PyTorch 等深度学习框架，熟悉 Kubernetes、MLflow、Ray 等云原生或 MLOps 技术栈中的一种或多种。
具备出色的架构抽象能力、技术判断力和跨团队推动能力。
良好的英语读写与沟通能力，能与全球团队进行技术交流。
加分项
有自动驾驶、机器人或工业领域的 AI 平台建设经验，有矿山等非道路场景经验者优先。
有车端或边缘端推理部署经验（TensorRT、ONNX、Orin 等）。
有大模型后训练经验（SFT、RLHF / DPO 等，含 LoRA 等参数高效微调）及评估体系建设经验。
有 AI 治理、模型安全或合规体系建设经验。rovided
November 4, 2026 - November 19, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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