java服务端开发 杭州 全职 互联网 / 电子 / 网游 职位描述 【岗位职责】主导核心系统的业务建模、架构迭代与性能优化，保障系统稳定性与可扩展性（以 Java 后端为主）。负责重点项目的技术方案设计与评审，承担核心代码开发、Code Review 与技术把关。从端到端视角识别并推动解决产品、技术、协作问题，持续提升交付效率（覆盖前后端与交互链路）。具备全栈能力，在关键场景下可独立完成前端开发与问题排查（基于 Vue / React），推动前后端协同与体验优化。建设并落地 AI Coding 研发实践（如需求拆解、上下文管理、代码生成、测试补全、质量门禁、复盘优化）。参与 Agent 应用开发，推进工具调用、工作流编排、记忆管理、评测与监控能力建设。【任职要求】3 年及以上 Java/Web 开发经验，Java 基础扎实，熟悉 JVM、并发编程、常见中间件与分布式系统设计。熟悉前端主流框架（Vue / React 至少一种，具备另一种的基本理解），能够独立完成中后台或业务页面开发。理解前后端分层与接口设计，具备良好的 API 设计能力与前后端协作经验（如状态管理、接口约定、错误处理）。具备较强的系统设计与抽象能力，能够在复杂场景下权衡技术方案的价值、成本与风险。有较强的问题分析与推进能力，责任心强，沟通清晰，能高效协同产品、运营与非技术团队。熟悉主流 AI Coding 方法论并有实践经验，如：Spec/任务驱动开发、AI 辅助测试、迭代式评审与质量闭环。了解主流
AI系统架构师 成都 全职 职位描述 1.AI系统架构设计与交付负责企业级AI系统整体架构设计，围绕大模型、Agent、多模态AI等技术，完成从技术方案设计、研发到实际项目交付的全过程。2.Agent智能体架构建设负责Agent系统架构设计，包括：oAgent Harness、Agent Runtime；oPlanning / Reasoning任务规划与执行；oTool Calling、Memory、Workflow；oMulti-Agent协同；oAgent评估优化及持续进化机制。推动Agent从应用助手向具备自主执行、能力扩展和持续优化能力的智能系统演进。3.Agent能力体系建设负责Agent能力组件化建设，包括Skill、Tool、Knowledge等能力设计，实现业务能力沉淀、复用和智能化编排。4.大模型及多模态AI应用落地负责大模型技术研究与应用，包括RAG、Prompt Engineering、模型微调、推理优化、多模态大模型等，推动AI能力在业务场景中的落地。5.AI工程化及团队技术建设负责AI系统工程化建设，包括模型服务、Agent平台、端侧部署等；参与技术团队建设，承担技术规划、方案评审和团队协作管理。 职位要求 1. 学历与经验硕士及以上学历，计算机、人工智能、软件工程等相关专业；5年以上AI、大模型或软件架构相关经验；具备企业级AI系统架构设计经验；有完整AI项目从方案设计到实际交付经验；具备技术负责人或团队管理经验优先。2. Agent技术能力深入理解Agentic AI技术体系及发展趋势；具备Agent Harness、Agent Runtime设计经验；熟悉Planning、Reasoning、Tool Calling、Memory、Multi-Agent等核心技术；具备Skill体系设计和Agent能力组件化经验；具备Agent反馈闭环、评估优化和自进化机制设计经验；熟悉LangGraph、AutoGen、CrewAI、Semantic Kernel、OpenAI Agents SDK等主流框架；掌握OpenClaw、hermes等最新Agent技术和实现原理。3. 大模型及多模态能力深入理解Transformer及主流大模型技术；熟悉GPT、Claude、Qwen、Llama等主流模型体系；熟悉RAG、Embedding、知识增强、模型微调及推理优化；熟悉多模态大模型原理及应用经验4. 工程化及端侧能力精通Python，熟悉PyTorch等AI开发框架；具备大模型部署和性能优化经验；具备端侧AI部署经验，熟悉Android系统上部署优先了解端侧模型优化、系统集成及端云协同架构。5. 优先条件有智能座舱、汽车AI Agent研发经验；有车载Android系统、大模型端侧部署经验；有大型AI平台建设或商业化交付经验。 投递...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential
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具身Agent算法工程师-通用业务部 上海 校招 正式 技术 - 算法类 职位 ID：A68464 职位描述 设计分层/端到端 Agent 架构：负责高层任务理解（Task Planning）→ 中层行为规划（Skill/Sub-goal Decomposition）→ 底层动作执行（VLA/RL/WBC）的全栈算法设计。研发基于大模型的具身决策引擎：利用 LLM/VLM 进行任务拆解、常识推理、异常恢复（Failure Recovery）与重规划（Re-planning），实现 SayCan、RT-H、VoxPoser、CoPa 等路线的工程化落地。构建多模态感知-记忆-行动闭环：融合视觉、语言、触觉、本体感知与历史交互信息，支持长程任务中的上下文保持与状态追踪。设计机器人记忆架构：包括短期工作记忆（Working Memory，支持当前任务上下文）、长期情景记忆（Episodic Memory，存储历史交互经验）与语义记忆（Semantic Memory，存储物体属性、环境常识）。实现基于记忆的 RAG/在线学习：支持机器人在执行中动态检索历史经验、调用外部知识库，并通过真实交互数据实现策略的持续微调（Continual Learning）与自我改进（Self-Improvement）。 职位要求 计算机科学、人工智能、机器人学、认知科学等相关专业，硕士及以上学历。Agent 与 LLM：深入理解 LLM Agent 架构（ReAct、Reflexion、LATS、AutoGPT 等），具备 Prompt Engineering、Function
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Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.
Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. We are currently seeking an experienced professional to