Job TitleSystem Engineer Job Description 系统工程师（System Engineer）-医疗/消费电子产品 岗位要求： 1. 扎实的系统工程相关知识，熟悉系统需求定义、DFMEA、测试方案（Test Protocol）、验证与确认（V&V）、测试方法与设备以及可靠性分析； 2. 具备强烈的质量意识，坚持以客户为中心（Customer First）的系统设计与决策理念； 3. 工作思路严谨，注重细节，能够在复杂系统和跨部门协作环境中推进高质量交付 4. 保持持续学习的心态，主动跟进新技术、新工具及行业标准，不断提升专业能力 Job Responsibilities: As the System Engineer, you are accountable for ensuring the product development team (including ODM/OEM suppliers) follows the
The Role: Youll be an experienced real-time embedded system engineer with excellent knowledge in software build/test/release process for continuous integration and continuous deployment (CI/CD). Working in an agile cross-functional team, you will be a key member of
LMI Technologies, recognized as one of Canada’s Best Workplaces, is a medium-sized technology company built on a culture of openness, respect and professional excellence. At LMI our staff work passionately toward the common goal of designing
1. Primary Responsibilities 1.1 Battery Supplier Development Engineer Supplier Evaluation and Process Development: Conduct comprehensive assessments of battery suppliers, evaluating process capabilities, manufacturing readiness, and technical competencies. Work with suppliers to optimize key manufacturing processes such
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s
我们正在寻找一位 全栈工程师，参与核心 AI Agent 产品从架构设计、能力建设到生产落地的完整过程。你将参与 Web 产品、API 服务、Agent 编排系统、后台任务系统、数据层和部署流程等多个环节，和团队一起构建面向真实生产环境的 AI Agent 产品。 你将深度参与 AI Agent 系统的工程化建设，包括 Agent Loop、工具调用、任务编排、多步骤执行、上下文管理、模型路由、异步任务处理、结果持久化、错误恢复、日志追踪与系统可观测性等关键模块。这个岗位不是简单调用大模型 API，而是需要将 LLM 能力、业务流程、前后端系统和用户体验结合起来，构建可稳定运行、可持续扩展的生产级 Agent 产品。 在这个角色中，你需要理解 Agent 如何接收用户目标、拆解任务、选择工具、执行动作、处理中间状态、根据反馈继续推理，并最终产出可靠结果。你也需要关注 Agent 执行过程中的实际工程问题，例如任务超时、工具失败、重试策略、状态一致性、成本控制、并发执行、队列调度、数据追踪以及生成结果的可复现性。 你会和产品、设计、前端、后端和基础设施团队紧密协作，把 AI 能力落到真实的产品体验中。我们希望你既能理解前端产品形态和用户交互，也能深入后端服务、数据模型、任务队列和 Agent 编排系统，帮助团队搭建长期可维护、可扩展、可观测的 AI Agent 工程体系。
CASETiFY is one of the leading global lifestyle brands to offer customizable tech accessories. We’re industry leaders when it comes to trend forecasting and protecting what matters most; the community platform for creativity and self-expression. We
About us Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We’re driven by progress and thrive on the challenge
Company Description Trainor Consulting is an international consulting firm specialized in heavy industry and energy projects, supporting clients across China and the APAC region. The company delivers high-value expertise in sectors such as oil & gas,
RateHawk is part of Emerging Travel Group — a pioneering travel-tech company also known for its two other brands, ZenHotels and Roundtrip, spanning over 220 markets worldwide. Our mission is to create, distribute, and operate the
1. Primary Responsibilities 1.1 Battery Supplier Development Engineer Supplier Evaluation and Process Development: Conduct comprehensive assessments of battery suppliers, evaluating process capabilities, manufacturing readiness, and technical competencies. Work with suppliers to optimize key manufacturing processes such
我们正在寻找一位 全栈工程师，参与核心 AI Agent 产品从架构设计、能力建设到生产落地的完整过程。你将参与 Web 产品、API 服务、Agent 编排系统、后台任务系统、数据层和部署流程等多个环节，和团队一起构建面向真实生产环境的 AI Agent 产品。 你将深度参与 AI Agent 系统的工程化建设，包括 Agent Loop、工具调用、任务编排、多步骤执行、上下文管理、模型路由、异步任务处理、结果持久化、错误恢复、日志追踪与系统可观测性等关键模块。这个岗位不是简单调用大模型 API，而是需要将 LLM 能力、业务流程、前后端系统和用户体验结合起来，构建可稳定运行、可持续扩展的生产级 Agent 产品。 在这个角色中，你需要理解 Agent 如何接收用户目标、拆解任务、选择工具、执行动作、处理中间状态、根据反馈继续推理，并最终产出可靠结果。你也需要关注 Agent 执行过程中的实际工程问题，例如任务超时、工具失败、重试策略、状态一致性、成本控制、并发执行、队列调度、数据追踪以及生成结果的可复现性。 你会和产品、设计、前端、后端和基础设施团队紧密协作，把 AI 能力落到真实的产品体验中。我们希望你既能理解前端产品形态和用户交互，也能深入后端服务、数据模型、任务队列和 Agent 编排系统，帮助团队搭建长期可维护、可扩展、可观测的 AI Agent 工程体系。
JoomPro is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today, JoomPro operates in Brazil and Mexico, with plans to