共 39 个在招岗位 · 小米在新加坡的最新招聘信息
1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. 2. Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. 3. Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. 4. Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. 5. Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. 6. Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills.
1. Support market strategy planning: Develop AIoT product GTM strategies and plans based on market research and competitive analysis; identify target customer segments, key selling points, and market entry positioning. 2. Support product launch execution: Assist in new product launch activities, including timeline planning, resource coordination, and budget management. 3. Assist in data analysis and feedback: Collect and analyze market data, sales performance, and customer feedback to optimize GTM strategies; monitor market trends and adjust marketing plans accordingly. 4. Complete other tasks assigned by the supervisor.
Assist in implementing overseas recruitment policies, follow up on policy implementation details, and ensure relevant processes are conducted in a compliant and efficient manner. Participate in the management and optimization of global recruitment channels, including channel data collation, effectiveness analysis, and provide rational suggestions for the company’s talent strategy. Be responsible for specific recruitment execution for relevant departments, including overseas talent sourcing, resume preliminary screening, interview coordination, and auxiliary liaison during the offer stage. Cooperate with the team to organize and file documents related to overseas recruitment, and support cross-departmental recruitment collaboration.
- Serve as the primary compliance subject matter expert on critical projects (e.g., data security, cross-border data transfer compliance, personal data protection), ensuring security and data protection requirements are embedded by design. - Collaborate closely with engineering, product, legal, and DevOps teams to guide the implementation of compliant technical solutions throughout the entire data lifecycle. - Develop, maintain, and improve information security policies, standards, procedures, and guidelines. - Lead and perform internal risk assessments across multiple frameworks, including ISO/IEC 27001/27701, GDPR, SOC2, PCI DSS and other relevant standards. - Lead the end-to-end lifecycle of cybersecurity risk remediation activities, ensuring identified risks are effectively mitigated within agreed timelines. - Manage international security operations, incident response, and regional liaison to adapt global strategies to local needs. - Provide security architecture governance and oversight for new and existing technology solutions.
- Manage the full lifecycle of core security solutions (WAF, MiShield, HIDS) for Xiaomi’s international business, including configuring policies, optimizing rules, and expanding coverage to protect web and mobile applications against threats such as OWASP Top 10 - Develop real-time monitoring and alerting frameworks to analyze security logs, detect anomalous traffic and attacks, produce root-cause analysis reports, and improve defense strategies - Contribute to the design and implementation of an API security framework for international operations, creating models for abnormal behavior detection and access control to prevent unauthorized data access and API abuse - Integrate API security with gateways and microservices, incorporate SAST/DAST tools to promote shift-left security practices, and establish developer security guidelines - Oversee vulnerability management processes including scanning, risk assessment, and remediation for international business, implementing high-risk vulnerability response mechanisms and collaborating with R&D teams on code-level fixes - Monitor global threat intelligence and zero-day vulnerabilities, organize red/blue team exercises, and refine emergency response protocols - Ensure security operations comply with regional regulations such as GDPR and Singapore PDPA, preparing compliance audit reports - Collaborate with international business units, local compliance teams, and third-party vendors to provide security technical support and training
1. Support the operation, maintenance, and development of the company’s overseas data warehouse (mobile device, IoT, and app data domains) 2. Develop and implement data processing techniques and analytics applications to transform raw data into meaningful insights 3. Build and maintain ETL/ELT pipelines using data-oriented programming languages (e.g., Python, SQL) 4. Apply basic data modeling and data mining techniques to process structured and semi-structured datasets 5. Assist in analyzing large datasets and generating insights to support overseas business operations 6. Create data visualizations and simple reports using BI or visualization tools (e.g., Tableau, Power BI, or similar) 7. Collaborate with cross-functional teams to understand data requirements and support analytics use cases 8. Participate in testing, deployment, and monitoring of data workflows
1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. 2. Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. 3. Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. 4. Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. 5. Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. 6. Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills.
1. Learn to research, design, and develop software and utility programs for managing large-scale distributed database and storage systems, with support from the team. 2. Assist in analysing user and system requirements, and contribute to software solutions by applying computer science and engineering fundamentals. 3. Help update and enhance existing software capabilities, and participate in software testing and validation for database and storage services. 4. Collaborate with engineers across different teams to support the integration of database systems, and gradually contribute to system specifications and performance requirements. 5. Under the guidance of a mentor, build tooling and automation for monitoring, capacity planning, backup, and incident response. 6. Progressively participate in on-call rotations and production incident remediation after completing onboarding and training.
1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance. 2. Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers. 3. Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices. 4. Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy. 5. Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort. 6. Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills.
1. As E-Commerce system operational engineer, Provide day-to-day support to ensure smooth running of the e-Commerce and Post-sales business systems. 2. Investigate and diagnose relevant system problems and resolve it independently. 3. Coordinate engineers across different teams to offer solutions. 4. Create/track/close incidents or problem related to business systems using IT service management tools. 5. Summarize work and analyze operational data within a required period for the continual working improvement. 6. Establish knowledge databases, maintain and update technical support documentation.
1.热情接待顾客，了解顾客需求，提供专业的产品咨询和推荐与服务演示。 2.熟练掌握门店所有产品知识，包括功能、配置、价格等，并能清晰地向顾客讲解。 3.积极完成个人销售目标，并协助团队达成门店销售指标。 4.处理顾客投诉和售后问题，提供优质的售后服务，维护顾客关系。 5.维护小米品牌和店面的形象。保持门店环境整洁，商品陈列整齐，营造良好的购物氛围。 6.积极参与公司组织的培训和活动，不断提升自身销售技巧和产品知识。 7.完成上级领导交办的其他任务。 1. Warmly receive customers, understand customer needs, and provide professional product consultation, recommendations and service demonstrations. 2. Proficient in all product knowledge in the store, including functions, configuration, prices, etc., and can clearly explain to customers. 3. Actively complete personal sales targets and assist the team to achieve store sales targets. 4. Handle customer complaints and after-sales problems, provide high-quality after-sales services, and maintain customer relationships. 5. Maintain the image of the Xiaomi brand and storefront. Keep the store environment clean, display the products neatly, and create a good shopping atmosphere. 6. Actively participate in the company organized training and activities, and continuously improve sales techniques and product knowledge. 7. Complete other tasks assigned by leaders.
Support Market Strategy Planning: Assist in developing GTM strategies and plans for AIOT products based on market research and competitive analysis. Identify target customer segments, key selling points, and market entry strategies. Support Product Launch Execution: Coordinate new product launch activities, including timeline planning, resource allocation, and budget management. Create and implement marketing materials (e.g., advertisements, sales toolkits). Assist with Data Analysis and Feedback: Collect and analyze market data, sales data, and customer feedback to optimize GTM strategies. Monitor market trends and promptly adjust marketing plans as needed. Other Assigned Tasks: Complete tasks assigned by the mentor or supervisor as needed.
1、战略客户维护：针对长期合作的大客户，理解中国出海战略客户需求及小米平台特性，深入沟通客户及内部各层级、各部门，输出可落地的解决方案，并创造新的增长点； 2、新客户发掘：发掘中国出海新客户，分析客户需求并结合小米的流量特性，提供定制化的用户增长方案，帮助客户达成增长目标，并完成小米的销售目标，实现共赢； 3、市场洞察：独立判断行业趋势动向，挖掘海外潜力市场，结合国际行业趋势洞察，实现业绩增长； 4、数据分析：通过数据分析和行业洞察，定期进行复盘和规划，确保目标拆解和执行落地； 5、跨部门协作：通过跨部门、跨团队的协作，有效推动大客户需求发掘和问题解决，提升服务链路的效率与质量。
1、负责相关业务的数据清洗融合流程的建设、维护、策略优化等； 2、负责相关数据分析和预测、应用数据预估和关联挖掘、应用内使用数据统计等工作； 3、探索和研究有效的机器学习/深度学习模型，为公司其他部门或项目提供决策支持； 4、负责构建用户画像标签，分析用户兴趣偏好。
岗位描述： 1、利用统计学，机器学习，深度学习等相关算法解决复杂的业务问题； 2、将顶尖的人工智能算法应用到各种具有挑战性的实际场景中； 3、进行数据建模与算法相关方向的前沿研究。
1、调研集团各产品存在的安全和隐私合规问题，并推动业务方整改； 2、维护日常隐私合规监控体系，定期统计分析各项隐私合规运营指标； 3、参与各类安全与隐私合规认证项目（如ISO/IEC 27001、CCRC、ISO/IEC 27701等），推动集团内部各个部门产品达到认证要求； 4、解决集团各部门安全与隐私需求，以安全与隐私视角对业务需求进行评估与审核； 5、对接监管机构、上级部门的信息安全排查、整改工作。
岗位职责： 1. 参与公司业务系统的安全评估，包括安全设计评审、威胁建模、第三方组件风险分析等； 2. 对 Web/移动端应用进行渗透测试与安全测试，输出报告并推动漏洞修复闭环； 3. 参与 SRC 漏洞审核工作，对外部提交的安全漏洞进行验证、评级与跟踪处理； 4. 参与应用安全 AI 赋能建设，探索利用 LLM/Agent 提升DevSecOps效率和能力的工程化方案。
1、我们为小米的站点稳定性提供系统和工具，是稳定性工程专家； 2、实践DevOps , Google SRE 和 AI Ops 的工程思想； 3、站在软件生命周期全局考虑如何保障系统健壮性，稳定性，并通过软件工程技术为站点保驾护航； 4、站在用户/工程师的角度提供易用的工具和平台产品，不断完善使用体验； 5、负责集团基础软件/工具/平台的设计和研发，维护小米各项业务的稳定运行； 6、按照优秀的工程实践完成需求，设计，编码，测试，发布的软件开发流程； 7、按照标准编写设计/开发/运维/用户文。
1.参与完成AI在电动汽车智造领域的关键技术预研、业务开发工作； 2.参与打造企业运营AI产品，提升团队的运营效率； 3.参与汽车舆情产品算法建设，包括标签分类，情感分类，热词提取等，辅助完成汽车舆情管理闭环； 4.运用大数据、人工智能和运筹优化等先进数字技术，深入挖掘和分析海量汽车工厂制造数据，建立模型，解决制造领域遇到的问题，提高生产效率，降低成本。
1.协同业务需求方，完成数据分析与应用需求，负责数据接入、清洗、加工和建模工作； 2.基于电视产品的质量和用户体验，协同探索提高产品口碑的技术方案； 3.协助数仓模型建设，完成部分数据表规划与开发； 4.参与数据治理，梳理数据逻辑以及血缘关系等，提升数据质量。
1.负责跟踪业务系统的用户反馈，针对反馈分析提炼,推动系统改进和相关需求落地； 2.能结合业务场景设计用户调研方案推动提升系统质量，提升用户满意度； 3.通过梳理系统的流程和功能，发现用户痛点，提出相关业务解决方案或技术产品需求； 4.能够根据症状标签和故障原因制定自研系统的改善计划并推动改进； 5.有质量地完成问题知识库周月复盘、月度总结分析等知识管理的工作。
1.负责大模型网关核心研发与架构设计，完成需求分析、功能开发、迭代优化，搭建高可用、高性能、可扩展的大模型统一接入管控平台，支撑业务侧模型稳定调用。 2.设计并实现网关核心能力，涵盖多模型统一适配、路由调度、负载均衡、限流熔断、权限鉴权、协议转换等功能，实现各类大模型服务的标准化接入与集中管理。 3.优化网关性能与调用体验，针对模型推理耗时、并发承载能力、响应延迟等指标做专项优化，完善缓存与异步处理机制，提升系统吞吐量与稳定性，保障高并发场景平稳运行。 4.整合上下游服务与外部接口，对接私有化模型、第三方模型API、业务系统、监控平台等，打通模型调用全链路，搭建日志统计、用量核算、监控告警等配套模块。 5.参与技术评审与技术攻坚，解决研发和上线中的核心技术问题，保障系统稳定性、安全性与可扩展性，跟进行业前沿技术，推动网关持续迭代升级。
We are seeking a highly skilled and motivated Senior Information Security Compliance Engineer to join our dynamic team. In this pivotal role, you will be the cornerstone of our compliance and data security initiatives. You will be responsible for tracking, implementing, and validating controls against leading security and privacy protection frameworks, with a specific emphasis on protecting sensitive data throughout its lifecycle. 1. Serve as the primary compliance subject matter expert on critical projects (e.g., data security, cross-border data transfer compliance, personal data protection), ensuring security and data protection requirements are embedded by design. 2. Collaborate closely with engineering, product, legal, and DevOps teams to guide the implementation of compliant technical solutions throughout the entire data lifecycle. 3. Lead and perform internal risk assessments across multiple frameworks, including ISO/IEC 27001/27701, GDPR, SOC2, PCI DSS and other relevant standards. 4. Manage international security operations, incident response, and regional liaison to adapt global strategies to local needs.
Job Summary We are seeking a motivated Junior Cloud Engineer to support the deployment, operation, and continuous improvement of cloud-based infrastructure. This role is ideal for candidates looking to build hands-on experience in cloud engineering, automation, and scalable systems. Key Responsibilities 1.Deploy and configure solutions in the cloud across development and production environments. 2. Automate cloud operations by developing infrastructure automation scripts and contributing to the continuous improvement of cloud solutions. 3. Participate in the specification, setup, and execution of Proof of Concepts (PoCs) and technical demonstrations of cloud solutions. 4. Administer and maintain servers and services across virtualized and cloud platforms. 5. Monitor system performance and availability, and support incident troubleshooting and resolution. 6. Collaborate with senior engineers to improve system reliability, scalability, and operational efficiency.
As a Senior Client Partner, you will serve as a senior individual contributor responsible for end-to-end business growth of Xiaomi's most strategic global advertisers—primarily mobile-first companies in verticals such as gaming, OTA, fintech, and more. This is a quota-carrying role focused on strategic account planning, consultative solution, and global coordination across Xiaomi's media surfaces.This role is ideal for a commercially driven digital expert with deep experience in mobile performance marketing and client leadership—someone who thrives in a fast-paced, highautonomy environment.
We are seeking fresh graduates to join our Database & Storage Infrastructure team in Singapore as Computer Software Engineers. You will be trained and mentored to research, design, and develop software for our large-scale distributed database and storage platforms, growing into a core engineer on systems that serve business-critical workloads across regional markets. Job Description - Learn to research, design, and develop software and utility programs for managing large-scale distributed database and storage systems, with support from the team. - Assist in analysing user and system requirements, and contribute to software solutions by applying computer science and engineering fundamentals. - Help update and enhance existing software capabilities, and participate in software testing and validation for database and storage services. - Collaborate with engineers across different teams to support the integration of database systems, and gradually contribute to system specifications and performance requirements. - Under the guidance of a mentor, build tooling and automation for monitoring, capacity planning, backup, and incident response. - Progressively participate in on-call rotations and production incident remediation after completing onboarding and training.
1. Lead smartphone product management, including product planning, go-to-market (GTM) strategy development, and channel management for new product launches. 2. Conduct in-depth market research and competitor analysis, manage the entire product lifecycle, and take ownership of product sales performance. 3. Define key product value propositions and collaborate with cross-functional teams to develop effective marketing and communication strategies. 4. Manage product pricing, demand planning, and PSI (Purchase, Sales & Inventory) to maximize profitability while maintaining healthy market order and inventory levels. 5. Plan and manage product marketing budgets, ensuring marketing resources are aligned with product strategy to maximize ROI and sustain product momentum throughout the lifecycle.
Job description： - Support the operation, maintenance, and development of the company’s overseas data warehouse (mobile device, IoT, and app data domains) - Develop and implement data processing techniques and analytics applications to transform raw data into meaningful insights - Build and maintain ETL/ELT pipelines using data-oriented programming languages (e.g., Python, SQL) - Apply basic data modeling and data mining techniques to process structured and semi-structured datasets - Assist in analyzing large datasets and generating insights to support overseas business operations - Create data visualizations and simple reports using BI or visualization tools (e.g., Tableau, Power BI, or similar) - Collaborate with cross-functional teams to understand data requirements and support analytics use cases - Participate in testing, deployment, and monitoring of data workflows
Job description： - Lead the design and optimization of search relevance, ranking, and overall user experience on the Mi.com platform - Architect and evolve end-to-end search systems, including query understanding, retrieval, ranking, and re-ranking pipelines - Build scalable and production-ready ML systems for search, handling large-scale real-time and unstructured data - Develop advanced query understanding capabilities (e.g., query rewriting, intent classification, semantic parsing) - Optimize system performance across relevance, latency, and scalability dimensions - Deploy, monitor, and troubleshoot ML models in production environments - Mentor junior engineers and collaborate cross-functionally to deliver impactful search improvements
Job Responsibilities Assist in implementing overseas recruitment policies, follow up on policy implementation details, and ensure relevant processes are conducted in a compliant and efficient manner. Participate in the management and optimization of global recruitment channels, including channel data collation, effectiveness analysis, and provide rational suggestions for the company’s talent strategy. Be responsible for specific recruitment execution for relevant departments, including overseas talent sourcing, resume preliminary screening, interview coordination, and auxiliary liaison during the offer stage. Cooperate with the team to organize and file documents related to overseas recruitment, and support cross-departmental recruitment collaboration.
