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Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: 3 years of experience with working in a matrixed organization with cross-functional, or cross-business projects. Experience in programming languages like C++ and data pipelines. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Indexing Web App team runs the applications that generate the web, image, and other large, shared datasets to support information retrieval products across Google.In this role, you will contribute to the development and optimization of information retrieval systems. You will work closely with the engineering team to design, implement, and maintain pipelines and tools, ensuring efficient and accurate data retrieval. You will have the opportunity to learn and grow within a dynamic environment, managing issues related to data structures, algorithms, and performance optimization. You should be passionate about information retrieval technologies, eager to learn, and ready to contribute to the mission of delivering fast and reliable experiences.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Understand end-to-end data indexing infrastructure at Google and build indexing components to produce quality datasets and enable Google products to iterate on innovations. Create solutions to promote data quality, system reliability and efficiency. Implement Artificial Intelligence (AI) goals of the organization in indexing systems. Collaborate with talent teams across core data globally. Work in a team that embraces contributions of all members. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

【我們在做的事】幾年前，我們打造了一個產品，並成功在市場上驗證價值，讓公司穩定站住腳。但這不是終點。現在，我們正在做一件更大的事情——把 AI 能力，直接接到「商業價值」上。我們不只是處理流量，而是開始處理「意圖（intent）」：當使用者在閱讀內容、發問、互動時，我們即時捕捉這些訊號，透過 AI 分析與轉換，讓這些行為變成可以被理解、被匹配，甚至被變現的商業價值。這不只是 AI feature，而是一整條從「使用者行為 → AI理解 → 商業轉換」的產品鏈。我們在找的不是單純的工程師，而是——能把產品做出來，也能讓它產生影響力的人。【這個角色在做什麼】你會參與一條非常直接的 loop：把使用者的行為（intent）轉成產品價值，甚至營收日常會包含：1️⃣ 產品開發（End-to-End Ownership） • 設計與開發 backend services（Go / Python） • 建立 OpenAPI-first 的 API（逐步走向 AI / agent interface） • 開發前端體驗（Vue / Nuxt），包含 AI QA、互動流程、內容嵌入等2️⃣ AI 功能整合（Production，而不是 PoC） • 將 LLM / AI 模型整合進實際產品功能 • 應用在：內容理解、問題生成、推薦、對話等場景 • 不只是 demo，而是面對真實使用者與流量3️⃣ 快速實驗與產品迭代 • 快速做出 prototype（幾天內，而不是幾週） • 決定哪些東西該繼續、哪些該停止 • 持續把好的想法推進到 production 4️⃣ 全流程負責（從開發到上線） • 部署、監控、維運你開發的系統（Kubernetes / EKS） • 使用 Prometheus / Grafana / Sentry 進行觀測 • 問題發生時能快速定位與處理5️⃣ 工程 × 商業思維 • 理解產品如何創造價值（例如：轉換、匹配、流量品質） • 在技術決策時，同時考慮效能、體驗與成本（FinOps）6️⃣ AI-native 開發方式 • 日常使用 AI 工具（Claude、Cursor 等）加速開發 • 自動化測試、文件與流程 • 持續優化開發效率與方式【技術架構】〖Frontend〗Vue.js / Nuxt.js / Vuex〖Backend〗Golang / Python / PostgreSQL / Redis〖Infrastructure〗AWS / GCP / Kubernetes（EKS）/ multi-cloud CDN〖Observability〗Prometheus / Grafana / Sentry / Loki〖AI / Data〗Claude / Cursor / Databricks / Clickstream pipelines / Vector Search【必備條件】 • 有 3 年以上全端或相關開發經驗（接近以下 tech stack） • 曾經完整參與產品開發流程（前後端 / 部署 / 維運） • 熟悉 Go 或 Python（至少一種），以及 Vue.js 或類似前端框架 • 有實際將 AI / LLM 應用到產品中的經驗（不只是實驗） • 能在需求不明確的情況下推進事情，而不是等待指示【加分條件】 • 熟悉 agent 架構或相關工具（MCP、LangGraph、n8n 等） • 有 ad tech / martech / SaaS 經驗 • 理解基本商業指標（如轉換率、流量價值等）【為什麼這個角色重要】我們正處於一個關鍵階段： • 既有產品已經驗證成功並穩定運作 • 新一代 AI 產品已經有真實用戶與使用場景 • 下一步，是證明它能規模化創造商業價值--【What You’ll Do】You’ll be part of a very direct loop:Turning user intent into product value—and potentially revenue.Your day-to-day will include:1️⃣ Product Development (End-to-End Ownership) • Design and build backend services (Go / Python) • Develop OpenAPI-first APIs (evolving toward AI / agent interfaces) • Build frontend experiences (Vue / Nuxt), including AI QA, interactive flows, and embedded content2️⃣ AI Integration (Production, not PoC) • Integrate LLMs / AI models into real product features • Apply them to use cases such as content understanding, question generation, recommendation, and conversational flows • Work with real users and real traffic—not just demos3️⃣ Rapid Experimentation Iteration • Build prototypes quickly (in days, not weeks) • Decide what to push forward and what to stop • Continuously move strong ideas into production4️⃣ Full Ownership (From Development to Production) • Deploy, monitor, and operate the systems you build (Kubernetes / EKS) • Use tools like Prometheus, Grafana, and Sentry for observability • Diagnose and resolve issues quickly when they occur5️⃣ Engineering × Business Thinking • Understand how the product creates value (e.g., conversion, matching, traffic quality) • Consider performance, user experience, and cost (FinOps) in technical decisions6️⃣ AI-Native Development Workflow • Use AI tools (Claude, Cursor, etc.) as part of your daily workflow • Automate testing, documentation, and development processes • Continuously improve development speed and quality【Requirements】 • 3+ years of full-stack or related development experience (aligned with the stack above) • Experience building and shipping products end-to-end (frontend, backend, deployment, operations) • Proficiency in Go or Python (at least one), and Vue.js or similar frontend frameworks • Hands-on experience applying AI / LLMs in real product scenarios (not just experimentation) • Ability to move forward in ambiguous situations instead of waiting for perfect clarity【Nice to Have】 • Familiarity with agent architectures or tools (MCP, LangGraph, n8n, etc.) • Experience in ad tech / martech / SaaS • Understanding of basic business metrics (e.g., conversion rate, traffic value)

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with iOS or Android mobile application development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience with the full software development life-cycle, such as launching and maintaining mobile applications. Knowledge of payments, Ads or Maps tech stacks. Understanding of testing methodologies and best practices for mobile applications. Demonstrated interest and experience in using AI tools for development workflows. Passion for user-facing features and a strong sense of product excellence. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As the engineer of Google Pay for Business, our mission is to empower Small and Medium Businesses (SMBs) by enriching their digital presence and driving growth through intuitive tools.We are a team of builders who value collaborative innovation; using AI in our daily work both for development and to ensure complex technology feels simple and empowering for every merchant.Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.Responsibilities Design, develop, test, deploy, maintain, and improve mobile software, from user-facing applications to server-side Application Programming Interfaces (APIs). Collaborate effectively with product managers, UX designers, and other engineers to define and implement user-facing features in a changing environment across all phases of the software development lifecycle. Write high-quality, well-tested, and maintainable code in Flutter. Advocate product excellence and ensure features are universal, considering accessibility and internationalization. Leverage AI tools to enhance and accelerate development workflows. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development. Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices. Experience creating content for technical audiences and experience with web technologies (HTTP, HTML, DNS, TCP, etc.). Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays. Ability to communicate in English and Mandarin to support client relationship management in this region. Preferred qualifications: Experience with SQL/NoSQL database, open source software communities, Cloud networking solutions, or distributed computing technology (serverless, storage). Experience as a system/network administrator working with Linux/Unix systems, from kernel to shell, file systems, and client-server protocols. Experience with web or mobile app development, troubleshooting database issues, schema design, and SQL query profiling. Experience working with any public cloud services and infrastructure. Experience developing developer tools (e.g., automation, testing, debugging). Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues. About the jobThe High Touch Support team’s focus on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP).In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customers on their production deployments to resolve issues and achieve product readiness and availability. Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis. Act as consultant and subject-matter-expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production. Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Req ID: 133658Region: AmericasCountry: USAState/Province: TexasCity: RichardsonSummaryThis role is primarily responsible for Cloud architecture and design keeping in consideration the security of the environment. It also covers secure deployment of SaaS applications for Celestica. This role reports into the Corporate IT Security leadership and will work within the IT function and the business to ensure that we meet and exceed the security requirements from Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and exceeded.Detailed DescriptionPerforms tasks such as, but not limited to, the following:• Architects, designs multi-cloud environments and oversees its overall security, specifically focusing on Google Cloud Platform (GCP), Microsoft Azure, and Google Workspace.• Leads the product selection process for new cloud security technologies, conducting Proof of Concepts (POCs) and technical evaluations to ensure alignment with business goals.• Develops comprehensive technical project plans and manages the execution of complex cloud security projects from initiation to closure.• Ensures and manages governance and maintenance of the Cloud Security Architecture landscape (applications, systems, etc) and roadmap.• Establishes and maintains effective relationships with process owners/sites to proactively assess business risks and develop risk mitigation.• Evaluates general and specific training needs; delivers training to support the control environment and associated control framework.• Design and implementation of security controls for SaaS solutions to ensure data protection and compliance.• Builds up the governance process for cloud security policies and rules.• Communicates governance and compliance objectives, fosters a compliant and risk aware culture Architects, the enablement of secure cloud AI solutions for the consumption of internal teams, namely Vertex AI and Azure AI Foundry.Knowledge/Skills/Competencies• Must have strong knowledge of Access Management, DLP solution, API connectivity and security in Google cloud and Azure.• Deployment experience of VertexAi and Azure AI Foundry environments and sub-services and experience in security of cloud AI infrastructure.• Understanding of building and securing in-house frontend for Generative AI and building Agentic AI solutions using available open source tools.• Deep understanding of AI vulnerabilities and experience in securing LLM’s within the Cloud environments.• Cloud Security Architecture: Deep expertise in architecting solutions with Google Workspace, Azure, and Google Cloud.• SaaS Security: Strong understanding of securing SaaS solutions and integrating them into the corporate security framework.• Project Management: A good understanding of project management and developing technical project plans.• Product Selection: A good understanding of product selection processes and vendor management. Knowledge and experience in IT Security Best Practices, IT Governance and Audit Procedures. Knowledge of common information security frameworks and IT controls frameworks, such as ISO/IEC 27001, ITIL, COBIT/COSO and ones from NIST.• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate security and risk-related concepts to technical and nontechnical audiences24.• Strong presentation skills for communicating architectural designs to executive leadership.• Leadership skills, ability to motivate people.Physical Demands• Duties of this position are performed in a normal office environment.• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.• Occasional overnight travel is required.Typical Experience•10+ years previous experience in a similar role/industry.•Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.Typical Education• Bachelors Degree.• CISSP, CCSP (Certified Cloud Security Professional), or relevant cloud vendor certifications are a plus.NotesThis job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.COMPANY OVERVIEW:Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.

Req ID: 135257Remote Position: HybridRegion: AmericasCountry: CanadaState/Province: OntarioCity: TorontoSummaryThis role is primarily responsible for Cloud architecture and design keeping in consideration the security of the environment. It also covers secure deployment of SaaS applications for Celestica. This role reports into the Corporate IT Security leadership and will work within the IT function and the business to ensure that we meet and exceed the security requirements from Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and exceeded.Detailed DescriptionPerforms tasks such as, but not limited to, the following:• Architects, designs multi-cloud environments and oversees its overall security, specifically focusing on Google Cloud Platform (GCP), Microsoft Azure, and Google Workspace.• Leads the product selection process for new cloud security technologies, conducting Proof of Concepts (POCs) and technical evaluations to ensure alignment with business goals.• Develops comprehensive technical project plans and manages the execution of complex cloud security projects from initiation to closure.• Ensures and manages governance and maintenance of the Cloud Security Architecture landscape (applications, systems, etc) and roadmap.• Establishes and maintains effective relationships with process owners/sites to proactively assess business risks and develop risk mitigation.• Evaluates general and specific training needs; delivers training to support the control environment and associated control framework.• Design and implementation of security controls for SaaS solutions to ensure data protection and compliance.• Builds up the governance process for cloud security policies and rules.• Communicates governance and compliance objectives, fosters a compliant and risk aware culture Architects, the enablement of secure cloud AI solutions for the consumption of internal teams, namely Vertex Ai and Azure AI Foundry.Knowledge/Skills/Competencies• Must have strong knowledge of Access Management, DLP solution, API connectivity and security in Google cloud and Azure.• Deployment experience of VertexAi and Azure AI Foundry environments and sub-services and experience in security of cloud AI infrastructure .• Understanding of building and securing in-house frontend for Generative AI and building Agentic AI solutions using available open source tools.• Deep understanding of AI vulnerabilities and experience in securing LLM’s within the Cloud environments.• Cloud Security Architecture: Deep expertise in architecting solutions with Google Workspace, Azure, and Google Cloud.• SaaS Security: Strong understanding of securing SaaS solutions and integrating them into the corporate security framework.• Project Management: A good understanding of project management and developing technical project plans.• Product Selection: A good understanding of product selection processes and vendor management. Knowledge and experience in IT Security Best Practices, IT Governance and Audit Procedures. Knowledge of common information security frameworks and IT controls frameworks, such as ISO/IEC 27001, ITIL, COBIT/COSO and ones from NIST.• Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate security and risk-related concepts to technical and nontechnical audiences24.• Strong presentation skills for communicating architectural designs to executive leadership.• Leadership skills, ability to motivate people.Physical Demands• Duties of this position are performed in a normal office environment.• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.• Occasional overnight travel is required.Salary• The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.• The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.• Salary range $132,687 – $182,687 CADTypical Experience•10+ years previous experience in a similar role/industry.•Extensive hands-on experience designing and securing Google Cloud, Azure, and Google Workspace environments.Typical Education• Bachelors Degree.• CISSP, CCSP (Certified Cloud Security Professional), or relevant cloud vendor certifications are a plus.NotesThis job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.COMPANY OVERVIEW:Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.We use artificial intelligence tools to assist in screening and assessing applications for this role. All hiring decisions involve human review.This posting is for an existing vacancy.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！職責 我們正在尋找技術精湛、經驗豐富、具有深厚 MS SQL 背景的 C# 工程師來開發和維護我們的大型事

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:As a core member of our Full-Stack Software Development Team, you will initially take the helm of our critical web development and internal data systems. Our team is currently dedicated to building a modern "AI-Driven Hardware Design Management Platform," but we are on an exciting evolutionary path. Your mission is to fully master our existing web architecture by the end of this year, setting the foundation to pivot with the entire group as we strategically transition into the "Allegro Automation Team" in the new year.Here, you will work closely with cross-disciplinary experts in hardware instrumentation, Python, and layout (Allegro SKILL). This is not just about writing code; it is about reshaping cross-departmental workflows through big data and advanced automation technologies. If you love untangling clear logic from complex data, possess a strong sensitivity to numbers, and enjoy the sense of achievement that comes from driving a team's technical transformation, this role offers an exceptional stage for you to shine!THE PERSON: - Possesses strong "cross-functional translation" skills, capable of accurately grasping the pain points of non-technical units (or hardware engineers) and translating them into clear system development specifications. - Exhibits a high sensitivity to numbers and database logic, with rigorous logical thinking and the patience to organize complex underlying data architectures. - Open-minded, composed, and highly adaptable, demonstrating an accountable attitude when facing new technologies and the team's upcoming strategic transition. - Possesses the trait of "simplifying complexities," enjoying the systemization and automation of complex project workflows, and is passionate about introducing AI tools to optimize development processes.KEY RESPONSIBILITIES: - First 3 months: Quickly familiarize yourself with existing internal web system architectures and data flows, and smoothly take over core frontend and backend maintenance tasks. - By the End of the Year: Fully master the currently developed web systems and internal management platforms. You will independently handle system integrations, ensure data accuracy across cross-system databases, and build Business Intelligence (BI) visual dashboards to provide a solid data foundation for the team. - The New Year: Align with the team's strategic goal to evolve into the "Allegro Automation Team". You will pivot your full-stack and data expertise to support advanced automation initiatives, integrating our web platforms with EDA tools (Allegro) and Python-based instrument controls to achieve fully automated hardware design workflows. - Long-Term: Become the team's primary force in data logic and automation architecture, utilizing process improvement practices (such as PDCA) to continuously refactor systems and seamlessly integrate AI-assisted tools into daily engineering workflows.PREFERRED EXPERIENCE: - Experience in full-stack web development, familiar with modern frontend frameworks (e.g., React) and server-side backend development (Node.js, or Python are all welcome). - Deep hands-on experience with relational databases, proficient in SQL, and capable of independently handling complex cross-system data integration and filtering. - Experience in large-scale cross-functional project management, KPI monitoring, or practical quality improvement methodologies is highly desired. - Familiarity or hands-on experience with integrating AI services (e.g., OpenAI API) into existing development systems.ACADEMIC CREDENTIALS: - Master's degree in Management, Information Management, Data Science, or related fields preferred. - Training certifications or professional technical credentials in full-stack software development, AI applications, or database management desired.#LI-VJ1 Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:We are seeking an experienced and motivated engineer in the semiconductor and advanced packaging industry with expertise in analytics systems. In this role, you will translate a deep understanding of yield issues and complexities arising in heterogeneous integration into effective systems and analytics solutions. These solutions will empower our manufacturing partners to reduce variability and drive higher yields, directly impacting the success of innovative packaging technologies.THE PERSON:The ideal candidate is a dynamic problem solver who thrives in fast-paced, cross-functional environments. They have deep expertise in advanced packaging, a strong grasp of analytics systems, and an exceptional ability to synthesize technical concepts into practical applications for yield improvement. With a commitment to innovation, adaptability, and clear communication, they are equipped to influence and shape the analytics landscape for manufacturing partners. Above all, they are dedicated to advancing yield management and analysis for heterogeneous integration.KEY RESPONSIBILITIES: - Develop, deploy, and maintain advanced analytics frameworks and systems designed for yield analysis and variability reduction in heterogeneous integration and packaging. - Work closely with manufacturing partners to identify key yield issues and deliver actionable analytics solutions. - Design and implement tools and methodologies to manage and analyze advanced packaging yield data. - Act as a technical liaison between manufacturing partners and internal development teams to ensure that systems are functional, efficient, and aligned with strategic goals. - Collaborate with cross-functional teams to improve processes, address gaps, and enhance the robustness of advanced analytics solutions. - Promote innovation by integrating cutting-edge methodologies and solutions for enhanced yield analytics.PREFERRED EXPERIENCE: - In-depth experience with challenges and yield analysis in advanced semiconductor packaging, including 2.5D and 3D heterogeneous integration. - Expertise in analytics systems, data management, and software-driven solutions. - Proven track record of collaboration with manufacturing partners on yield improvement. - Python programming and software engineering experience in web app development. - Strong problem-solving skills and the ability to manage the complexities of heterogeneous integration. - Familiarity with electronic systems and solution implementation in advanced manufacturing. - Experience influencing analytics software vendors roadmap.ACADEMIC CREDENTIALS:Bachelor's or Master's in Electrical Engineering, Chemical Engineering, Mechanical Engineering, Software Engineering, Data Analytics, Computer Science or similar.LOCATION:Hsinchu, Taiwan#LI-SC1#LI-HYBRID Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

HENNGE’s Global Internship Program (GIP) is an on-site software engineering training program designed and run by HENNGE, a cloud security company based in Tokyo. The program is created for students and early-career engineers who want to strengthen their full-stack engineering skills in a global, English-speaking environment at HENNGE’s Shibuya office. This Full-Stack Pathway focuses on hands-on application development training across back-end, front-end, and basic DevOps, using Python (non-ML stack), Go, or TypeScript on the back-end and TypeScript with modern front-end frameworks on the front-end. The program emphasizes fundamental engineering skills, problem-solving, explanation, and collaboration, rather than production work. Japanese is not required. If you are interested in HENNGE’s GIP: Front-End Engineering Pathway instead, please check it out here:https://www.cake.me/companies/hennge/jobs/gip-fullstack What You’ll Learn Practice During the program, you will: Develop full-stack web applications as part of structured training projectsBuild and connect back-end APIs and services with front-end applicationsPractice key full-stack engineering concepts, including:Back-end logic and API designFront-end state management and data flowAuthentication and security basicsSoftware testing (unit, integration, end-to-end)Learn, at a practical level, how front-end, back-end, and cloud infrastructure interactWork with Unix-like environments and basic DevOps toolingExplain your technical decisions, trade-offs, and problem-solving approach during discussions and reviewsReceive feedback from mentors and iteratively improve your implementation Our Stance on AI and Software Engineering AI tools can be helpful, but the goal of HENNGE’s Global Internship Program (GIP) is to help you build strong software engineering fundamentals. To support that learning, we ask you not to use AI tools to generate code for training assignments or solution implementations. The code you submit should be written by you and reflect your own understanding. You may use a designated AI service to support your learning in non-code-generating ways, such as clarifying technical concepts, understanding documentation, or helping with non-essential tasks (for example, command-line options). Throughout the program, you’ll be expected to take ownership of your code and clearly explain your thinking, trade-offs, and design decisions. In this learning environment, you are the engineer and the final gatekeeper of quality. Program Structure Weeks 1-4: Full-Stack Application Development ProjectWeek 5: DevOps Infrastructure Project Internship Details On-site program at HENNGE’s Shibuya office (Mon–Fri, 10:00–19:00 JST)Mentorship and technical discussions with engineers based in the same officeEnglish is the primary language used throughout the program This program is not remote. Participants are expected to attend on-site. Benefits Round-trip airfares from and back to your country of residencePre-arrival support and visa guidanceMedical insurance* and a phone with mobile data will be provided during your internship in Tokyo, Japan**Up to 150,000 JPY of monthly subsidy to cover accommodation, meals, transportation, and networking activitiesSubsidized company events on top of monthly subsidy (Monthly Technical Sessions, Board Game Night, Get-to-know-you Lunches, and many others!) to get to know teams across divisionsAccess to online learning platform during the internship period * Medical insurance will only be provided to interns who do not reside in Japan** This internship is an unpaid training program with a subsidy provided to all interns Internship schedule (as of May 19, 2026) Batch 1 (2027): Jan 18 - Feb 19 (5 weeks) We open batches multiple times a year. For the latestavailable batch information, please visit: https://speakerdeck.com/hennge/global-internship-program-available-internship-schedule