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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Sr. Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, test, deploy, and maintain full-stack applications across front-end UI/UX, API, and backend layers. Design and implement custom AI agents, reusable agent skills, orchestration frameworks, and automation workflows using modern AI technologies such as LLMs, Model Context Protocol (MCP), and MLOps. Translate business and functional requirements into scalable, secure, and maintainable technical solutions. Own the end-to-end software development lifecycle, including design, development, testing, deployment, and support. Apply strong software engineering practices, including modular architecture, object-oriented design, clean code, automated testing, code reviews, documentation, and source control. Fix and resolve application, system, and performance issues to ensure reliability and stability. Collaborate with multi-functional team members to deliver solutions that improve business value. Continuously improving engineering standards, processes, and operational excellence. Contribute to the adoption of innovative solutions, intelligent automation, and modern software architectures. Minimum Qualifications Bachelor's or master’s degree in computer science, software Engineering or a related field; Master preferred. 3+ years building and delivering production web or AI applications end to end. Track record of delivering in complex, cross-functional environments, collaborating across data science, robotics, operations, and infrastructure teams. Proficiency in one or more programming languages such as Go, Python, Rust, or JavaScript. Proficiency with SQL and experience working with relational or non-relational data stores, including but not limited to Snowflake, MSSQL, ORACLE. Hands-on experience with at least one cloud platform (GCP, Azure, or AWS), Docker and Kubernetes, and CI/CD pipeline ownership. Hands-on experience with Docker, Kubernetes, and cloud-native application development. Strong understanding of microservices architecture, REST APIs, performance optimization, observability, and reliability engineering. Preferred Qualifications Experience designing and developing AI agents, including multi-agent collaboration, orchestration frameworks, and integration with LLMs and AI models to solve complex business challenges. Experience designing data ingestion and feature pipelines for AI/ML workloads at scale. Familiarity with agentic architectures, autonomous workflow orchestration, and integration with LLMs and AI models to solve complex business challenges. Understanding of Responsible AI principles, model evaluation, observability, and safe AI deployment practices. What Success Looks Like ML/AI use cases progress efficiently from concept to reliable production deployment. Delivered solutions create measurable improvements in manufacturing productivity, quality, decision-making, or engineering efficiency. AI applications meet agreed standards for security, reliability, maintainability, performance, and responsible use. Reusable engineering patterns and components reduce delivery time and improve consistency across future AI projects. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com . Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Senior Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities, including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, test, deploy, and support full-stack applications across front-end UI/UX, API, and backend layers, taking ownership of the end-to-end software development lifecycle. Design and implement custom AI agents, reusable agent skills, orchestration frameworks, and automation workflows using modern AI technologies such as large language models (LLMs), Model Context Protocol (MCP), and MLOps. Translate business and functional requirements into scalable, secure, and maintainable technical solutions. Apply and continuously improve software engineering standards and practices, including modular architecture, object-oriented design, clean code, automated testing, code reviews, documentation, source control, and operational excellence. Troubleshoot and resolve application, system, and performance issues to ensure reliability and stability. Collaborate with cross-functional teams to deliver solutions that create measurable business value. Contribute to the adoption of innovative solutions, intelligent automation, and modern software architectures. Minimum Qualifications Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field; a master’s degree is preferred. 3+ years of experience building and delivering production web or AI applications end to end. Proven experience delivering solutions in complex, cross-functional environments and collaborating with data science, robotics, operations, and infrastructure teams. Proficiency in one or more programming languages, such as Go, Python, Rust, or JavaScript. Proficiency with SQL and experience working with relational or non-relational data stores, including but not limited to Snowflake, Microsoft SQL Server, and Oracle. Hands-on experience with at least one cloud platform, such as GCP, Azure, or AWS, as well as Docker, Kubernetes, cloud-native application development, and CI/CD pipelines. Strong understanding of microservices architecture, REST APIs, performance optimization, observability, and reliability engineering. Preferred Qualifications Experience designing AI agents, multi-agent collaboration patterns, and autonomous workflow orchestration, including integration with LLMs and other AI models to solve complex business challenges. Experience designing data ingestion and feature pipelines for AI/ML workloads at scale. Understanding of Responsible AI principles, model evaluation, observability, and safe AI deployment practices. Experience in semiconductor manufacturing, smart manufacturing, industrial automation, robotics, or another high-reliability engineering environment. What Success Looks Like ML/AI use cases to progress efficiently from concept to reliable production deployment. Delivered solutions create measurable improvements in manufacturing productivity, quality, decision-making, or engineering efficiency. AI applications meet agreed standards for security, reliability, maintainability, performance, and responsible use. Reusable engineering patterns and components reduce delivery time and improve consistency across future AI projects. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com . Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team contributes to Micron’s growth by advancing total-cost effectiveness, supply-chain resilience, predictive capabilities, risk analysis, sustainability, and supplier diversity. The team provides a skills-based learning environment in which team members can develop capabilities, explore career pathways, and collaborate across a global organization. The intern will undertake a structured procurement transformation project involving data analytics, Artificial Intelligence, and automation. The project will provide practical exposure to procurement systems, supply-chain data, inventory analysis, workflow improvement, and Agentic AI while contributing to improved visibility and decision-making within Front-End Materials Procurement Operations. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement and supply-chain activities. Analyze procurement workflows, data, and inventory indicators to identify risks, trends, and improvement opportunities. Apply Agentic AI, data visualization, or robotic process automation to improve information visibility and process efficiency. Develop procurement, analytical, digital, and cross-functional collaboration capabilities through a defined learning project. Opportunities for Full Time Employment . Interns may be considered for future internship or full-time employment opportunities based on business requirements, available positions, and the applicable recruitment process. Project Scope Procurement systems and analytics: Develop or enhance procurement tools, dashboards, and analytical processes to improve visibility and decision-making. Agentic AI and data insights: Develop an Agentic AI solution to analyze procurement and supply-chain data and identify trends, risks, opportunities, and improvement areas. Process excellence: Review selected workflows with cross-functional stakeholders and design improvements that enhance efficiency, consistency, and transparency. Inventory and supply analysis: Analyze inventory levels, safety stock, material risks, shortages, delivery concerns, and related follow-up information as part of the defined project. Learning Opportunities Gain practical exposure to materials procurement, supply-chain operations, inventory concepts, and supplier-related risk analysis. Learn to translate business requirements and procurement data into dashboards, analytical insights, and process improvements. Develop familiarity with Agentic AI, Artificial Intelligence tools, data visualization, robotic process automation, and AI-Enabled workflows. Collaborate with procurement, supply-chain, engineering, and other cross-functional stakeholders in a global environment. Deliverables A functional tracking and analytics solution that improves visibility of selected procurement strategies, risks, or performance indicators. An Agentic AI, dashboard, or automation prototype addressing a defined procurement operations challenge. A documented review of the selected workflow, including implemented improvements, evaluation results, risks, and recommendations. A final project report and presentation covering the problem statement, methodology, outcomes, business impact, and scaling opportunities. The internal programme identifies project deliverables, final reports, and presentations to department leaders as internship completion elements. Impact of the Project Improve visibility of procurement, inventory, and supply-chain information. Strengthen data-informed identification of material risks, trends, and improvement opportunities. Reduce inefficient or repetitive steps within the selected procurement workflow. Demonstrate a scalable AI-Enabled or automation approach for procurement operations. Skillsets Required Self-motivated, detail-oriented, and comfortable learning in a global, fast-paced, and collaborative environment. Strong analytical, data interpretation, structured problem-solving, and communication skills. Proficiency in Microsoft Excel, Microsoft PowerPoint, and Microsoft Power BI, with an interest in tools such as UiPath, Tableau, Microsoft Power Automate, or other automation platforms. Familiarity with Artificial Intelligence tools, Agentic AI, Generative AI, AI Assistants, data analytics, or AI-Enabled workflows. Course of Interest The ideal candidate should be pursuing a degree in Supply Chain Management, Business, Engineering, Science, Data Analytics, Information Systems, or a related field. Duration of Period The ideal candidate should be able to commit to a full time internship period of five months, from Jan to May 2027 About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior AI Full Stack Engineer, SMAI Our Vision Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. About Our Team The Smart Manufacturing and Artificial Intelligence (SMAI) organization is leading Micron’s AI-first transformation by building intelligent applications, AI-powered platforms, data products, and automation solutions that accelerate innovation across manufacturing, engineering, and business operations. We are looking for an experienced and highly motivated Senior AI Full Stack Engineer who combines strong software engineering expertise with practical experience in Artificial Intelligence, cloud-native application development, data integration, and enterprise solution delivery. In this role, you will work with engineers, data scientists, architects, product owners, and business stakeholders to design and deliver secure, scalable, and production-ready AI solutions that create measurable business value across Micron. Position Overview As a Senior AI Full Stack Engineer, you will lead the architecture, design, development, deployment, and operationalization of enterprise-grade AI-powered applications. You will combine deep software engineering expertise with hands-on experience in Generative AI, Agentic AI, cloud-native engineering, data platforms, APIs, and modern user experiences. You will independently own complex technical outcomes, influence architecture decisions, guide engineering practices, mentor junior engineers, and collaborate with cross-functional teams to deliver reliable and maintainable solutions. You will build enterprise-grade backend services and APIs using C# and .NET with ASP.NET Core, develop modern frontend applications, and integrate technologies such as Large Language Models, AI agents, Retrieval-Augmented Generation, Model Context Protocol, enterprise data platforms, and cloud services. You will also establish engineering practices that improve software quality, security, reliability, observability, development velocity, and production support readiness. Key Responsibilities Solution Architecture and Technical Ownership Lead the end-to-end architecture, design, development, testing, deployment, and support of full-stack and AI-powered applications. Translate complex business requirements and non-functional requirements into scalable solution architectures, technical designs, and executable delivery plans. Own complex features, services, and platforms from initial design through production deployment and ongoing support. Evaluate technical alternatives and make balanced architecture decisions considering scalability, reliability, security, cost, maintainability, and delivery timelines. Create and maintain solution architecture documents, technical specifications, API contracts, data flows, and architecture decision records. Identify technical risks, dependencies, assumptions, and constraints early in the development lifecycle. Drive technical alignment across engineering, architecture, data science, platform, security, and product teams. Full-Stack Application Development Design and develop secure, scalable, and maintainable backend services using C#, .NET, ASP.NET Core, and RESTful APIs. Apply object-oriented design, dependency injection, asynchronous programming, domain-driven design, and clean architecture principles where appropriate. Develop responsive, accessible, and reusable frontend components using frameworks such as Angular, React, Blazor, or Vue.js. Design and implement reusable APIs, microservices, event-driven services, and enterprise integration components. Implement secure authentication and authorization patterns for frontend, backend, API, and service-to-service communication. Optimize application performance, API responsiveness, database access, and resource utilization. Create reusable libraries, frameworks, templates, and engineering accelerators that improve development consistency and productivity. Integrate enterprise systems, data platforms, cloud services, third-party services, and manufacturing applications. Generative AI and Agentic AI Engineering Design and implement applications that integrate Large Language Models and Generative AI capabilities. Build enterprise solutions using technologies such as Azure OpenAI, Microsoft Semantic Kernel, Microsoft Copilot, or equivalent AI platforms. Develop Retrieval-Augmented Generation solutions that combine LLMs with enterprise knowledge and data sources. Design document ingestion and retrieval pipelines, including document parsing, chunking, metadata extraction, embeddings, vector indexing, semantic search, reranking, and grounded response generation. Develop prompt templates, system instructions, tool definitions, function-calling integrations, and structured response mechanisms. Build AI agents and copilots that securely interact with enterprise APIs, tools, workflows, databases, and applications. Implement Model Context Protocol or similar integration patterns that enable governed connectivity between AI agents, enterprise tools, and data sources. Design agentic workflows covering planning, tool selection, task execution, validation, exception handling, and human review. Implement AI evaluation approaches for response quality, relevance, groundedness, accuracy, safety, latency, and cost. Establish prompt, model, configuration, and evaluation versioning practices. Develop safeguards against prompt injection, unauthorized tool access, sensitive-data exposure, hallucination, and unsafe model behavior. Apply appropriate human-in-the-loop controls for high-impact or sensitive AI use cases. Evaluate emerging AI frameworks, models, and tools through structured prototypes and technical assessments. Data Engineering and Integration Design and integrate relational, non-relational, analytical, streaming, and vector data sources. Develop reliable data pipelines that support AI applications, analytical workloads, and enterprise integrations. Apply strong SQL and data-modeling practices to support application and AI use cases. Integrate databases such as Microsoft SQL Server, PostgreSQL, and other enterprise data platforms. Work with non-relational databases, document stores, cache technologies, vector databases, and cloud-managed data services. Define and enforce data contracts, validation rules, lineage expectations, and data-quality controls. Optimize data access patterns, queries, indexes, caching approaches, and retrieval performance. Collaborate with data engineers and data scientists to operationalize data and model workflows. Ensure appropriate access controls, data classification, retention, privacy, and governance requirements are incorporated into solution designs. Cloud-Native and Platform Engineering Design and deploy enterprise applications on Azure, GCP, AWS, OpenShift, Kubernetes, or equivalent cloud and container platforms. Build containerized applications using Docker and deploy them through Kubernetes or OpenShift. Design applications for scalability, resiliency, availability, recoverability, and efficient resource utilization. Use managed cloud services where appropriate for application hosting, AI integration, messaging, data processing, storage, monitoring, and security. Configure application environments, secrets, certificates, identity access, network connectivity, and runtime settings. Contribute to infrastructure-as-code and configuration-management practices. Partner with platform, cloud, infrastructure, and security teams to ensure solutions comply with enterprise architecture and operational standards. Analyze application usage and cloud-resource consumption to identify performance and cost-optimization opportunities. DevOps and Engineering Excellence Design and maintain continuous integration and continuous deployment pipelines using Azure DevOps, GitHub Actions, or equivalent tools. Establish automated validation for builds, tests, security checks, dependency scanning, code quality, and deployment readiness. Implement automated unit, integration, API, contract, performance, and end-to-end testing. Define and enforce coding standards, branching strategies, pull-request practices, versioning approaches, and release controls. Conduct detailed code reviews and provide constructive technical feedback. Establish reusable engineering patterns, reference implementations, development templates, and quality gates. Use AI-assisted engineering tools such as GitHub Copilot responsibly for coding, testing, documentation, and productivity improvement. Ensure AI-generated code is reviewed, validated, tested, and compliant with security and intellectual-property requirements. Continuously improve engineering processes, automation, developer experience, and delivery efficiency. Security and Responsible AI Apply security-by-design principles throughout the software and AI development lifecycle. Implement authentication, authorization, role-based access control, secrets management, encryption, and secure service communication. Follow secure coding practices to reduce vulnerabilities in applications, APIs, dependencies, containers, and cloud configurations. Perform threat analysis for AI applications, agent tools, APIs, data flows, and enterprise integrations. Implement access restrictions and allowlists that prevent AI agents from using unauthorized tools or data sources. Design controls for sensitive-data handling, privacy, content safety, auditability, and regulatory compliance. Implement logging and traceability for agent actions, tool calls, data retrieval, user interactions, and model responses. Apply responsible AI principles including fairness, transparency, safety, privacy, accountability, and human oversight. Collaborate with cybersecurity, privacy, legal, compliance, and architecture teams when delivering sensitive or high-impact solutions. Reliability and Production Operations Own production readiness, release planning, deployment validation, and operational handover. Implement structured logging, metrics, distributed tracing, dashboards, alerts, and health checks. Define service-level indicators and operational thresholds appropriate to the application. Design applications with timeout, retry, circuit-breaker, rate-limiting, graceful-degradation, and failure-recovery mechanisms. Monitor application reliability, AI response quality, latency, throughput, token consumption, infrastructure usage, and operating costs. Troubleshoot complex issues across frontend, backend, API, database, AI, network, and cloud layers. Participate in incident response, root-cause analysis, corrective actions, and preventive improvements. Develop operational documentation, troubleshooting guides, support procedures, and recovery instructions. Use production insights and user feedback to drive continuous product and platform improvements. Collaboration and Technical Leadership Partner with product owners and business stakeholders to understand problems, define outcomes, and refine requirements. Communicate architecture decisions, technical trade-offs, risks, dependencies, and delivery status clearly. Facilitate technical discussions, design reviews, code reviews, and problem-solving sessions. Mentor associate and mid-level engineers through technical guidance, pair programming, knowledge sharing, and constructive feedback. Help engineers improve their software-design, development, testing, debugging, and operational-support capabilities. Promote engineering consistency, documentation, reuse, automation, and continuous learning. Influence technical direction and engineering standards across teams without relying solely on formal authority. Collaborate effectively with globally distributed and cross-functional teams. Contribute to architecture communities, engineering forums, technical demonstrations, and internal knowledge-sharing initiatives. Minimum Qualifications Bachelor’s or Master’s degree in one of the following areas: Computer Science Information Technology Artificial Intelligence Data Science Software Engineering Computer Engineering A related technical discipline Five or more years of professional software engineering experience. Demonstrated experience delivering production-grade enterprise applications. Experience owning complex features, services, or applications from design through production support. Strong problem-solving, debugging, and analytical capabilities. Strong written and verbal communication skills. Ability to explain technical architecture, risks, and trade-offs to technical and non-technical stakeholders. Demonstrated ability to work independently while collaborating effectively within cross-functional teams. Required Technical Expertise Software Engineering Advanced proficiency in C# and .NET or ASP.NET Core. Strong knowledge of object-oriented programming and software-design principles. Experience with RESTful APIs, microservices, dependency injection, asynchronous programming, and background services. Strong understanding of data structures, algorithms, design patterns, and application architecture. Experience building secure, scalable, testable, and maintainable enterprise software. Experience with unit testing, integration testing, mocking frameworks, and automated quality validation. Ability to diagnose and resolve complex application and performance problems. Full-Stack Development Production experience with at least one modern frontend framework, such as: Angular React Blazor Vue.js Strong understanding of HTML, CSS, TypeScript, JavaScript, web security, and client-server architecture. Experience integrating frontend applications with REST APIs and enterprise authentication systems. Understanding of responsive design, accessibility, performance optimization, and reusable component development. AI Engineering Hands-on experience integrating AI or machine-learning capabilities into enterprise applications. Practical understanding of: Large Language Models Prompt engineering Retrieval-Augmented Generation Embeddings Vector search AI agents Tool and function calling Structured model outputs AI evaluation Responsible AI Experience designing grounded AI solutions using enterprise documents and data. Understanding of common LLM application risks, including hallucination, prompt injection, unauthorized data access, and sensitive-data exposure. Ability to evaluate AI solutions based on accuracy, relevance, groundedness, latency, cost, safety, and maintainability. Data Platforms Strong SQL development and query-optimization skills. Experience with relational databases such as: Microsoft SQL Server PostgreSQL Equivalent enterprise relational databases Working knowledge of non-relational databases, document stores, caching platforms, or vector databases. Understanding of data modeling, schema design, indexing, data quality, and data-integration patterns. Experience consuming or developing data pipelines that support enterprise applications and AI workloads. Cloud and Containers Experience developing and deploying cloud-native solutions on Azure, GCP, AWS, or an equivalent enterprise cloud platform. Experience with Docker and containerized application development. Experience deploying or supporting applications on Kubernetes or OpenShift. Understanding of cloud identity, network connectivity, configuration, storage, secrets, managed services, and application hosting. Experience designing applications for scalability, reliability, availability, and recoverability. DevOps and Software Quality Strong experience with Git and collaborative software-development workflows. Experience with pull requests, branching strategies, release management, and version control. Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools. Experience integrating automated testing, code-quality validation, security scanning, and deployment controls into delivery pipelines. Understanding of software-development lifecycle and Agile delivery practices. Production Operations Experience with application logging, metrics, dashboards, alerting, and distributed tracing. Experience troubleshooting production applications across multiple technical layers. Understanding of resiliency patterns, fault tolerance, retries, timeouts, circuit breakers, and graceful degradation. Experience participating in operational support, incident response, and root-cause analysis. Ability to use operational data to improve application reliability, performance, and user experience. Security Practical knowledge of authentication, authorization, role-based access control, and secure API development. Experience with enterprise identity providers, OAuth, OpenID Connect, tokens, certificates, or equivalent authentication mechanisms. Understanding of secure secrets management, encryption, data protection, and dependency risk. Familiarity with secure software-development practices and common application-security vulnerabilities. Understanding of privacy, data-governance, and responsible-AI considerations for enterprise applications. Preferred Qualifications Experience with the Microsoft Azure ecosystem, including one or more of the following: Azure OpenAI Azure AI Search Azure App Service Azure Functions Azure API Management Azure DevOps Microsoft Semantic Kernel Microsoft Copilot technologies Experience designing or delivering Agentic AI applications. Experience implementing Model Context Protocol integrations or similar tool-integration frameworks. Experience with multi-agent orchestration, enterprise copilots, workflow automation, or human-in-the-loop AI systems. Proficiency in Python and commonly used AI or data libraries. Experience with Java, Scala, PySpark, or distributed data-processing technologies. Experience with vector databases, knowledge graphs, event-driven architectures, message brokers, or stream-processing platforms. Experience with infrastructure as code and automated environment provisioning. Experience with Kubernetes operators, service meshes, platform engineering, or internal developer platforms. Knowledge of MLOps or LLMOps practices. Experience with model, prompt, configuration, dataset, and evaluation versioning. Experience implementing AI-quality monitoring and production evaluation pipelines. Experience with computer vision, image analytics, video analytics, or industrial AI solutions. Understanding of semiconductor manufacturing, smart manufacturing, industrial systems, factory automation, or high-volume operational environments. Contributions to reusable technical platforms, engineering standards, architecture communities, developer tooling, or open-source projects. Senior-Level Competencies Technical Ownership Independently drives complex and ambiguous work across multiple technical components. Takes accountability for technical quality, delivery, operational readiness, and production outcomes. Identifies technical risks and dependencies before they become delivery issues. Follows through on commitments and ensures solutions remain maintainable after deployment. Architecture Judgment Makes informed decisions across scalability, security, reliability, cost, maintainability, and delivery speed. Selects technologies based on business needs and engineering evidence rather than technology trends alone. Recognizes when to build custom capabilities and when to use existing enterprise or managed services. Documents key decisions and communicates the rationale and...

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s Module Development Engineering team is responsible for the design, development, validation, and characterization of next-generation DRAM memory module products. The team works closely with design, simulation, software, manufacturing, and component engineering organizations to ensure products meet performance, reliability, quality, and customer requirements. Through comprehensive engineering analysis and validation, the team helps drive successful product development from concept through production. As a Module Hardware Validation Engineer, you will perform design and development engineering assignments related to hardware products and systems, including new product development and enhancements to existing products. You will validate DRAM module PCBAs, evaluate active component and system performance, develop test methods and automation tools, and support hardware design verification activities. This role combines hardware characterization, failure analysis, software development, and project execution to ensure high-quality memory solutions. You will also apply Artificial Intelligence (AI) and AI-Assisted tools to improve efficiency, automate workflows, and enhance data analysis across validation activities. Responsibilities Perform design, development, validation, and characterization of DRAM memory modules and related hardware systems, including evaluation of signal integrity, power integrity, and overall module performance using laboratory equipment, test platforms, and PC systems. Develop, execute, and improve test methods, validation plans, project schedules, and engineering processes to verify hardware designs, identify design weaknesses, conduct failure analysis, and ensure successful product qualification. Characterize and benchmark active components, including power management integrated circuits (PMICs), register clock drivers (RCDs), switching regulators, thermal sensors, and other critical devices, while collaborating with simulation engineers to correlate measurement results with design simulations. Develop and modify software tools, automation solutions, and Jira-based tracking systems to support validation activities, compare product generation performance, organize engineering data, and improve reporting efficiency. Apply Artificial Intelligence (AI), Generative AI, and AI-Assisted engineering tools to enhance validation workflows, automate data analysis, improve reporting accuracy, and increase the robustness and efficiency of hardware validation processes. Minimum Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related engineering discipline. 3+ years of experience in hardware design, hardware validation, electrical characterization, board-level debugging, or system-level hardware testing. Hands-on experience using oscilloscopes, logic analyzers, power analyzers, or similar laboratory instrumentation for hardware evaluation and debugging. Experience developing test methods, executing validation plans, documenting engineering results, and supporting product development activities. Programming or scripting experience in Python, C/C++, or similar languages for automation, data analysis, or software tool development. Preferred Qualifications Experience with DRAM memory technologies, memory modules, high-speed digital interfaces, or PCBA design and validation. Knowledge of signal integrity, power integrity, power delivery systems, PMICs, RCDs, switching regulators, thermal sensors, and related hardware characterization techniques. Experience developing automated test frameworks, engineering dashboards, Jira workflows, or data management tools for validation organizations. Experience establishing and conducting testing routines, developing project plans, budgets, schedules, and documenting engineering work and results. Experience applying Artificial Intelligence (AI), Generative AI, AI-Assisted tools, or AI-Enabled engineering solutions to improve productivity, automation, data analysis, and engineering decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Equipment Engineering Manager in the Process and Equipment Engineering team at Micron Technology, Inc., you will build a best-in-class team to drive manufacturing capability in a TD + HVM environment and to scale in the newest Memory Fab in the United States! You will implement this by focusing on manufacturing performance optimization, ensuring priorities are aligned to Micron business plan and/or Strategic Objective requirements across manufacturing sites. Your objective is to use global internal and external resources to define and enable equipment, yield, and output performance to achieve world-class manufacturing results. This role involves establishing a proficient team of equipment engineers, recruiting and training shift technicians and engineers alongside the Manufacturing Engineering team, and jointly setting performance targets. This position requires collaborating with Technology Development, Process & Equipment Engineering, Manufacturing Engineering, Facilities as well as our global network of manufacturing sites. You must support effective collaboration across all geographies and departments, and external suppliers as well as international travel, as required. Responsibilities: Lead an engineering team to achieve area goals, including improving equipment performance and installing new tools for a new fab Develop the team’s strategic direction, allocate resources effectively, and maintain succession plans for key positions Drive fab optimization to maximize output and yield, reduce operating costs, and maintain high quality standards Support new tool installations and existing tool modifications, relocations, and removals while applying global best-known methods Champion safety, People policies, cross-functional collaboration, and clear communication with team members, executives, and technical authorities Good understanding of Agentic AI or willingness to learn Agentic AI to help developed efficient workflow. Minimum Qualifications: 5+ years of semiconductor equipment experience in leadership and team management. Bachelors or higher in a science-related field or equivalent Solid understanding of manufacturing team structure, standards, and processes Coaching and mentoring team members supporting their career development Proven success in leading teams and defining and solving complicated problems Preferred Qualifications: Proficient in data analysis, problem solving, and fixing skills Solicit feedback, accept input, and analyze success/failure Identify, understand, and mitigate risk before making critical decisions Set and measure short and long-range goals for your team. Proven track record leading multiple sophisticated projects Communicate and present technical information optimally Strong organizational and prioritization skills See more about Boise living How Micron engineers pave the way for semiconductors As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team contributes to Micron’s growth by advancing total-cost effectiveness, supply-chain resilience, predictive capabilities, risk analysis, sustainability, and supplier diversity. The team provides a skills-based learning environment in which team members can develop capabilities, explore career pathways, and collaborate across a global organization. The intern will undertake a structured procurement transformation project involving data analytics, Artificial Intelligence, and automation. The project will provide practical exposure to procurement systems, supply-chain data, inventory analysis, workflow improvement, and Agentic AI while contributing to improved visibility and decision-making within Front-End Materials Procurement Operations. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement and supply-chain activities. Analyze procurement workflows, data, and inventory indicators to identify risks, trends, and improvement opportunities. Apply Agentic AI, data visualization, or robotic process automation to improve information visibility and process efficiency. Develop procurement, analytical, digital, and cross-functional collaboration capabilities through a defined learning project. Opportunities for Full Time Employment . Interns may be considered for future internship or full-time employment opportunities based on business requirements, available positions, and the applicable recruitment process. Project Scope Procurement systems and analytics: Develop or enhance procurement tools, dashboards, and analytical processes to improve visibility and decision-making. Agentic AI and data insights: Develop an Agentic AI solution to analyze procurement and supply-chain data and identify trends, risks, opportunities, and improvement areas. Process excellence: Review selected workflows with cross-functional stakeholders and design improvements that enhance efficiency, consistency, and transparency. Inventory and supply analysis: Analyze inventory levels, safety stock, material risks, shortages, delivery concerns, and related follow-up information as part of the defined project. Learning Opportunities Gain practical exposure to materials procurement, supply-chain operations, inventory concepts, and supplier-related risk analysis. Learn to translate business requirements and procurement data into dashboards, analytical insights, and process improvements. Develop familiarity with Agentic AI, Artificial Intelligence tools, data visualization, robotic process automation, and AI-Enabled workflows. Collaborate with procurement, supply-chain, engineering, and other cross-functional stakeholders in a global environment. Deliverables A functional tracking and analytics solution that improves visibility of selected procurement strategies, risks, or performance indicators. An Agentic AI, dashboard, or automation prototype addressing a defined procurement operations challenge. A documented review of the selected workflow, including implemented improvements, evaluation results, risks, and recommendations. A final project report and presentation covering the problem statement, methodology, outcomes, business impact, and scaling opportunities. The internal programme identifies project deliverables, final reports, and presentations to department leaders as internship completion elements. Impact of the Project Improve visibility of procurement, inventory, and supply-chain information. Strengthen data-informed identification of material risks, trends, and improvement opportunities. Reduce inefficient or repetitive steps within the selected procurement workflow. Demonstrate a scalable AI-Enabled or automation approach for procurement operations. Skillsets Required Self-motivated, detail-oriented, and comfortable learning in a global, fast-paced, and collaborative environment. Strong analytical, data interpretation, structured problem-solving, and communication skills. Proficiency in Microsoft Excel, Microsoft PowerPoint, and Microsoft Power BI, with an interest in tools such as UiPath, Tableau, Microsoft Power Automate, or other automation platforms. Familiarity with Artificial Intelligence tools, Agentic AI, Generative AI, AI Assistants, data analytics, or AI-Enabled workflows. Course of Interest The ideal candidate should be pursuing a degree in Supply Chain Management, Business, Engineering, Science, Data Analytics, Information Systems, or a related field. Duration of Period The ideal candidate should be able to commit to a full time internship period of five months, from Jan to May 2027 About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Platform Engineer An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners. Responsibilities: Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions. Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities. Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform). Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams. Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments. Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability. Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions. Implement and maintain security controls, including RBAC and industry-standard frameworks, to protect intellectual property and sensitive data. Minimum Qualifications: Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related technical field, with 2–4 years of Platform Administration and/or Cloud Engineering experience. Hands-on experience with Apache Kafka and Kubernetes, including administration, deployment, scaling, monitoring, and resolving challenges in production environments. Experience administering public cloud platforms and implementing Infrastructure as Code (IaC) using Terraform. Familiarity with Machine Learning, Data Science, Generative AI, and Agentic AI concepts, including supporting AI/ML platform workloads. Strong collaboration, communication, documentation, and problem-solving skills, with a continuous learning approach and the ability to independently deliver technical projects. Preferred Qualifications: Strong foundation or administration of Unix. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.