Solution Architect Sbs Jobs

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 Project Title Procurement Analytics and Supplier Performance Improvement Project Description The intern will undertake a structured project within the Global Procurement team, gaining practical exposure to strategic sourcing, supplier management, procurement analytics, and business process improvement. Working under the guidance of experienced procurement professionals, the intern will examine procurement and supplier data, conduct market and supplier research, and develop analytical outputs that inform sourcing and category-management decisions. The project will provide opportunities to collaborate with stakeholders from Facilities, Engineering, Finance, Operations, and Global Procurement. The intern will also gain an understanding of procurement governance, supplier evaluation, cost analysis, and digital ways of working in a global business environment. Objective of the Project Develop an understanding of strategic sourcing, supplier management, and procurement governance. Apply analytical techniques to procurement, spend, cost, and supplier-performance data. Identify insights and improvement opportunities th

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 MSB, Singapore (990 Bendemeer Road, Singapore 339942) Department New Product Manufacturing Project Title AI-Enabled Manufacturing Analytics and Productivity Automation Project Description The intern will undertake a structured project that applies Artificial Intelligence, Generative AI, data analytics, and automation technologies to selected opportunities within New Product Manufacturing. Under the guidance of experienced engineers and business stakeholders, the intern will evaluate defined processes where AI-Enabled solutions may reduce manual effort, improve data visibility, automate reporting, and generate actionable insights from manufacturing and operational data. The project may involve automated work-in-process reporting, lot-prioritization analysis, intelligent dashboards, or productivity automation. The intern will gain practical experience using approved tools such as Microsoft Copilot, Power BI, Power Automate, Power Apps, SharePoint, Python, and Structured Query Language. Objective of the Project Develop an understanding of New Product Manufacturing processes, data sources, and operational challenges. Identify a defined opportunity where AI, Generative AI, data analytics

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 F10 site, 1 North Coast Drive, Singapore 757432 Department Process Engineering Project Title PSK Thermal Optimization for Advanced Semiconductor Manufacturing Project Description The intern will undertake a structured Process Engineering project focused on wafer thermal management and plasma strip process optimization. Under the guidance of experienced engineers, the intern will investigate the impact of chuck temperature on wafer thermal behaviour, film properties, and process performance. The project will involve experimentation, Design of Experiments, statistical analysis, process modelling, and data visualization. The intern will also gain exposure to AI-Enabled data exploration and predictive analytics for identifying process relationships and optimization opportunities. Through this project, the intern will develop practical knowledge of semiconductor manufacturing while contributing data-based recommendations for improving process robustness, yield, productivity, and cost performance. Objective of the Project Develop an understanding of wafer thermal management and plasma strip processing in semiconductor manufacturing. Characterize the relationshi

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 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, Project Title NAND Silicon Design Validation and Automated Data Analysis Project Description The intern will undertake a structured engineering project focused on the silicon design validation of advanced NAND products. Under the guidance of experienced engineers, the intern will develop an understanding of NAND operations, Verilog simulation, validation planning, laboratory measurement techniques, and silicon validation data analysis. The intern will gain practical exposure to testers, oscilloscopes, probe stations, scripting tools, and approved in-house engineering software. The project will also provide opportunities to explore Artificial Intelligence and Machine Learning-enabled workflows for validation data collection, report generation, and anomaly detection. The intern’s activities will be limited to the assigned project and conducted with appropriate supervision. Objective of the Project Develop an understanding of NAND operations and silicon design validation methodologies. Apply circuit and feature knowledge to develop a structured validation plan. Collect an

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. Department ADTS ATI PI Project Title Faster Cell Metrics Drift Detection Using Advanced Data Analytics Project Description The intern will undertake a structured engineering project to develop data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data. Under the guidance of experienced engineers, the intern will analyze relationships among inline, probe, cell metric, and quality data. The intern will gain exposure to industrial data analytics, statistical analysis, detection modelling, and visualization techniques used in semiconductor manufacturing. The project may also involve AI-Enabled workflows for data exploration, pattern identification, and analytical productivity. Project activities will focus on defined analytical assignments and measurable learning outcomes. Objective of the Project Develop an understanding of cell metrics and their relationship with semiconductor manufacturing and product-quality data. Analyze manufacturing data to identify early indicators of cell metric drift. Develop a detection methodology for monitoring selected cell metrics and potential quality excursions. Communicate a

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 1 Woodlands Industrial Park D, Street 1, Singapore Department Dry Etch Manufacturing Project Title Predictive Modelling of Dry Etch Equipment Consumable-Part Lifetime for Cost and Productivity Improvement Project Description The intern will undertake a structured engineering project focused on identifying key consumable parts in Dry Etch equipment and studying the process and equipment parameters that influence their useful lifetime. Under the guidance of experienced engineers, the intern will analyze equipment, process, maintenance, and consumables-related data to develop a predictive analysis model for estimating part lifetime. The project aims to improve consumable utilization and cost efficiency while maintaining safety, product quality, equipment performance, and manufacturing yield. The project will provide exposure to Dry Etch equipment, lean manufacturing, cost management, data analytics, predictive modelling, dashboard development, and AI-Enabled engineering workflows. Objective of the Project Develop an understanding of Dry Etch equipment functions, processes, and key consumable parts. Identify equipment and process parameters that influence consumable-part lifetime

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. About the Role Join Micron’s Advanced NAND Technology (ANT) Singapore team to drive the future NAND technology roadmap through advanced pathfinding and integration. In this role, you will work in a cutting-edge R&D environment, developing next-generation memory technologies by bridging device concepts, materials, and process integration into manufacturable solutions. You will leverage AI-enabled data analytics and model-driven methodologies to analyze complex datasets, accelerate learning cycles, and solve critical scaling challenges, directly impacting future memory nodes. Key Responsibilities Drive 3D NAND integration and technology roadmap , leading pathfinding and advanced architecture enablement. Lead end-to-end development (conception → technology validation) including learning vehicles, characterization, and debug. Solve complex integration challenges using data-driven, AI-assisted, and model-based approaches , identifying critical technology gaps and enabling solutions. Define and optimize module/process architecture (electrical targets, process flows, design rules) to

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 NAND Product Engineering Project Title NAND Product Validation, Characterization, and Electrical Failure Analysis Project Description The intern will undertake a structured engineering project focused on NAND product validation, characterization, and electrical failure analysis. Under the guidance of experienced product engineers, the intern will gain practical exposure to NAND device physics, product specifications, validation methodologies, and semiconductor test equipment. The project will include hands-on bench testing, analysis of electrical test results, and evaluation of selected product changes or failure cases. The intern will collaborate with engineers from Product Engineering and relevant cross-functional teams to understand how technical evidence is used to investigate NAND-related issues and improve product quality. Objective of the Project Develop foundational knowledge of NAND device physics, product specifications, and validation methodologies. Apply semiconductor and microelectronics concepts through structured bench experiments and data analysis. Build practical experience in NAND characterization, electrical fa

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. Responsibilities and Tasks Consolidate and validate loading, capacity, headcount, budget, cost and qualification readiness data from multiple sites and systems. Analyze utilization and identify bottlenecks, data gaps, trends, plan-versus-actual variances, and execution risks. Maintain and continuously improve planning dashboards, systems, reports, analytical models, assumptions, and readiness trackers. Independently lead global stakeholder meetings and drive alignment toward shared goals. Investigate and resolve non-routine issues, assess business impact and risks, recommend practical actions, and follow through to closure. Build repeatable, reliable workflows using AI or automation tools such as Power BI, Tableau, Power Automate, Python, SQL, VBA, Copilot, Claude, or other LLMs. Document standard workflows, share best practices, and mentor team members on established planning tools and methods. Qualification: Bachelor’s degree in Engineering, Industrial Engineering, Information Systems, Operations Management, Data Analytics, or a related field, or equivalent practical experience. At least 2 years of relevant experience in semiconductor or quality operations, with hands-on experience in capacity planning, report automation, data analytics, or process improvement. Proficiency in two or more relevant tools, such as Power BI, Tableau, Power Automate, UiPath, Python, SQL, VBA, Copilot, Claude, or other LLMs. <l

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. As a Senior AI Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization within focus on FE Procurement. The team defines, drives, and delivers end-to-end AI and agentic solutions across procurement and adjacent functions. You will own the delivery of assigned AI products, applying industry-leading methodologies in data science, automation, AI, and agentic systems to enhance Micron's procurement, planning, and business processes. In this role, you will work with an internal team of Data Scientists and Data Engineers and engage functional stakeholders and users in the design, analysis, and implementation of AI solutions. You will own the product backlog for your assigned use cases, translate business needs into requirements, and drive solutions from concept through delivery and adoption. You will work closely with key stakeholders across FE Procurement to ensure positive impact and sustainable results from the Smart Manufacturing and AI solutions. Responsibilities and Tasks Own the product backlog for assigned AI and agentic use cases: capture and refine requirements, write clear user stories and acceptance criteria, and prioritize work. Work with users to capture and analyze information related

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 Principal Layout Designer (10&#43; years of experience in layout) You must have the ability to understand design constraints and implement high-quality layouts. You must be proficient using Cadence VXL on periphery blocks. You must have strong debug and problem-solving skills for LVS, DRC & Layout issues. You must have hands-on experience in creating layout of critical Core/Pitch blocks such as Array, Row decoder & Column Decoder. You must have good understanding of Core/Pitch Layout fundamentals such as BL & WL pitch, and a feasibility acumen for developing WL & BL drivers & pre-drivers. You must have good experience of Chip Level Integration and Die Size calculations. You must have a good understanding of the Design rules and deliver with quality layout. You must deliver major level blocks, including signal and floorplan, to the Core/Pitch and Periphery area. You will work with Design and other engineering groups to apply multiple layout techniques for the design and verification of Array, Digital and Analog circuits. You must execute secondary layout tasks such as ECO, LCO and DFM. You will be responsible for coordinating with TD, Design, CAD and layout teams to deliver on schedule with quality. You must demonstrate a strong ability to debug problems, find effective solutions, and negotiate with the engineering staff. You will be required to meet all engineering and process related criteria needed for

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 HVM Engineering Process and Equipment Engineering Project Title Superior Copper Sputter Enablement on HBM Metallization Project Description With increasingly advanced technology scaling and higher performance requirements, the metallization process requires continuous innovation to meet stringent electrical, reliability, and manufacturability targets. To support future product roadmaps and capacity expansion, there is a need to enable advanced copper deposition capability as an improved manufacturing platform for metallization. This effort requires comprehensive process development, hardware qualification, integration assessment, and defectivity optimization to achieve process equivalency while maintaining yield, reliability, and cost competitiveness. The project will leverage Artificial Intelligence (AI), Micron manufacturing systems, and advanced data analytics to perform extensive characterization, validation, and predictive insights across process conditions. The intern will work closely with engineering teams to evaluate process performance, identify optimization opportunities, and develop data-driven solutions that improve manufacturing robustness and readiness for h

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 MSB, Singapore (990 Bendemeer Road) Department MSBH Facilities Project Title AI-Powered Sustainability Command Center Project Description The intern will undertake a structured engineering project focused on developing an AI-Powered Sustainability Command Center for selected energy, water, utility, cost, and carbon datasets. Under the guidance of experienced engineering and digital professionals, the intern will assess existing data sources and reporting processes, develop a structured and reliable data model, and create an interactive dashboard for sustainability performance monitoring. The project will also explore analytics, Artificial Intelligence, Generative AI, and automation methods for anomaly detection, insight generation, opportunity prioritization, and reporting. AI-generated outputs will remain traceable to source data and subject to appropriate engineering validation. Objective of the Project Consolidate agreed sustainability and utility datasets into a structured and reliable data model. Develop an interactive command-center dashboard for operational and management visibility. Apply rule-based analytics or AI-Assisted methods to identify anomalies

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 990 Bendemeer Road, Singapore 339942 Department Storage Technology and Products Group Product Engineering, Business Operations Project Title Artificial Intelligence Data Harness for End-to-End Ramp Intelligence and Business Operations Planning Project Description The Storage Technology and Products Group Product Engineering organization is at the forefront of developing Micron’s storage technologies and products. The Business Operations team drives strategic planning and operational excellence across key domains, including research and development cost management, operational expense planning, workforce management, metrics governance, and capital expenditure optimization. Under the guidance of experienced team members, the selected intern will contribute to a structured project to develop an Artificial Intelligence-enabled data harness platform. The platform will integrate relevant business-planning data and enable intelligent decision support for quarterly planning activities. This project offers an opportunity to apply Artificial Intelligence, data engineering, and business analytics to defined business-planning challenges within a global semiconductor research and development environment.<br

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. The Package Health Analyst will contribute to the development and execution of package health monitoring, simulation, and characterization activities. This role involves hands-on engineering work in DFT, data analysis, and reliability testing to ensure robust packaging solutions Key Responsibilities Package Health Metrics & Monitoring Define quantitative package health metrics Develop detection mechanisms and monitoring dashboards for continuous health assessment. Perform electrical and mechanical characterization of packages. Inline Defect Characterization Implement real-time defect detection and classification (critical vs. non-critical). Conduct next-level characterization for critical defects and integrate findings into predictive models. Advanced Analytics & Knowledge Base Perform correlation and causation studies between process variables, defect patterns, and reliability outcomes. Build and maintain a structured knowledge base for package health learnings to enable NPI handover and future technodes. End-to-End Traceability </