Solution Architect Enablement Business Partner 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 Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Environmental, Health and Safety Project Title Environmental, Health and Safety Digitalisation and Automation Project Description The Environmental, Health and Safety Intern will contribute to projects that enhance workplace safety, environmental compliance, risk management, and continuous improvement. The intern will gain practical experience in semiconductor manufacturing Environmental, Health and Safety programmes while developing digital and automation solutions that improve compliance tracking, reporting efficiency, and employee safety awareness. Objective of the Project Improve Environmental, Health and Safety compliance, risk management, and sustainability through data analysis, safety initiatives, digitalisation, and continuous improvement projects, while gaining hands-on industry experience. Opportunities for Full Time Employment High-performing interns may be considered for future internship or full-time employment opportunities, subject to business needs and hiring requirements. Project Scope Develop digital and automation solutions that enhance Enviro

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 ASIC Logic Design team develops next-generation ASICs and controller IP that enable industry-leading memory solutions. Working across advanced process technologies, the team collaborates with architecture, analog, verification, physical design, and validation engineers to deliver high-performance, production-ready silicon for future DRAM products. As an ASIC Digital Design Engineer, you will contribute to the design and development of RTL for next-generation DRAM memory controllers and subsystems. You will work in a collaborative engineering environment supporting design implementation, simulation, validation, and chip bring-up activities while leveraging AI-enabled tools to improve productivity and design quality. Responsibilities Design and develop RTL for DRAM memory controllers and subsystem components using SystemVerilog. Collaborate with analog, verification, physical design, validation, and other cross-functional teams to support successful product development. Develop and validate HDL models, support simulation and co-simulation activities, and analyze design functionality and performance. Support chip bring-up, debugging, and validation activities to identify and resolve design issues. Use scripting, automation, and AI-enabled tools to improve design workflows, productivity, and engineering efficiency. Minimum Qualifications 0-2 years of relevant experience through intern

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 Fab 10N Department Facilities Engineering, Artificial Intelligence and Smart Facilities Project Title Fab 10N Facilities Artificial Intelligence and Workflow Transformation Project Description This internship provides an opportunity to explore the application of Artificial Intelligence, Machine Learning, data analytics, automation, and digital technologies within a semiconductor manufacturing facilities environment. The project focuses on developing AI-Enabled solutions that enhance equipment reliability, predictive analytics capabilities, operational efficiency, knowledge accessibility, and engineering decision-making. The intern will gain exposure to real-world industrial datasets, engineering workflows, Artificial Intelligence technologies, and digital transformation initiatives. Through collaboration with Facilities engineers and domain experts, the intern will learn how advanced analytics and Artificial Intelligence can be applied to solve operational challenges and create business value. Objective of the Project Develop AI-Enabled solutions that improve Facilities Engineering analytics and decision-making. Apply Machine Learning and data anal

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 Metro Real-time Defect Analysis (RDA) Shift Engineer, you will be responsible for ensuring stable, continuous, and safe operation of advanced packaging equipment platforms, with a strong focus on New Product Introduction (NPI) and early-life production phases. You will serve as the first-line technical responder for equipment alarms, system issues, and process deviations across advanced packaging lines (e.g., wafer-level packaging, assembly, test, and backend processes). You will leverage RDA tools, automation systems, and cross-functional collaboration to minimize downtime, accelerate learning cycles, and ensure smooth transition from New Product Introduction (NPI) to high-volume manufacturing (HVM). You will work closely with Process, Equipment, NPI, Automation, IT, and Global RDA teams to support 24x7 operations, drive rapid issue resolution, and ensure adherence to standard operating procedures during high-change, high-learning environments typical of NPI ramps. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

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 Quality Metro Real-time Defect Analysis (RDA) Engineer, you will be responsible for enabling robust quality monitoring, early detection, and rapid containment of quality risks across advanced packaging and NPI manufacturing environments. You will focus on leveraging RDA platforms, Statistical Process Control/ Fault Detection & Classification (SPC)/ (FDC) systems, automation, and data analytics to prevent escapes, accelerate learning, and improve product and process robustness, particularly during N ew Product Introduction (NPI) , pilot, and early ramp phases. This role acts as a critical bridge between Quality, RDA, Process, Equipment, and NPI teams, ensuring quality requirements are embedded into monitoring strategies and operational execution. You will work closely with Site and Global Quality, Process Integration, Equipment Engineering, and Automation teams to drive quality-focused diagnostics, excursion management, and continuous improvement in a high-change, high-learning environment. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational stan

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 an PDE Yield Enhancement (YE) Engineer within Package Development Engineering (PDE), you will be responsible for yield monitoring, excursion management, and yield stabilization during High Bandwidth Memory (HBM) New Product Introduction (NPI) . This role is critical to ensuring robust yield performance from first silicon through NPI ramp and early HVM , working closely with Process Integration (PI), MRDA, Process Engineering (PE), Assembly/Test Manufacturing, and Quality teams. You will act as a hands‑on yield owner during NPI builds, driving fast learning cycles, early risk detection, and disciplined yield recovery. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness,exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Yield Loss Accounted For Account for HBM NPI builds across Post Wafer Finishing (PWF), Assembly, and

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 HIG PSE IE Senior Technician , you will support HBM IQP Reliability, Device Reliability, Package Reliability, Wafer Reliability, and product debug activities . The role includes reliability testing, failure analysis, laboratory operations, inventory and logistics management, audits, safety compliance, and continuous improvement initiatives. You will leverage Artificial Intelligence (AI) and AI-assisted tools to improve IQP reliability run rate management, enhance debug capabilities, support wafer-level reliability testing, and drive automation and digital transformation within the lab environment. Key Responsibilities Support Device Reliability, Package Reliability, and Wafer Reliability execution. Monitor and manage IQP reliability run rates, sample flow, and hardware readiness. Perform first-pass failure analysis and product debugging using probe stations and other debug tools. Utilize AI-assisted tools to improve debugging efficiency, root cause investigation, and operational planning. Support automation projects, data analysis, dashboard reporting, and process improvements. Manage procurement, inventory, logistics, and laboratory readiness activities. Support audits, document contr

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 visi on is to transform how the world uses informati on to enrich life for all . Micr on Technology is a world leader in innovating memory and storage soluti on s that accelerate the transformati on of informati on into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking an experienced SailPoint Identity Security Cloud (ISC) Developer to join our team and help advance Micron's Identity & Access Governance (IAG) capabilities. This role focuses on SailPoint Identity Security Cloud (ISC), SailPoint's next-generation SaaS-based identity governance platform, and requires hands-on expertise in configuring, integrating, and extending ISC to deliver scalable enterprise identity solutions. In this role, you will be a key member of a cross-functional team responsible for designing, developing, and delivering capabilities that support Micron's identity governance strategy and business </span

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 PDE Process Integration (PI) Engineer is responsible for driving process integration excellence for High Bandwidth (HBM) products during New Product Introduction (NPI) . This role ensures robust process readiness, yield ramp, and cross‑module integration across Post Wafer Finishing PWF, assembly, and test , enabling successful execution of HBM technology roadmaps. The PI Engineer works cross‑functionally with Fab, Assembly, Test, Yield, Quality, and central engineering teams to identify risks early, resolve complex integration issues, and deliver NPI milestones on time. Job Responsibilities Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. NPI Execution & Support Execute assigned HBM NPI PI tasks following defined procedures and phase‑gate requirements Support NPI builds through lot tracking, data collection, and

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 Metro Real-time Defect Analysis (RDA) Process & Equipment Engineer, you will be responsible for developing, deploying, and sustaining RDA capabilities that enable robust process control and equipment performance across advanced packaging and New Product Introduction (NPI) manufacturing environments. You will focus on integrating process knowledge, equipment behavior, and automation intelligence to improve tool stability, detect early signals of risk, and accelerate learning during NPI, pilot, and ramp phases. This role serves as a critical link between Process Engineering, Equipment Engineering, NPI teams, and RDA, ensuring monitoring strategies are technically sound, actionable, and scalable to high-volume manufacturing (HVM). You will work closely with Site and Global RDA, Process, Equipment, Automation, and IT teams to drive continuous improvement in equipment capability, process robustness, and manufacturing readiness. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of

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. We are building a global Process Safety function that directly supports the next generation of memory technology. Our team partners across development, manufacturing, and EHS to ensure complex processes scale safely and consistently. If you’re energized by solving high-impact challenges and shaping global safety programs, you’ll find meaningful work here. In this role, you will help drive the Risk-Based Process Safety (RBPS) framework for High Bandwidth Memory (HBM) technologies. You’ll work across global teams to identify and handle safety challenges associated with processes in fast-paced development and manufacturing environments. Your expertise will influence how new technologies are safely developed, transferred, and scaled worldwide. Responsibilities: Lead Risk-Based Process Safety(RBPS) governance and drive consistency across sites supporting HBM processes Partner with engineering and manufacturing teams to identify, assess, and mitigate process safety risks tied to new materials and complex processes Support Management of Change (MOC), ensuring timely risk assessments and closure of actions for tool, chemistry, and process changes Facilitate hazard analyses, audits, investigations, and share findings to improve system-wide perfo

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 North Coast Drive, Singapore Department F10 Process and Equipment Engineering, Chemical Vapour Deposition Module Project Title Big Data Analysis of Wafer Bevel Wafer Intelligent Scanner Metrics for Defect Reduction Project Description The Wafer Intelligent Scanner collects inspection data from the edge, or bevel, of wafers during semiconductor manufacturing. This internship project uses data analytics to study Wafer Intelligent Scanner metrics, identify patterns linked to defects, and determine early warning indicators that may help prevent future yield issues. The goal is to transform large volumes of inspection data into actionable insights that enable engineers to detect potential issues earlier and reduce wafer defects. The intern will gain practical exposure to semiconductor process and equipment engineering, defect analysis, machine learning, and AI-Enabled manufacturing analytics. Objective of the Project Identify Wafer Intelligent Scanner metrics associated with wafer defects and yield loss. Develop a data-driven methodology for detecting abnormal wafer bevel behaviour. Evaluate statistical, machine learning, and Artificial Intelligence t

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: Coordinate the operation and maintenance of various water systems, including Ultra Pure Water (UPW), Non-Potable Water, Reuse, Stripper/Catalyst, Distillation, and Wastewater treatment systems. Ensure the flawless distribution, collection, treatment, and quality control of water systems to maintain high standards. Lead the planning and execution of system expansion projects as needed. Develop and implement strategies for environmental sustainability and engage with government entities on water restoration initiatives. Provide leadership and development opportunities for team members, encouraging a collaborative and high-performing team environment. Coordinate with cross-functional teams to successfully implement tasks and achieve objectives. Respond promptly to system failures and work efficiently to restore water services. Leverage AI-enabled tools and data analytics to enhance water system monitoring, predictive maintenance, operational decision-making, troubleshooting efficiency, and project execution. Drive continuous improvement through digitalization, automation, and adoption of AI-assisted work practices. Minimum Qualifications: College degree or higher (major not limited). Intermediate or higher proficiency in English, capable of communicating and presenting reports in the field of water treatment. More than 8 years of experience in semiconductor water treatment. S

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 Product Development Engineering Key Equipment Group (PDE KEG) engineer, you will be primarily responsible for identifying, selecting, and evaluating new equipment (highly automated and computerized) / new technology to support current and future requirement for advantage packaging technology. You will also be responsible for installation and qualification of new equipment platform and handover to production group (Equipment Maturity Index, EMI). In addition, tasks include maintaining a matrix of key equipment platform capability and constraints (Tool of Records, TOR) on current and new equipment platforms, collaborating with production groups on upgrades of existing production equipment through continuous improvement projects Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.&#34; Support the evaluation and qualification of new equipment plaforms Define, development and establish new equipment design/ capability requirements aligned to Process a

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. At Micron, our vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we accelerate the transformation of information into intelligence, enabling advances in learning, communication, and technology. Micron's Boise site is at the center of a historic semiconductor manufacturing expansion, supported by a $15 billion investment. This growth creates exciting opportunities for students to contribute to leading-edge DRAM manufacturing while developing technical expertise in one of the world's most advanced fabrication environments. The ID1 High Volume Manufacturing Process Engineer supports process quality, yield improvement, manufacturing efficiency, and cost reduction within a high-volume semiconductor fabrication environment. This role partners closely with equipment engineers, manufacturing teams, process owners, and operations leaders to find opportunities, resolve process issues, and optimize wafer output. The successful candidate will apply statistical analysis, engineering principles, and data-driven decision making to improve manufacturing performance, support operational excellence, and contribute to key area performance indicators. Responsibilities Monitor, analyze, and improve manufacturing processes to achieve yield, quality, throughput, and cost objectives. Apply SPC, FDC, Design of Experiments, and systematic problem-solving methodologies to identify and resolve process deviations and chronic is