Interns 2027 I in Singapore

Intern- AMHS — Fab 10N/X, Singapore. Apply via Workday.

Job Requisition ID # 26WD100993 Position Overview As an Intern Product Manager for Identity & Access Management (IAM), you’ll get hands-on exposure to the authentication and authorization services that power every Autodesk product for humans, non-human identities, agents, and devices. You’ll work alongside experienced product managers and cross-functional partners to learn how a foundational platform team builds trust and security at Autodesk’s scale. This internship is designed to give you a real-world foundation in product management within a high-impact, fast-moving platform team.IAM sits at the center of how Autodesk secures access across cloud, desktop, AI, and ecosystem workflows, including emerging areas such as non-person identities, agentic access, and service-account governance for third-party integrations. As an intern, you’ll contribute meaningfully to this mission by supporting product research, contributing to requirements, participating in team rituals, and developing your PM skills in an environment that values curiosity, collaboration, and continuous learning. If you’re excited about the intersection of security, identity,

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. Role Overview This internship project is designed to provide students with hands‑on learning exposure to data analytics, machine learning, and statistical modeling applied within Process Integration (PI) for advanced NAND technology development. The intern will work on a defined project focused on exploring how data‑driven approaches can support process learning, experimentation, and engineering decision‑making. Through this project, the intern will gain exposure to process, inline, and electrical datasets, and learn how analytical insights can be translated into prototypes, analyses, and documented learnings relevant to PI engineers. Key Responsibilities Build and evaluate data ‑driven models to support PI ou

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. Description: Internship to contamination control for cleanroom manufacturing process. Job Scope: Responding to ERT and Security alerts and ensuring that gowning room logistics are adequate when evacuation occurs ​ Responding to contamination alarms and reporting abnormal conditions to engineering and other stake holders Sampling various areas of the Fab for contamination (swab, bacteria, airborne and liquid particles and airborne molecular contamination) and working with the chemical lab to have the samples analyzed and obtaining the data in a timely manner Ensuring that real time monitoring systems are Operating and recording properly Carrying out primary investigation on contaminati

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 Thin Films Process Engineering (Chemical Vapor Deposition) Project Title Crater Defect Reduction in Tetraethyl Orthosilicate (TEOS) Chemical Vapor Deposition Process Project Description Crater defects observed in the Tetraethyl Orthosilicate (TEOS) Chemical Vapor Deposition (CVD) process pose yield and integration risks in high‑volume semiconductor manufacturing. This internship project focuses on developing a structured understanding of crater defect mechanisms by integrating process knowledge, chamber condition review, and manufacturing data analytics. The intern will work on a defined engineering problem and apply data‑driven methodologies and controlled experimentation to identify defect contributors and evaluate improve

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. Project Title F10N/W CMOS Matching and RegE Wafer Edge Exclusion (WEE) Program Role Overview The intern will be responsible for driving yield improvement initiatives through CMOS matching analysis and RegE Wafer Edge Exclusion (WEE) program. The role focuses on identifying inline mismatches, reducing wafer edge-related yield loss, and developing robust analytical solutions to enable sustainable manufacturing performance. Key Responsibilities F10 N/W CMOS Matching Conduct fab to fab offload interaction studies to identify and diagnose inline mismatches between N and W processes that contribute to yield differences. Perform detailed bevel characteri

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 MSB Process Integration Engineering Project Title Semiconductor Manufacturing Reject Reduction Through Process Variability Analytics Project Description The intern will participate in a structured project focused on improving semiconductor manufacturing reject rates through process variability reduction. The project will provide practical exposure to semiconductor packaging, Assembly and Test processes, and manufacturing data analytics. Under appropriate guidance, the intern will analyze inline signals, process parameters, and test results to identify patterns and potential contributors to process variability and yield loss. The intern will also explore the responsible application

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 (Micron Singapore Bendemeer) Department Test Solutions Engineering Project Title AI-Enabled Test Process Optimization and Technology Qualification Project Description As an intern within the Test Solutions Engineering team, you will undertake a structured engineering project related to semiconductor backend test processes, equipment capabilities, software, or operating methodologies. You will gain exposure to manufacturing and equipment data analysis, process-performance evaluation, and the qualification of new technologies for High Volume Manufacturing. Objectives Develop an understanding of semiconductor backend test processes and equipment. Evaluate process 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 Advanced Technology and Solutions, Process Equipment Engineering, Chemical Mechanical Planarization Project Title AI-Enabled Chemical Mechanical Planarization Process Optimization and Equipment Characterization Project Description The intern will undertake a structured engineering project focused on Chemical Mechanical Planarization process optimization, equipment characterization, and manufacturing excellence within a semiconductor manufacturing environment. The project will provide practical exposure to process and metrology data analysis, statistical methods, process capability assessment, material or equipment qualification, and Artificial Intelligence-Enabled engineering workflows. The intern will collaborate with cross-function

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, Fab10 Department Fab10 High-Volume Manufacturing Photo Process and Equipment Engineering Project Title Automation of Non-Zero-Offset Control for High-Volume Manufacturing Photo Processes Project Description Non-Zero-Offset is a key photo-process control parameter used in overlay-performance management and yield protection. The current workflow includes data preparation, Non-Zero-Offset generation, engineering review, validation, and post-implementation monitoring. As the number of process vintages increases, a scalable analytical approach is needed to improve workflow consistency and efficiency. The intern will undertake a structured project to develop and evaluate an automated, data-driven Non-Zero-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. 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 is an integral contributor to Micron’s growth, advancing total-cost effectiveness and supply-chain resilience through predictive capabilities, risk analysis, sustainability, and supplier diversity. The team invests in skills-based learning and development, creates opportunities for career growth, and fosters an inclusive global culture. The intern will undertake a structured transformation project within Front-End Materials Procurement Operations. The project will provide practical exposure to procurement syste

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 Photolithography Engineering Project Title Large-Scale Photolithography Software Stack Integration Project Description Photolithography is one of the most software-intensive and technologically advanced manufacturing processes in semiconductor manufacturing. Maintaining world-class performance requires an integrated software ecosystem spanning process control, equipment connectivity, data engineering, automation, visualization, machine learning, and decision-support systems. As an intern within the Photolithography Engineering team, you will collaborate with process, equipment, data, and manufacturing engineers to design and develop software solutions that transform large-scale manufacturing data i

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 Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement oppor

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. Project Title Cumulative Error Variation Reduction in Staircase and Chop Etch Processes Project Description Analyze manufacturing process and measurement data to identify sources of cumulative error variation within advanced-technology staircase and chop etch processes. Develop data-driven control strategies and process improvement recommendations to reduce variation and improve inline process stability. The project will provide exposure to dry etch processes, staircase flow integration, statistical analysis, data visualization, and the etching mechanisms relevant to semiconductor process control. Project Scope Understand the measurement methodology and process mechanisms used to define cumulative error within the staircase formation loop.</

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 Product Engineering Project Title Machine Learning and Agentic AI Solutions for Semiconductor Product Engineering Project Description The Product Engineering Machine Learning and Agentic AI Intern will undertake an engineering project focused on applying Artificial Intelligence to semiconductor yield analysis, test optimization, data processing, and workflow automation. Working under the guidance of experienced Product Engineers and Citizen Data Scientist mentors, the intern will develop Machine Learning models, explore Agentic AI solutions, and evaluate engineering data from probe, wafer, test, and manufacturing processes. The project provides hands-on exposure to structured data