Intern - RDA (Real-Time Defect Analysis)

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, and platform product management, this is your opportunity to build the foundation for a career in product management. On-site in-person recruitment drive starts from 9 October - 6 November 2026 Responsibilities Explore and experiment with emerging PM practices shaped by AI, including AI-assisted user research synthesis, automated metric monitoring, and prompt-driven competitive analysis, and bring your findings back to the team Be p

Job Requisition ID # 26WD100995 Position Overview Join us as a Software Engineering Intern and become part of a team responsible for building key components of Autodesk's Delivery Platform. This role is perfect for individuals passionate about developing platforms and ecosystems that support diverse workflows and integrations. We're seeking fast learners who enjoy tackling challenges related to scalability, optimization, and reliability, who are excited about adopting emerging technologies including but not limited to Artificial Intelligence. On-site in-person recruitment drive starts from 9 October - 6 November 2026 What You’ll Learn Hands-on experience building AI-enhanced components and intelligent services Learn how to build consistent, reusable, and adaptable modules Develop an understanding of user-centric design through stakeholder collaboration and decision-making processes Responsibilities Engage in innovative research to develop practical solutions for desktop and cloud-based applications Design and build software applications that enhance Autodesk’s offerings across Windows, macOS, and Linux platforms Collaborate with cross-functional teams to address integration challenges across various components and SDKs Investigate, prototype, and evaluate new technologies and algorithms as needed Drive excellence in design and implementation with a focus on efficiency, scalability, and performance Participate in design and code reviews within your team and across other teams Minimum Qualificati

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 (MSB) Department Manufacturing Test, MSB Project Title Faster Manufacturing Metrics Analysis and Drift Detection Using Advanced Data Analytics and Machine Learning Project Description Data analytics and machine learning are used in manufacturing operations to improve efficiency and provide greater visibility into production-line health. Large volumes of data are generated from electrical tests, physical tests, and manufacturing measurements, creating opportunities for faster analysis and earlier detection of abnormal performance. This internship project focuses on developing an end-to-end analytical solution covering data querying, preprocessing, feature engineering, modelling, and results visualization. The intern will apply advanced analytics and machine learning techniques to manufacturing data to improve metrics analysis and identify potential performance drift. Through this project, the intern will gain exposure to industrial data analytics, predictive modelling, simulation, optimization, and visualization techniques used in semiconductor manufacturing. Objective of the Project Develop an end-to-end analytics solution for faster ma

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. 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. Location Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim