Interns 2027 I 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 Advanced Device Technology and Systems, Advanced Technology Enablement Dry Etch, F10 Project Title Dry Etch Process Performance Optimization Using Data Analytics and Artificial Intelligence Project Description Dry etch is a critical semiconductor manufacturing process that has a significant impact on product yield, cycle time, and manufacturing capacity. This internship project focuses on applying process engineering, data analytics, and AI-Enabled methods to understand process behavior, identify performance gaps, and develop improvement recommendations. The intern will work with manufacturing, equipment, and process datasets to explore opportunities related to process stability, productivity, and yield. The project will provide practical exposure to dry etch process engineering, industrial data analytics, data visualization, and Artificial Intelligence applications. Objective of the Project Analyze dry etch process and equipment performance using manufacturing data. Identify sources of process variation, performance drift, productivity loss, and yield impact. Develop data-driven recommendations for improving process stability

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 Equipment Engineering (PEE) Project Title AI-Enabled CMP Equipment Health & Breakage Risk Prediction Dashboard Project Description Chemical Mechanical Planarization (CMP) tool performance directly influences wafer quality, equipment reliability, and manufacturing efficiency. This project focuses on developing an AI-Enabled dashboard that integrates fab equipment and manufacturing data to identify early indicators of wafer breakage, equipment degradation, and yield excursions. The intern will work on data exploration, predictive analytics, and visualization techniques to develop an intelligent monitoring solution that enables proactive decision-making. Through this project, the intern will gain exposure to semiconductor manufacturing equipment, reliability engineering methodologies, Artificial Intelligence applications, and data-driven engineering practices within a high-volume manufacturing environment. Objective of the Project Develop an AI-Enabled equipment monitoring and risk prediction dashboard capable of identifying potential CMP tool-related wafer breakage and excursion risks before significant manufacturing impact occurs. Oppo

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 SSD Assembly Process & Equipment Engineering Project Title AI-Enabled SSD Depanel Process Characterization and Optimization Project Description This internship project focuses on characterizing process variations in SSD depanel operations within a high-volume manufacturing environment. The project aims to deepen understanding of the interactions between process parameters, equipment performance, and product quality outcomes. The intern will undertake a structured engineering project involving Design of Experiments (DOE), statistical analysis, process characterization, and data-driven optimization techniques. In addition, the intern will explore AI-Enabled approaches to improve engineering productivity, automate data interpretation, and accelerate insight generation from process characterization activities. The project provides an opportunity to gain hands-on experience in process engineering, equipment operations, and advanced manufacturing technologies within the semiconductor industry. Objective of the Project Characterize key process variables affecting SSD depanel performance and product quality. Establish a robust op

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 Manufacturing Wet Process Engineering (MFG WET) Project Title AI-Enabled Germhold Reduction for Dry Strip Workstation Project Description This internship project focuses on leveraging data analytics and AI-Enabled methodologies to understand and reduce equipment Germholds within the Dry Strip workstation in a semiconductor manufacturing environment. The project aims to identify key factors contributing to Germhold occurrences, develop data-driven insights, and evaluate opportunities to improve workstation efficiency and manufacturing capacity. The intern will gain hands-on experience working with operational datasets, engineering teams, and manufacturing equipment while exploring the application of Artificial Intelligence, machine learning, and predictive analytics within semiconductor manufacturing processes. Objective of the Project Identify key drivers and trends associated with equipment Germholds in the Dry Strip workstation. Apply data analytics and machine learning techniques to uncover opportunities for Germhold reduction. Develop a structured methodology to improve understanding of equipment performance and opera

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 Solutions Engineer Intern sits within the Transform the Business pillar of the Quality Systems organization, supporting the AI Process Intelligence (AIPI) team. This role is ideal for students or recent graduates in Computer Science, Data Science, Software Engineering, or related technical fields who are curious, eager to learn, and excited about AI and automation. You will work closely with and under the guidance of senior Solutions Engineers and Process Architects, participating in defined project tasks, testing activities, documentation, and proof-of-concept development. You are not expected to independently lead projects — you are expected to learn fast, contribute meaningfully, and grow your skills in a structured and supportive environment. Department Global Quality Systems – Solutions Engineering Project Title AI‑Driven Automation and Knowledge Integration – Solutions Engineering Internship Project Description This internship is a learning‑focused, project‑based role designed to provide hands‑on exposure to AI‑enabled automation and enterprise system integration within Micron’s Quality Systems domain. The project focuses on designing and developing prototype‑level automation and AI agent

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 Device Engineering Project Title AI-Enabled Device Characterization Automation and Intelligent Engineering Workflow Platform Project Description As an AI / Data Science Intern in the NAND Device Engineering organization, you will participate in the development of AI-Enabled solutions that enhance engineering productivity, accelerate device characterization, and improve data-driven decision-making for advanced 3D NAND technologies. This internship provides an opportunity to apply Artificial Intelligence, machine learning, data science, and automation techniques to complex semiconductor engineering datasets. The project focuses on developing intelligent automation workflows, AI-assisted analysis platforms, and Agentic AI solutions that streamline device characterization activities, automate engineering insights generation, and improve project execution efficiency. Working alongside experienced engineers, you will gain exposure to semiconductor device development, large-scale data analytics, and emerging Generative AI technologies within a manufacturing and product development environment. Objective of the Project Develop an AI-Enabled platform that automate

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. The HBM Physical Design team is responsible for implementing advanced High Bandwidth Memory (HBM) SoC and base die designs that enable next-generation AI, high-performance computing, and data center solutions. The team collaborates across architecture, RTL, verification, DFT, and signoff engineering to deliver high-performance, power-efficient silicon while developing innovative design methodologies and automation solutions. As an SoC Physical Design Intern on the HBM team, you will work alongside experienced engineers to support the implementation of advanced HBM SoC designs. You will gain hands-on experience with physical design methodologies, timing analysis, signoff flows, and automation while contributing to the development of next-generation memory products that power AI and high-performance computing applications. Responsibilities Support the physical implementation of SoC design blocks, including floorplanning, placement, clock tree synthesis, routing, and physical optimization activities. Analyze timing, power, area, congestion, and physical verification results to find opportunities for design improvement and optimization. Assist with static timing analysis, timing closure, and debugging across multiple operating modes and process corners. Develop and enhance automation tools, scripts, reports, and workflows using Python, Tcl, shell scripting, and AI-assisted solutions. Collaborate with multi-functional engineering teams to document r

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. The DRAM Technology Node Development team is responsible for bringing next-generation DRAM products from concept to production by improving yield, validating new features, and driving product quality. The team collaborates across design, process integration, manufacturing, and test engineering to solve complex technical challenges and deliver innovative memory solutions that power the future of computing. As a Product Engineer Intern in the DRAM Technology Node Development group, you will work alongside experienced engineers to support the development of next-generation DRAM products. You will gain hands-on experience in product characterization, test development, yield analysis, and design validation while applying analytical and problem-solving skills to real-world engineering challenges. Responsibilities Support new DRAM product development through electrical characterization, test development, circuit analysis, and design validation activities. Analyze product, test, and yield data to identify performance issues and drive continuous improvement initiatives. Collaborate with process, design, manufacturing, and test engineering teams to investigate and resolve product and process-related issues. Develop and improve test methodologies, automation scripts, and data analysis tools to enhance product quality and testing efficiency. Apply engineering tools, statistical analysis techniques, and AI-enabled technologies to support product c

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, Probe Product Engineering Project Title AI-Enabled Wafer Probe Test Optimization and Yield Analytics Project Description The NAND Probe Product Engineering Intern will undertake an engineering project focused on wafer probe testing, silicon characterization, yield analysis, and test optimization. Working under the guidance of experienced Product Engineers, the intern will study how probe test strategies are developed and evaluated across product development and manufacturing phases. The project provides exposure to advanced NAND semiconductor technologies, wafer-level testing, statistical data analysis, yield improvement methodologies, and Artificial Intelligence-enabled engineering workflows. The intern will collaborate with cross-functional teams, including Design, Design for Test, Design Validation, Process Integration, Backend Test, Reliability, and Manufacturing Engineering. Objective of the Project Develop an understanding of wafer probe testing and its role in NAND product development and manufacturing. Evaluate probe test data to identify yield patterns, product behavior, and test optimization opp

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 Fab 10, 1 North Coast Drive Department F10 Facilities Project Title Exhaust Plume Detection and Reduction Through Mechanical Engineering Analysis Project Description This internship provides an opportunity to participate in an engineering study focused on the characterisation, detection, and mitigation of exhaust plumes within a semiconductor manufacturing environment. The project involves evaluating plume formation mechanisms, assessing potential detection methods, and investigating engineering approaches to reduce or eliminate visible plume conditions. The intern will apply mechanical engineering principles, data analysis, and engineering evaluation techniques to support the study while gaining exposure to facilities systems, sustainability initiatives, and energy-efficiency opportunities. Objective of the Project Investigate factors that contribute to exhaust plume formation. Evaluate suitable methods for plume detection and characterisation. Assess engineering approaches for plume reduction or elimination. Identify potential energy-efficiency opportunities associated with mechanical exhaust systems. </

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 Fab 10, 1 North Coast Drive Department Facilities Project Title Capacity, Capital and Layout Industrial Engineering Solution Management & Prototyping Project Description This internship provides an opportunity to participate in industrial engineering projects focused on improving productivity, workflow efficiency, and business processes within the Planning and Warehouse functions. The intern will analyze existing workflows, identify improvement opportunities, and develop prototype digital solutions that enhance operational efficiency and decision-making. Where applicable, the intern may utilize Artificial Intelligence (AI), Generative AI, automation technologies, and digital tools to support workflow analysis, solution development, and process improvement initiatives. Objective of the Project Identify workflow inefficiencies and improvement opportunities within business processes. Develop and evaluate prototype solutions that improve productivity and process effectiveness. Apply data analysis and process improvement methodologies to support decision-making. Deliver up to three Minimum Viable Product (MVP) so

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 Test Engineering Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring Project Description Objective of the Project Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment. The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges. Project Scope Learning Opportunities Understand SSD test manufacturing processes and semiconductor production environments. Learn the architecture and operation of automated SSD test equipment platforms. Gain experience in equipment reliability engineering and predictive maintenance methodologies. Develop skills in data extraction, cleansing, analysis, and visualization using engineering datasets. Ap

Qui sommes-nous ? Fondée en 2014, Artefact est une société française de services autour de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L’Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Data Analyst, tu seras intégré(e) à une équipe travaillant étroitement avec des consultants / data scientists et tu participeras à des missions ayant un impact réel pour les clients. Tes missions pourront inclure : Collecter, nettoyer, préparer les données à partir de sources diverses (bases de données internes, API, logs, etc.). Explorer et analyser les données pour identifier tendances, anomalies, corrélations, patterns utiles. Participer à la conception et réalisation de dashboards / reportings sous outils de data visualisation (ex. Tableau, PowerBI, ou outils internes) pour présenter les résultats aux équipes ou aux clients. Contribuer à la définition de KPI pertinents selon les objectifs métier. Travailler en collaboration avec les équipes métier (marketing, produit, etc.) pour bien comprendre leurs besoins et transformer ces besoins en analyses exploitables. Aider à automatiser certains processus de reporting ou analyses simples. Documenter tes travaux, partager les résultats et les apprentissages au sein de l’équipe, proposer des améliorations ou de nouvelles approches quand c’est possible. Profil recherché

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 Policy Communications team supports the company’s global government and public affairs efforts by developing central messaging and amplifying policy narratives across coordinated channels. The team works closely with internal customers and external partners to advance Micron’s policy priorities in key regions. As a Policy Communications Intern, you will play an active role in supporting the execution of Micron’s global policy communications strategy. This internship offers hands-on experience in content creation, social media management, event monitoring, and cross-functional collaboration, all aimed at advancing Micron’s policy objectives. Responsibilities Support the implementation of global policy communications strategies across integrated channels Draft communications materials including quotes, press releases, and messaging briefs Manage and create content for the &#64;MicronPolicy X account to meet engagement goals Attend and summarize congressional hearings and think tank events related to semiconductor and national security issues Monitor policy activities and industry news to identify engagement opportunities Collaborate with global communications, marketing, and digital teams to amplify narratives Copy edit and format internal and external communications products Minimum Qualifications Currently pursuing a Bachelor's degree or higher in Communications, Marketing, Business, Public Relations, or a related field. <

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 Bendemeer (MSB) Department Solid State Drive Manufacturing Operations Project Title Solid State Drive Manufacturing Productivity and Operational Improvement Project Description The Solid State Drive Manufacturing Intern will undertake a structured improvement project within the Manufacturing Operations team. The intern will apply industrial engineering, lean manufacturing, and data analytics principles to identify opportunities related to productivity, quality, safety, material flow, and operational efficiency. The project may cover Front End of Line, Middle End of Line, Back of Line, or Configure-to-Order manufacturing operations. The intern will gain practical exposure to semiconductor manufacturing while collaborating with Manufacturing, Industrial Engineering, Process Engineering, Test Engineering, Quality, and Planning stakeholders. Where relevant, the intern will use AI-Enabled analytics tools, Generative AI, or an AI Assistant to enhance data analysis, identify patterns, develop visualizations, and improve project documentation. Objective of the Project The objective is to provide the intern with practical experience in manufacturing improvement