Intern Process And Equipment Engineer Jobs

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 vision is to transfer 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 process integration and device engineer Intern at Micron Technology, Inc., you will have opportunities to work with an industry leading team on cutting edge technologies to enable next generation DRAM in the manufacturing Fab, ramp up production yield and deliver high quality DRAM products to customers. You will be offered hands-on experience in semiconductor process integration, electrical data analysis, with exposure to advanced technology development, yield improvement, and cross-functional collaboration. Responsibilities Support integration of process modules across various CMOS module loops. Analyze inline data to identify yield detractors and process anomalies. Collaborate with cross-functional teams (YE, Device, PI, process et al) to drive continuous improvement. Document findings and present updates to engineering and leadership teams. Leveraging AI tool to improve problem solving efficiency and productivity Requirements: Knowledge of semiconductor process flow. Knowledge of DRAM process flow is a plus. Basic Knowledge of mainstream memory such as DRAM, NAND, NOR et al. Some knowledge of individual processes

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 10N (1 North Coast Drive, Singapore 757432) Department Process Integration Engineering Project Title AI-Enabled Inline Health Monitoring and Process Drift Detection Project Description This internship project focuses on developing and enhancing an inline health-monitoring system for Process Integration. Through close mentorship and hands-on learning, the intern will extract and organize relevant inline metrics, targets, and specifications, and develop visualizations for process-health monitoring. The intern will gain exposure to semiconductor Process Integration by analyzing process data and exploring Micron-qualified Artificial Intelligence tools. The project will also evaluate opportunities to automate selected parts of the inline monitoring workflow, improve drift detection, and enhance engineering productivity. Objective of the Project Develop an AI-Enabled inline health-monitoring and process drift-detection solution. Improve the visualization of inline metrics, targets, specifications, and process-health trends. Explore Artificial Intelligence applications for process-window optimization and e

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 of Artificial Intelligence and AI-Enabled analytical tools to improve the efficiency, quality, and effectiveness of project analysis. Objective of the Project The project aims to: Identify potential sources of process variability and yield loss. Improve the analysis of inline signals, process data, and test results. Determine relationships between process conditions and manufacturing rejects. Develop data-driven re

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 is a global leader in DRAM innovation, developing memory technologies that enable the next generation of computing, artificial intelligence, and data-driven applications. Within the Technology Development organization, the Process Integration team drives the development of future DRAM architectures by coordinating device, materials, and process innovations across multiple engineering fields. Team members work in a highly collaborative R&D environment to solve complex technical challenges and accelerate technology scaling. As a Process Integration Engineer Intern, you will contribute to the development of next-generation DRAM memory technologies through multi-functional collaboration involving process integration, device engineering, materials development, and process architecture. This role requires strong technical expertise, analytical problem-solving skills, and the ability to coordinate activities across multiple engineering organizations to achieve technology achievements and product objectives. Responsibilities Define technology achievements, design rules, structural requirements, and electrical specifications for next-generation DRAM technologies while supporting achievement of program targets and timelines. Collaborate with process development, simulation, process architecture, circuit design, and quality teams to ensure alignment with product and technology requirements. Develop and maintain documentation related to process integration plans, technical risks, issue resolution,

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. Project Title Selective Solder Tooling Enhancement and BOL Conversion Readiness Enhancement Description Enhance selective solder process robustness by introducing tooling improvements while strengthening BOL conversion readiness by introducing a standardized tooling selection system covering Cornerfill (CF), Selective Solder (SS) and Enclosure Assembly (EA). The project aims to reduce conversion ambiguity, setup errors and process variability across BOL operations. Scope 1. Selective Solder Tooling Enhancement (SS) - Qualify and release selective solder process enhancement toolings to improve setup stability, consistency and repeatability - Address tooling‑related contributors to process variation during selective solder operations 2. BOL Conversion Readiness Enhancement (CF, SS, EA) - Develop and implement a tooling selection system defining required toolings for each product conversion across BOL - Standardize tooling requirements to eliminate ambiguity during CF, SS and EA conversions - Improve conversion clarity, reduce human dependency and minimize conversion‑related errors Deliverables 1. Qualify and release selective solder tooling enhancements, including: - Uflex quick‑change gripper - Fixed preheater jig positioning standardization - Hold‑down unit design improvements<

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 outcomes such as cycle‑time reduction, faster learning loops, and process optimization. Perform statistical analysis of split experiments (e.g., DOE‑related analysis), including data preparation, feature engineering, and model interpretation. Conduct split-DOE and conversion analytics , including datamining and statistical evaluation of split outcomes (e.g., ANOVA‑style learning). Identify opportunities to accelerate process learning</

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 Wet Process Group evaluates emerging hardware platforms, develops and optimizes process chemistries, and performs fundamental research to support next-generation semiconductor technologies. As a Wet Process Intern, you will partner with engineers to develop innovative wet processing solutions that meet future device requirements while improving existing manufacturing processes. You will contribute to projects focused on process capability, productivity, contamination control, and surface/interface characterization. In this role, you will gain hands-on experience supporting research and development activities, analyzing experimental results, and collaborating with multidisciplinary engineering teams to drive continuous process improvements. Responsibilities Develop, execute, and evaluate wet process experiments to support future semiconductor technology nodes and process development initiatives. Assist with chemistry development, contamination reduction, and surface/interface characterization projects to improve process performance and capability. Analyze experimental data and communicate findings through technical reports, presentations, and project updates. Collaborate with multi-functional engineering teams to improve process productivity, efficiency, and manufacturability. Apply Artificial Intelligence (AI), AI-Enabled analysis tools, and data-driven methodologies to improve research efficiency, process optimization, and data analysis workflows. Minimu

Intern – Manufacturing Technician (Wet Process and Data Analysis) — Fab 10W, Singapore. Apply via Workday.

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. 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 artificial intelligence 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 process integration engineer in the 3D DRAM organization, you will join a team of world-class engineers who are working in an industry leading 300mm R&D facility on technology that enables the future of memory scaling. You will focus on performance and manufacturability of Micron’s cutting-edge next-generation memories. Areas of concentration will include integration and circuit issues specific to 3D DRAM technology. In addition to a broad basis of process integration knowledge, this position requires a strong background in materials science and semiconductor device physics, along with a creative mindset and effective project management. The role interacts significantly with process development, simulation, characterization, and reliability groups. Responsibilities: Contribute to technology development activities to enable next generation DRAM, working on device components such as charge storage devices and thin-film transistors, among others. Optimize process flows and develop creative solutions to meet product requirements. Engage numerous cross-functional te

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 Technology is a global leader in memory and storage solutions, transforming how the world uses information to enrich life for all. At the Mask Technology Center (MTC), we develop and manufacture advanced photomasks that enable next-generation semiconductor technologies. As a Photomask Wet Process Engineering Intern, you will join the MTC Cleans Team and contribute to the development of advanced cleaning and resist strip processes used in the fabrication of DUV and EUV photomasks. This role provides hands-on experience in semiconductor process development, defect reduction, contamination control, and data-driven engineering. You'll have the opportunity to lead an independent summer project with measurable business and technical impact, and present your technical findings and recommendations to engineering teams and site leadership. Project areas include: EUV and DUV defect reduction, Contamination mitigation and control, Advanced wet cleaning chemistry development, Resist strip process optimization, Tool matching and qualification, Yield improvement initiatives, Process characterization and capability enhancement, Data analytics and process monitoring Responsibilities You will gain: Hands-on experience developing advanced processes for groundbreaking EUV and DUV photomask technologies. Exposure to semiconductor manufacturing, defect engineering, and process integration. Mentorship from experienced engineers and technical leaders. Opportunity to lead a high-visibility engineering project and present

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. Analyze process and measurement data to identify factors contributing to cumulative error variation. Apply statistical analysis and data visualization techniques to evaluate relationships between process conditions and cumulative error performance. Develop potential control strategies to reduce cumulative error variation. Recommend opportunities to improve process margins and inline stability. Learning Opportunit

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data struc