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
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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
About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. About the job Goods & Services is looking for a Senior Data Platform Engineer who is responsible for hands-on implementation, maintenance, and operational support of modern lakehouse platforms, with a focus on Microsoft Fabric / OneLake. In this role, you will participate in the full lifecycle from requirements to deployment and production support, translating business needs into reliable data products while ensuring data quality, monitoring, and performance. You will work closely with Solution Architects to follow platform standards across multiple engagements. What you’ll do: Ensure data quality and reliability by implementing data quality checks, monitoring anomalies, performing root cause analysis on pipeline failures, and proactively identifying and resolving data or process issues impacting reliability, cost, or stakeholder trust. Implementation & Operations: Design, build, and maintain data ingestion and orchestration components (e.g., Fabric Data Pipelines, notebooks) for patterns such as file drops, APIs, and database extracts. Reliability & Quality: Ensure data integrity by implementing quality checks, monitoring anomalies, and performing root cause analysis on pipeline failures. Architecture & Modeling: Develop curated transformation layers
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 seeking a Facilities Technology Transfer Engineer to join our world-class Engineering team in Boise, ID, USA. This is an outstanding opportunity to be part of a company that is at the forefront of the semiconductor industry. The Facilities Technology Transfer (FTT) Engineer at Micron Technology, Inc., is responsible for providing facilities engineering planning and support for deployment of technology transfer from Micron’s Technology Development Fabs to Micron’s HVM facilities. Engineering includes analysis of production tool utility requirements, analysis of new technology utility requirements and First of a Kind (FOAK) materials, processes and tools that may have impact on facilities, safety, and/or the environment. You will be expected to ensure engagement with manufacturing during technology transfer and help push out facilities requirements for upcoming technology transfers. The FTT Engineer will work independently with minimal direction, complete projects in a timely manner and achieve set objectives and goals. Responsibilities: Collaborate with cross-functional teams to develop and execute technology transfer plans, ensuring the successful integration of new facilities technologies and processes. Partner with Facilities, Industrial, and Planning Engineers to develop tool utility databases, templates, and utility matrices that support technology transfer requirements. Drive continuous improvement initiatives to optimize facility systems, enhance operational efficiency, reduce costs, a
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 Description This internship supports engineering teams across Micron Singapore in improving manufacturing processes, equipment performance, yield, quality, reliability, and operational efficiency. Successful candidates may be assigned to projects within Process Engineering, Equipment Engineering, Manufacturing Engineering, Quality Engineering, Industrial Engineering, or related engineering functions. Where applicable, interns may utilize Artificial Intelligence (AI), Generative AI, automation technologies, advanced analytics, or digital manufacturing tools to improve engineering efficiency and decision-making. Objective of the Project Improve manufacturing processes and operational performance. Support equipment optimisation and reliability initiatives. Analyse production data and identify improvement opportunities. Develop engineering solutions to improve yield, quality, productivity, and cost performance. Support continuous improvement and operational excellence activities. Job/Project Scope Inte
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
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. Key Responsibilities In this role, you will have the outstanding opportunity to drive world-class initiatives that are pivotal to Micron's manufacturing excellence. You'll be responsible for leading critical programs, developing governance frameworks, and partnering with cross-functional teams to meet ambitious goals. Frontline Stability Initiative (FSI) Lead the rollout and maintenance of Frontline Stability Program initiatives across HBM and Non-HBM manufacturing lines. Manage governance frameworks such as Frontline Equipment Auto Trigger (FEAT), Equipment Function Matching (EFM), and Change Event Standardization and Governance (CESG). Establish operational benchmarks and monitoring mechanisms to improve manufacturing stability, equipment health, and quality performance. Work alongside Site Engineering, Quality, and Manufacturing departments to secure timely closure of issues and alignment with governance standards. Frontline Equipment Automatic Activation (FEAT) Define and deploy machine auto-trigger strategies based on equipment alarms, FDC, SPC, hotspot detection, and Sub-Lot Soft Bin Limits (SBL). Develop and implement FEAT dashboards and real-time monitoring solutions with AI Assistant. Apply Artificial Intelligence to analyze chronic equipment triggers and lead cross-functional teams in root cause identification and corrective action implementation. Develop governance processes to ensure rapid co
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 Micron Mask Technology Center (MTC) is a leading-edge photomask fabrication facility located in Boise, Idaho. We enable sophisticated photolithography through our fine-tuned photomask manufacturing processes. Join a team that keeps one of the world's most advanced photomask manufacturing facilities running at peak performance. As a Photomask Sustaining Engineering Intern, you will collaborate with engineering and manufacturing teams to investigate complex technical issues, uncover insights from production data, improve quality and cycle time, and develop innovative solutions that support world-class manufacturing. Along the way, you will gain hands-on experience in semiconductor manufacturing, data analytics, root cause analysis, troubleshooting, continuous improvement, and cross-functional collaboration while contributing to real production challenges with measurable impact. What You'll Learn: Photomask manufacturing fundamentals and the role sustaining engineering plays in supporting the manufacturing process. Practical application of AI and automation to improve engineering productivity and knowledge management. SEM/EDX theory, operation, and data interpretation for defect investigation and root cause analysis.SPC theory and application, including trend analysis, control charts, and process monitoring. Statistical analysis techniques used to identify process shifts, prioritize improvement opportunities, and drive data-based decisions. Responsibilities: Analyze manufacturing and engineering data to identify
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 Back End Department Test Engineering Project Title Machine Availability and Parts per Jam Improvement Through Predictive Analytics Project Description The intern will undertake an engineering project to improve burn-in equipment performance using predictive analytics, data automation, and Agentic AI. Under engineer guidance, the intern will analyze equipment alarm logs, investigate downtime patterns, and develop data-driven solutions to improve machine availability and Parts per Jam performance. Objective of the Project Develop a structured alarm database for selected equipment, burn-in boards, and sockets. Apply predictive analytics to identify conditions linked to downtime or reduced performance. Develop automated notification and visualization workflows. Evaluate Agentic AI applications for equipment monitoring and alarm analysis. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment opportunities based on business needs, role availability, academic completion, and demonstrated capabilities. Project Scope </
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. Our Quality V ision is Making Micron the customer’s first choice for quality and Mission is to lead and inspire world-class quality through effective and efficient quality systems and services that deliver industry-leading products of choice. Micron Technology, a global leader in memory and storage solutions, is seeking a dynamic and motivated individual to join our quality team as a Q MS Engineer . This role offers a significant opportunity to contribute to the manufacturing of Q uality M icron W orld C lass latest products through automated, effective and efficient quality <
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. Our Quality V ision is Making Micron the customer’s first choice for quality and Mission is to lead and inspire world-class quality through effective and efficient quality systems and services that deliver industry-leading products of choice. Micron Technology, a global leader in memory and storage solutions, is seeking a dynamic and motivated individual to join our quality team as a Q MS Engineer . This role offers a significant opportunity to contribute to the manufacturing of Q uality M icron W orld C lass latest products through automated, effective and efficient quality </spa
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. MES/Schedulingの専門家としてscheduleの課題解決をリード。 主な業務領域： Leveraging AI（Artificial Intelligence）、および高度解析を活用したData解析とSchedule改善 Generative AI、Agentic AI、AI Assistantなどを活用したEquipment Log分析、異常検知、および改善提案 Fab Auto Stage Ratio管理 Qtime違反削減・装置Standby改善 RPA/SQL/API/Agentic Solutionを活用したダッシュボード・自動化機能の提供 Global BKMおよびAI活用事例の収集・展開 Power User育成（MAS/SQL/UiPath/Power Tools） IE理論教育（TOC/統計/MBPS/JITなど） Predictive Analytics、Anomaly Detection、Simulation技術を活用した製造パフォーマンスおよびスケジューリング最適化 Using AIおよびLeveraging Artificial Intelligenceを通じた業務改善、自動化、意思決定支援の推進 ■ 期待される役割 Fab15におけるSchedulingとAutomationの改善推進。 Scheduler改善の中核として他チームとの連携強化。 他Siteとの連携によるBest Practiceの導入と内製化。 MESトラブルシューティングの即応性向上。 ■ 必要なスキル・経験 Scheduling系システムの深い理解。 SQL/RPA/UiPath/Power BIなどのツール活用力。 統計・TOC・Queuing理論などIE基礎知識。 Global BKMの読解・展開力。 教育・コーチングスキル（Power User育成含む）。 改善提案力とプロジェクト推進力。 AI・機械学習（AI/ML）および高度分析（Advanced Analytics）の基礎知識 予測分析（Predictive Analytics）、異常検知（Anomaly Detection）、シミュレーション技術の活用経験または知識。 データドリブンな意思決定およびAIを活用した継続的改善への理解。 責任あるAI（Responsible AI）の考え方と適切な活用能力。 コミュニケーション能力。 日本語 英語 ■ Role as an MES/Scheduling Expert Lead resolution of scheduling challeng
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. As FECOS cPIE Standardization & Metrics Engineer you will be responsible on: Drive for alignment and standardization across various fabs on Best-Know-Methods (BKMs) Develop Metrics to measure the standardization, sustainability, scalability and synchronization of the BKMs. Identify gaps in current programs and use SMART metrics to drive effectiveness and efficiency on program deliverables. Transform yield SEAL and SWATs to achieve FECOS missions, improving network resource/talent leverage. Implement organizational change management methods and tools to increase the speed of adoption and capture project or program return of investment. Ability to exercise judgment and adapt accordingly to encourage and persuade others to adopt the change required for a successful implementation of the program. Constantly drive productivity and eliminate inefficiency / ineffectiveness through automation and AI solutions. Collaborate with various multi-functional teams on yield reports, develop business process to optimize current system with clear roles and responsibility. Promotes cPIE teams alignment and collaboration with critical metrics /metrics definition standardization, data automation & visualization, metrics performance monitoring and metrics adoption tracking. Engage team members and drive accountability, performance driven culture through clear communication, formal and informal feedback, goals and critical metric Drive diversity, equality, and inclusive worki
This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym
This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym
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