Machine Vision And Aoi Sr Engineer 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. Project Title Photolithography Equipment Digital Twin and Throughput Optimization Using Advanced Data Analytics Project Description Develop a data-driven digital twin framework for photolithography manufacturing equipment to model tool behavior, identify productivity constraints, and evaluate optimization opportunities. The project will leverage equipment performance, process, and manufacturing datasets to create predictive simulations that improve understanding of tool utilization, cycle time drivers, and throughput performance. The project will provide exposure to advanced manufacturing analytics, simulation modeling, machine learning techniques, and data visualization applications commonly used in semiconductor manufacturing. Objective of the Project The objective of the project is to develop an analytical framework for modeling photolithography equipment behavior, evaluating productivity constraints, and identifying data-driven opportunities to improve equipment utilization, cycle time, and throughput performance. Opportunities for Full Time Employment The intern may be considered for relevant full-time employment opportunities based on business needs, position availability, and demonstrated suitability during the internship.

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 Design Architecture team drives exploration and analysis of next‑generation AI memory and system environments. The organization partners closely with DTPCO, Design, and Product/System teams to understand how evolving AI workloads shape memory system behavior and architectural strategies. The HBM Design Architecture Intern supports early‑stage research, performance modeling, and tool development that guide future HBM architectural decisions. This role provides hands‑on exposure to AI system trends and memory subsystem analysis while working closely with senior engineers and technical mentors. Responsibilities Research emerging trends in compute, networking, and storage infrastructure to understand how future AI workloads may evolve. Support HBM architecture analysis by gathering and synthesizing data related to bandwidth, latency, and system‑level memory requirements. Help develop or refine simulation frameworks used to model AI cluster performance and memory subsystem behavior. Participate in building trend dashboards using CSP benchmarks and industry datasets. Collaborate with DTPCO mentors to explore architectural intercept opportunities for next‑generation AI systems. </ul

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. An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and cross-functional partners. Key Responsibilities Team Collaborate with a global platform team and customer base Communicate clearly both written and verbally with customers, stakeholders, and vendors. Service Enablement & Innovation Stay updated on platform roadmaps and upcoming changes through regular communication with vendors and public forums. Collaborate with solution architects to evaluate and adopt new tools and features that accelerate technical solution delivery. Participate in the evaluation of new services and features following SMAI Enablement and Architecture Review Board (ARB) guidelines. Document findings, share insights with platform team members, and contribute structured feedback to vendors. <span

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 Department System Product Engineering Project Title Engineering Workflow Improvement and Data Analytics for Solid-State Drive Product Engineering Project Description As a System Product Engineering Intern, you will work on a structured engineering project focused on improving workflow efficiency, data analysis, and information management across solid-state drive product development and manufacturing. You will collaborate with product engineers, data engineers, and cross-functional stakeholders to study existing engineering processes and develop practical digital solutions. The internship will provide hands-on exposure to engineering data, automation, software development, and data visualization. Where relevant to the selected project, you may also explore AI-enabled tools for engineering information retrieval or data analysis. Objective of the Project Study selected System Product Engineering workflows and identify opportunities for process improvement. Develop data analytics or automation solutions that improve the efficiency and consistency of engineering activities. Strengthen the availability and presentation of engineering information for technical 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. The DRAM Systems & Architecture Lab researches next-generation memory architectures that enable future AI, machine learning, and high-performance computing systems. The team explores innovative memory technologies, system architectures, and hardware-software co-design approaches to improve performance, scalability, and efficiency for emerging AI workloads. As a Research Intern in the DRAM Systems & Architecture Lab, you will conduct research focused on next-generation memory systems for AI accelerators. You will investigate tiered memory architectures, analyze AI workload behavior, develop experimental prototypes, and evaluate architectural innovations across hardware, software, and system-level environments. This role offers the opportunity to contribute to research that may influence future product roadmaps, publications, and advanced memory system designs. Responsibilities Research and evaluate tiered memory architectures designed to improve performance and scalability for AI inference and large language model workloads. Develop experimental methodologies, models, simulations, and prototypes to analyze memory system performance, data movement, and workload behavior. Investigate memory hierarchy optimizations, data placement strategies, cache management, and memory migration mechanisms across AI computing systems. Perform quantitative analysis using hardware platforms, simulation environments, and FPGA-based prototypes to evaluate architectural trade-offs. Document research finding

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. At Micron, we are transforming how the world uses information to enrich life through innovative memory and storage solutions. The DRAM Thin Films Process Engineering team develops advanced materials and deposition processes that enable future memory scaling, improved device performance, and next-generation semiconductor technology. Our team works at the forefront of process development to support DRAM technologies that power artificial intelligence, cloud computing, and data-intensive applications. As a DRAM Thin Films Process Engineering Intern, you will work alongside experienced engineers on a high-impact summer project focused on semiconductor process development and optimization. This role provides hands-on experience with experimental design, process characterization, data analysis, and multi-functional collaboration. You will contribute to real engineering challenges and present your results to technical and leadership audiences at the conclusion of the internship. Responsibilities Research and develop innovative solutions that support next-generation memory technology and thin film process advancement. Develop, complete, and analyze experiments to improve thin films process performance, manufacturability, and product quality. Apply statistical analysis, data science techniques, and AI-enabled tools to identify process trends, optimize performance, and accelerate engineering decision-making. Partner with process, equipment, and integration engineering teams to solve complex technic

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's Object Store team is building the in-house, multi-tenant object storage platform that underpins every large-object workload at Roblox — assets, media, analytics, backups, and machine learning datasets — at exabyte scale, trillions of objects, and terabytes per second of throughput. We build and run it ourselves on bare metal in our own data centers, replacing cloud object storage with a platform we control end to end — down to the hardware. As a principal engineer on the Object Store team, you will shape the architecture, build and launch the capabilities that keep this platform durable, fast, and efficient at global scale, and set the technical direction for where it goes next. You will report to the Engineering Manager for Storage. You will: Design and build the object store — S3-compatible gateway, metadata and indexing, data placement and tiering, multi-tenancy and isolation. Own the technical strategy : multi-year architecture, build-vs-buy calls, and the migration off cloud object storage. Evolve the control plane for elastic scaling, autonomous healing, self-service provisioning, and zero-downtime tenant moves. Run the bare-metal fleet at scale — cluster lifecycle, upgrades,

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. Platform Engineer An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners. Responsibilities: Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions. Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities. Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform). Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams. Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments. Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability. Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions. Implement and m

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 Summary The Staff Engineer in System and Technology Product Group (STPG) owns defined technical scope across the full learning loop of NAND Test Chip Vehicle (TCV) development. This role drives pre-silicon validation, post-silicon characterization, simulation-to-silicon correlation, and technology learning to improve future NAND architectures. Success requires strong technical judgment, advanced data analysis capability, cross-functional collaboration, and the ability to independently drive complex technical issues to resolution while influencing design, process, technology development, and test stakeholders. Main Responsibilities Own pre-silicon validation, simulation coverage, regression development, and correlation activities for TCV programs. Analyze simulation results to identify architecture, device, performance, and margin sensitivities that influence tape-out readiness. Own post-silicon validation, characterization, debug, and silicon learning activities for TCV devices. Drive root cause analysis of silicon anomalies and distinguish design, process, modeling, and test-related limitations. Define test modes, patterns, stress conditions, and characterization methodologies to maximize technology learning 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. Key Responsibilities Logistics Operations & Analytics Analyze logistics performance metrics, transportation costs, service levels, inventory flows, and operational KPIs. Develop dashboards, reports, and performance scorecards using business intelligence tools, AI-assisted analytics, and automated reporting capabilities. Identify and implement cost reduction and productivity improvement opportunities across the logistics network. Leverage AI-enabled insights to identify shipment delays, cost anomalies, service risks, and operational exceptions for proactive follow-up. Collaborate with carriers, forwarders, warehouses, and internal stakeholders to resolve operational challenges. Global Logistics Project Management Lead and coordinate global logistics transformation projects across multiple regions and sites. Develop project plans, milestones, risk assessments, and implementation roadmaps. Work with cross-functional teams including Supply Chain, Manufacturing, IT, Planning, Procurement, Finance, and Trade Compliance. Track project progress, manage stakeholder communications, and escalate risks when required. Support logistics network optimization, process standardization, new si

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 Lead full-chip floor planning, integration, physical implementation, signoff, and tape-out execution. Drive layout implementation of complex analog, mixed-signal, memory, and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define and scale layout methodologies, best practices, and execution frameworks. Leverage Artificial Intelligence, Machine Learning, and Agentic AI to improve layout productivity, design quality, automation, and faster decision-making. Drive automation initiatives using AI-assisted design, verification, debugging, and knowledge management solutions. Lead cross-functional and global teams, mentor engineers, and drive technical excellence. Qualifications B. Tech /M. Tech in Electrical Engineering, Electronics, VLSI, or related field. 15&#43; years of hands-on custom layout experience. Proven success leading full-chip programs from concept through silicon tape-out. Deep expertise in: Analog & Mixed-Signal Layout Memory & High-Speed Interface Layout Full-Chip Floor planning & Integration Signal Integrity, Power Integrity, EM/IR Physical Verification & Signoff Advanced Node Technologies (FinFET/GAA) Strong proficiency with Cadence Virtuoso, Calibre, StarRC, Totem, and related EDA tools. Proven experience leveraging <

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, Singapore (990 Bendemeer Road, Singapore 339942) Department New Product Manufacturing Project Title AI-Enabled Manufacturing Analytics and Productivity Automation Project Description The intern will undertake a structured project that applies Artificial Intelligence, Generative AI, data analytics, and automation technologies to selected opportunities within New Product Manufacturing. Under the guidance of experienced engineers and business stakeholders, the intern will evaluate defined processes where AI-Enabled solutions may reduce manual effort, improve data visibility, automate reporting, and generate actionable insights from manufacturing and operational data. The project may involve automated work-in-process reporting, lot-prioritization analysis, intelligent dashboards, or productivity automation. The intern will gain practical experience using approved tools such as Microsoft Copilot, Power BI, Power Automate, Power Apps, SharePoint, Python, and Structured Query Language. Objective of the Project Develop an understanding of New Product Manufacturing processes, data sources, and operational challenges. Identify a defined opportunity where AI, Generative AI, data analytics

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 F10 site, 1 North Coast Drive, Singapore 757432 Department Process Engineering Project Title PSK Thermal Optimization for Advanced Semiconductor Manufacturing Project Description The intern will undertake a structured Process Engineering project focused on wafer thermal management and plasma strip process optimization. Under the guidance of experienced engineers, the intern will investigate the impact of chuck temperature on wafer thermal behaviour, film properties, and process performance. The project will involve experimentation, Design of Experiments, statistical analysis, process modelling, and data visualization. The intern will also gain exposure to AI-Enabled data exploration and predictive analytics for identifying process relationships and optimization opportunities. Through this project, the intern will develop practical knowledge of semiconductor manufacturing while contributing data-based recommendations for improving process robustness, yield, productivity, and cost performance. Objective of the Project Develop an understanding of wafer thermal management and plasma strip processing in semiconductor manufacturing. Characterize the relationshi

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 Department Storage Technology and Products Group Product Engineering, Project Title NAND Silicon Design Validation and Automated Data Analysis Project Description The intern will undertake a structured engineering project focused on the silicon design validation of advanced NAND products. Under the guidance of experienced engineers, the intern will develop an understanding of NAND operations, Verilog simulation, validation planning, laboratory measurement techniques, and silicon validation data analysis. The intern will gain practical exposure to testers, oscilloscopes, probe stations, scripting tools, and approved in-house engineering software. The project will also provide opportunities to explore Artificial Intelligence and Machine Learning-enabled workflows for validation data collection, report generation, and anomaly detection. The intern’s activities will be limited to the assigned project and conducted with appropriate supervision. Objective of the Project Develop an understanding of NAND operations and silicon design validation methodologies. Apply circuit and feature knowledge to develop a structured validation plan. Collect 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. Location 1 Woodlands Industrial Park D, Street 1, Singapore Department Dry Etch Manufacturing Project Title Predictive Modelling of Dry Etch Equipment Consumable-Part Lifetime for Cost and Productivity Improvement Project Description The intern will undertake a structured engineering project focused on identifying key consumable parts in Dry Etch equipment and studying the process and equipment parameters that influence their useful lifetime. Under the guidance of experienced engineers, the intern will analyze equipment, process, maintenance, and consumables-related data to develop a predictive analysis model for estimating part lifetime. The project aims to improve consumable utilization and cost efficiency while maintaining safety, product quality, equipment performance, and manufacturing yield. The project will provide exposure to Dry Etch equipment, lean manufacturing, cost management, data analytics, predictive modelling, dashboard development, and AI-Enabled engineering workflows. Objective of the Project Develop an understanding of Dry Etch equipment functions, processes, and key consumable parts. Identify equipment and process parameters that influence consumable-part lifetime