Manufacturing Engineering Supervisor Jobs

Job Details: Job Description: As the world's largest chip manufacturer, and a global leader in innovation and new technology, Intel strives to make every facet of semiconductor manufacturing state-of-the-art - from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today. What we offer: We foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We give you opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth. What we do: Join the Logic Technology Development (LTD) organization, a powerhouse of process technology innovation driving Intel's IDM 2.0 strategy to exceed the aspirations of our global customers. We are seeking a visionary Principal Engineer to lead the charge in Intel's foundry revolution, serving as a strategic technical architect and executive partner in guiding our most critical customers through the entire product development lifecycle. In this leadership capacity, you will orchestrate multidisciplinary strategies spanning device engineering, product integration, and yield analysis to steer customers from critical design tape-out and pre-silicon evaluation through to NPI silicon qualification. Furthermore, you will define t

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 Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges. Responsibilities Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement. Support structured engineering experiments, document findings, and communicate results through technical reports and presentations. Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance. Develop an understanding of equipment hardware,

Job Details: Job Description: The Role and Impact: Become an integral part of Intel's manufacturing operations, where innovation meets precision. As a Manufacturing Technician, you will play a pivotal role in crafting high-quality products that drive the future of technology. Working alongside a dynamic, high-performing team, you will ensure the seamless operation of production processes, helping Intel maintain its position as an industry leader. This role offers the opportunity to work on cutting-edge equipment, optimize production efficiencies, and see the tangible impact of your contributions on the world around you. This role is a shift based role. Candidates must have ability to work on a monthly rotating shift pattern. Exact shift details are shared during interview stage. Key Responsibilities : Operate and monitor production equipment to ensure adherence to manufacturing standards and procedures. Conduct routine maintenance, diagnostics, and troubleshooting of manufacturing equipment to resolve production challenges effectively. Perform functions associated with wafer production, including equipment handling, process training, and defect reduction. Implement adjustments to machinery and equipment settings to optimize production efficiency and output quality. Collaborate with peers and management to meet production targets and escalate issues promptly when output schedules are at risk. Maintain production logs and required documentation following Standard Operating Procedures. Drive quality improvements and cost optimization efforts in partnership with engineering teams. Conduct quality control evaluations, including inspections of raw materials and finished products, to e

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

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. Summary Department Introduction The OCT Material & Filtration Engineering team supports Micron’s global manufacturing network. The team focuses on material quality, risk reduction, and continuous improvement to enable successful technology ramps and sustainable manufacturing performance. We collaborate closely with engineering, quality, procurement, and operations partners around the world. Position Overview As an OCT MTE Material Engineering Staff/Principal Engineer, you will contribute to material quality, filtration strategy, and value‑engineering efforts across multiple sites. In this role, you will help shape global material strategies, strengthen risk controls, and share guidelines that improve safety, quality, speed, and cost. This position offers opportunities to grow technical influence while making a meaningful impact on technology development and high‑volume manufacturing. Responsibilities Support and lead material quality, filtration, risk mitigation, and value‑engineering initiatives across the global network. Partner with global and site teams to define and align material technical requirements and qualifications. Develop, share, and sustain Best Known Methods (BKMs) across manufacturing sites. Collaborate with fabs to build and complete material roadmaps that support technology ramps. Facilitate global peer teams to align priorities, strategies, and execution to manufacturing goals. Plan and manage projects aligned to fab, central, and

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 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 North Coast Drive, Singapore Department Product Integration Engineering (PIE), Process Integration (PI ) Project Title Advanced Memory Process Integration Improvement Exploration and Device Reliability Study (NAND / DRAM / HBM) Project Description This internship provides a structured learning opportunity within the Process Integration Engineering team, focusing on advanced semiconductor memory manufacturing technologies, including NAND, DRAM, and HBM devices. The intern will gain exposure to reliability concepts, fail

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 (990 Bendemeer Road) Department Test Engineering, Electrical Failure Analysis and Physical Failure Analysis Project Title AI-Driven Semiconductor Failure Analysis and Laboratory Digitalisation Project Description This internship provides an opportunity to gain hands-on exposure to semiconductor failure analysis methodologies, laboratory automation, and AI-Enabled engineering workflows. The project focuses on leveraging data analytics, digital tools, and Artificial Intelligence to enhance failure analysis efficiency, improve knowledge management, and accelerate engineering decision-making. The intern will learn how Electrical Failure Analysis and Physical Failure Analysis techniques are used to identify the root causes of product and process issues across memory technologies in a high-volume manufacturing environment. Objective of the Project Develop a digital or AI-Enabled solution that improves failure analysis workflow efficiency. Apply data analytics and visualization tools to enhance laboratory process visibility. Explore automation opportunities that improve engineering productivity and knowledge accessibility. </

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. 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 Product Engineering Project Title Machine Learning and Agentic AI Solutions for Semiconductor Product Engineering Project Description The Product Engineering Machine Learning and Agentic AI Intern will undertake an engineering project focused on applying Artificial Intelligence to semiconductor yield analysis, test optimization, data processing, and workflow automation. Working under the guidance of experienced Product Engineers and Citizen Data Scientist mentors, the intern will develop Machine Learning models, explore Agentic AI solutions, and evaluate engineering data from probe, wafer, test, and manufacturing processes. The project provides hands-on exposure to structured data analytics, Artificial Intelligence agents, engineering automation, and production-oriented AI applications in a semiconductor environment. Objective of the Project Develop Machine Learning solutions for semiconductor yield, reliability, test-time, or cycle-time improvement. Explore Agentic AI applications that automate selected engineering analysis and documentation workflows. Transform high-volume semiconductor datasets into structur

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor fie

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 a Senior/Staff Engineer in Frontend (FE) Central Quality Engineering – Global Deviation Management (Event Deviation) at Micron Technology, Inc., you will play a critical role in driving quality excellence across Micron’s global Frontend manufacturing network. Our mission in the FE Central Process QE organization is to elevate Micron’s quality standards through strategic collaboration with Frontend sites, Global Quality teams, and Central partners. In this role, you will lead initiatives to identify, manage, and reduce deviations across all Micron Frontend fabs. You will partner with Corporate QMS, QRA, Manufacturing, and other cross-functional teams to foster a Best-in-Class Quality Culture, ensuring alignment between quality, wafer output, and cost objectives. Key Responsibilities Lead global quality initiatives to design, implement, and sustain robust deviation management processes and systems. Drive the Effective Problem Solving (EPS) SWAT team, deploying Best-Known Methods (BKMs) and standardizing practices across manufacturing sites. Analyze and resolve major Quality deviations (e.g., Excursion & Late event) by providing data-driven recommendations to improve fab performance. Champion quality improvement projects, addressing non-conformances and implementing corrective and preventive actions. Continuously enhance quality metrics such as $CoNC and %NCD through innovative solutions and system improvements. Form and lead cross-functional task

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for advanced AI workloads. The team builds next-generation AI-native silicon and systems, working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. Beyond delivering systems for OpenAI’s supercomputing infrastructure, the team develops the strategic partnerships needed to accelerate hardware innovation and scale. About the Role We’re seeking an experienced Hardware Strategic Sourcing & Manufacturing Partnerships Manager to lead strategic engagements with joint design manufacturers (JDMs), contract manufacturers (CMs), and original design manufacturers (ODMs) across OpenAI’s hardware ecosystem. Based in Singapore, you will own the complete manufacturing partner lifecycle: developing sourcing strategies, leading RFIs and RFPs, evaluating and selecting JDM, CM, and ODM partners, negotiating commercial agreements, onboarding suppliers, launching manufacturing programs, and managing long-term partnerships. You will work closely with engineering, manufacturing, supply chain, finance, legal, security, and program management teams to establish partnerships supporting AI-native silicon, rack-scale systems, and related infrastructure. Success requires strong commercial judgment, technical credibility, and hands-on operational execution. In this role, you will: Develop and execute partnership strategies across JDM, CM, and ODM engagement models, identifying the appropriate manufacturing approach based on product requirements, technical complexity, scale, speed, cost, and risk. Lead end-to-end RFI and RFP processes for prospective JDM, CM, and ODM partners, including defining requirements, conducting market outreach, managing competitive bids, coordinating stakeholder evaluations, and presenting selection recommendations. Evaluate manufacturing partners across technical capabilities, product design and engineer

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 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. Summary Department Introduction The OCT Material & Filtration Engineering team supports Micron’s global manufacturing network. The team focuses on material quality, risk reduction, and continuous improvement to enable successful technology ramps and sustainable manufacturing performance. We collaborate closely with engineering, quality, procurement, and operations partners around the world. Position Overview As an OCT MTE Material Engineering Staff/Principal Engineer, you will contribute to material quality, filtration strategy, and value‑engineering efforts across multiple sites. In this role, you will help shape global material strategies, strengthen risk controls, and share guidelines that improve safety, quality, speed, and cost. This position offers opportunities to grow technical influence while making a meani

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: Production Line Oversight & Continuous Improvement Monitor production line performance, identify improvement opportunities, and drive initiatives to improve efficiency and quality. Inventory Management & Optimization Use advanced analytics, scheduling optimization, and reporting tools to strengthen site inventory health and support supply chain stability. Application Development & Automation Develop and maintain Python and SQL-based programs to support scheduling optimization applications and streamline manufacturing processes. Cross-Functional Collaboration Partner with engineering teams to improve overall inventory performance through business process improvements, scheduling logic development, and data-driven reporting. Visualization & Reporting Build and implement dashboards and analytical reports to monitor inventory health and provide actionable insights for decision-making. Qualifications: Proficiency in Python and SQL for data analysis and application development. Strong analytical and problem-solving skills with experience in data visualization tools (Power BI, Tableau preferred). Knowledge of manufacturing processes and scheduling principles. Excellent communication and collaboration skills across departments. Preferred Experience: Background in semiconductor manufacturing or high-volume production e

SLSQ227R148 As Partner Sales Director for Manufacturing & Energy, you own the partner go-to-market strategy for the vertical — architecting joint solutions with our most strategic partners, building durable pipeline, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' Manufacturing & Energy partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the vertical — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Senior Director, Partner Sales. The impact you will have: Build and own the pipeline engine — architect the Manufacturing & Energy partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value Manufacturing & Energy use cases. Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly