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Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Note: Google's hybrid workplace includes remote roles.Remote location: Thailand.Minimum qualifications: Bachelor's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience. 8 years of experience in Printed Circuit Board Assembly (PCBA), and with in SMT processes. Experience with process and production line assembly development. Experience in leading design for manufacturability, hardware manufacturing, and lean manufacturing. Experience in developing relationships with contract manufacturers. Preferred qualifications: Master's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience. Experience with statistical product quality control, process capability, failure analysis, and process improvement. Experience with product data management systems (e.g., Agile, Windchill) and 3D CAD modeling tools, such as SolidWorks or Pro Engineer. Knowledge of IPC Workmanship Standards and ISO 9000. Ability to be well-focused, give attention to details, and commit to produce a timely and highly accurate work product. Excellent investigative, organizational, leadership, written and verbal communication skills. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Liaison for the manufacturing engineering to Google new technology teams, understand project requirements, assess product technologies and develop a manufacturing plan and supply chain to support it. Provide technical expertise and leadership throughout the product lifecycle, drive DFX, supporting New Product Introduction (NPI) builds and develop Google's supply chain. Provide strong technical influence and DFX that would benefit manufacturability. Build up CM capabilities in SMT, process, test, root cause analysis and communications. Develop and distribute manufacturing documentation in support of product design, configuration, process and build requirements, document such items as bill of materials (BOM), assembly drawings, manufacturing work instructions, Tooling/Jig, etc. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent practical experience. Experience in hardware engineering, test engineering, or a related manufacturing test environment. Experience contributing to the development and integration of manufacturing test hardware, including custom electronics, cabling, test fixtures, or instrumentation. Experience in continuous improvement in test systems and processes. Preferred qualifications: Experience participating in the test or board-level validation of server and networking products, with exposure to system-level functional tests in a manufacturing environment. Familiarity with test station bring-up and basic validation concepts. Familiarity with Linux or Windows OS, along with practical experience writing basic Python and Shell scripts. Ability to draft and execute detailed test plans based on product specifications, ensuring testing procedures are followed accurately. Ability to assist the engineering team in troubleshooting manufacturing issues and conducting root-cause analysis. Ability to learn and adopt new tools, such as automation or data analysis. About the jobAs a Manufacturing Test Engineer, you will develop, enhance and sustain manufacturing test processes, tools and procedures for manufacturing operation of products to be deployed at Google Data Center. When vendors build parts for our infrastructure, you’ll be right there alongside ensuring manufacturing test processes are repeatable and controlled.In addition, you will collaborate with the New Product Introduction (NPI) team, Design Engineers and Quality Engineers to drive continuous improvements to products and manufacturing processes. Your work will ensure the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Assist in developing and deploying test solutions for new products with global manufacturing partners, collaborating with NPI and executive engineering teams to understand test requirements and support DFT (Design for Test) reviews. Support daily test operations for sustaining products by helping to deploy, validate, and maintain software and hardware updates on manufacturing test lines. Contribute to initiatives aimed at optimizing test processes, improving test coverage, and reducing cycle times, while working collaboratively with cross-functional teams. Participate in the investigation of manufacturing yield issues and field escapes, helping to analyze data and implement corrective actions to prevent recurrence. Draft and maintain clear documentation for test processes, setup procedures, and troubleshooting guides to help standardize practices across internal teams and external partners. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Note: Google's hybrid workplace includes remote roles.Remote location: Thailand.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 5 years of experience in hardware engineering or test engineering in manufacturing. Experience in developing and integrating manufacturing test hardware using custom electronics, fixturing, and instrumentation. Experience in managing test systems and processes to optimize manufacturability. Preferred qualifications: Experience in design or test of server and networking products, with a focus on board and system-level functional tests in manufacturing. Experience with coding in Python, and Shell scripting, and familiarity with Linux operating systems. Knowledge of test stations bringing-up incorporating validation methodology (i.e., gage repeatability and reproducibility). Ability to generate comprehensive test plans based on product specifications while effectively executes testing procedures. Ability to troubleshoot complex manufacturing issues collaboratively with the engineering team. Ability to explore and apply new technologies like automation or data analytics, to enhance manufacturing tests in efficiency or cost reductions. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Develop and deploy test solutions for products in collaboration with Google's global manufacturing partners, while partnering with the NPI team to define comprehensive test requirements and provide Design for Test (DFT) expertise to ensure testability and manufacturability. Maintain smooth test operations for sustaining products by leveraging extensive manufacturing test knowledge and ensuring timely and accurate deployment of software and hardware changes to manufacturing test systems. Lead initiatives to optimize test processes, increase test coverage, and reduce costs, while collaborating with cross-functional teams to drive improvement in product quality. Identify, analyze, and resolve manufacturing yield issues and field escapes, implementing preventive measures to ensure closure. Develop and maintain comprehensive documentation for test processes and procedures to ensure standardized practices with internal and external partners. Maintain test scripts to support new test features, software/firmware upgrades. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Mechanical Engineering or equivalent practical experience. 5 years of experience in mechanical design, manufacturing and electro-mechanical systems and products. Experience in working with suppliers via Product Life Cycle (PLC) engagement models (e.g., Agreement Manufacturer, Joint Design Manufacturing Model (JDM), and Original Device Manufacturer (ODM)). Experience in 3D CAD (e.g., Creo, SolidWorks), Product Data Management (PDM) systems (e.g., Agile, Windchill), Critical to Function (CTF) dimensioning, 2D drawings and tolerance analysis. Preferred qualifications: Knowledge of Statistical Process Control (SPC) and process capabilities. Knowledge of data center machine and rack designs. Knowledge of fixture design and materials selection of common metals and plastics. Knowledge of Design Failure Mode and Effect Analysis/Process Failure Mode and Effect Analysis (DFMEA/PFMEA) fundamentals. Ability to learn, adapt to new situations, and work as part of a cross-functional team. Excellent technical program management and communication skills. About the jobIn this role, you will play a role in manufacturing mass production of Google’s data center products in Cloud Supply Chain Operations (CSCO). You will have the opportunity to early engage New Product Introduction (NPI), influence Design for Excellence (DFx) changes, lead projects and make significant contributions to Google's manufacturing processes. You will build and deploy technology to support the needs of compute, storage, networking, and machine learning hardware.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Review and influence designs using Design for Manufacturing and Assembly (DFM/DFA) fundamentals to develop manufacturable and scalable products. Collaborate with cross-functional teams including Mechanical Engineering, Supply Quality Engineering, Program Managers and Global Commodity Manager. Lead product qualifications from mechanical parts and assemblies to L11 rack integration at agreement manufacturing partners. Drive the Root Cause Correction Action (RCCA) investigations to resolve manufacturing and system assembly issues. Audit suppliers, and influence sourcing strategy by providing technical feedback to the commodity management team. Lead mechanical part suppliers to improve the manufacturing yield, efficiency and throughput. Analyze product system assembly needs, influence mechanical designs changes, and identify solutions to problems. Lead manufacturing process design, optimization, and qualification. Be responsible for the mechanical parts qualification and factory physical capacity increase to build up a supply chain resilience. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in engineering field or equivalent practical experience. 8 years of experience in manufacturing operations. Preferred qualifications: Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field. 15 years of experience in Surface Mount Technology (SMT) and final assembly. Experience in Statistical Process Control (SPC), Process Capability (CP/CPK), and statistical analysis tools. Experience with CAD and Gerber tools, including Valor, AutoCAD, and Cadence Allegro. Knowledge of L6/L10 system integration, NPI development, and industry-standard inspection/testing procedures. Ability to lead cross-functional teams and CM/ODM partners in ambiguous environments. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Lead new product transfer and line qualifications, ensuring seamless multi-sourcing capabilities. Participate in early-stage NPI and pre-production builds, driving factory readiness and providing critical Design for Excellence (DFx) and yield feedback. Oversee production through End of Life (EOL), managing assembly yields, cost-reduction initiatives, and automation solutions for released products. Execute data-driven strategies to reduce cycle times and costs while optimizing capacity, quality, and manufacturing efficiency. Monitor assembly processes to identify issues, initiating root cause investigations and corrective actions with Contract Manufacturer (CM)/Original Design Manufacturer (ODM) partners. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. 5 years of experience in software development. Experience developing and validating Python scripts to automate manufacturing test processes. Preferred qualifications: Experience in manufacturing product testing, specifically collaborating with partners or contract manufacturers (original design manufacturer, original equipment manufacturer, joint design manufacturer). Experience developing diagnostic tools or automated test frameworks. Experience in SQL and database management, with data analytics skills to interpret datasets and drive actionable manufacturing insights. Understanding of hardware debugging and test engineering principles to ensure seamless production quality. Understanding of software system architecture and the full development lifecycle, ensuring scalable and maintainable code. Proficiency in operating system configuration and scripting, with a primary focus on Linux environments. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. As a part of the Global Manufacturing Operations team, you will be responsible for providing the manufacturing capability to deliver physical infrastructure.As a Test Development Engineer, you will evaluate the product designs, develop and maintain the various test scripts or tools to support every Google Cloud infrastructure product in manufacturing. You will help Google to deliver the highest quality product with the most advanced and intelligent manufacturing test solution across the global manufacturing facilities.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Resolve critical test software issues rapidly to mitigate manufacturing downtime, while enhancing and maintaining test scripts and software to integrate new features, firmware upgrades, and process optimizations. Collaborate with contract manufacturer and joint design manufacturer stakeholders to validate and deploy test scripts across various manufacturing environments. Drive product reliability by conducting root cause analysis on system test failures to implement corrective and preventive actions, architect internal tools and systems to automate manual workflows and significantly boost team productivity. Coordinate with New Product Introduction (NPI) teams to facilitate comprehensive handovers of test scripts, ensuring seamless transitions from design to mass production. Deploy mandated cybersecurity protocols and requirements within the manufacturing test environment to support security initiatives. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.Note: Google's hybrid workplace includes remote roles.Remote location: Thailand.Minimum qualifications: Bachelor's degree in Mechanical, Industrial, Process, Manufacturing Engineering, a related discipline, or equivalent practical experience. 5 years of relevant manufacturing process and product development experience for thermal (air/liquid cooling)/mechanical parts for networking/server products. Experience with manufacturing best practices (Lean, Six Sigma, etc), Design for Excellence (DFX), and production line development. Experience with metals processing such as machining, brazing, soldering, skiving, zipper fin stamping, etc. Preferred qualifications: Master's degree in Industrial, Mechanical, Manufacturing Engineering or a related discipline. Experience with thermal designs and simulations. Experience delivering high volume manufacturing solutions, resolving issues, and leading yield improvements and cycle time reductions for complex parts and assemblies. Experience with thermal/mechanical manufacturing processes including tooling/fixturing and production line development. Ability to influence the product design process by proposing improvements with data. Excellent communication skills, and ability to collaborate with multi-geo teams on projects spanning multiple technologies. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Be responsible for developing manufacturing strategy, performing DFX driving implementation of manufacturing solutions for thermal assemblies. Research, develop and qualify advanced thermal manufacturing solutions to ready the supply chain for future product requirements. Drive continuous improvement initiatives to enhance manufacturing processes and product designs. Identify process, tooling, and automation opportunities to support high volume manufacturing with quality, reduced cost, and performance repeatability. Provide front line support for manufacturing and field quality issues, owning resolution of manufacturing/supplier issues and driving design issues cross-functionally. Drive concurrent engineering through effectively communicating design, process, tooling and material changes to manufacturing partners and design engineering peers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Mechanical Engineering, Industrial Engineering, Electrical, or equivalent practical experience. 5 years of experience with configuration/systems engineering and related system assembly, including Bill of Material (BOM) structure and product configuration management. Experience in using technical productivity tools such as Product Data Management (PDM)/Product Lifecycle Management (PLM) tools (e.g., Windchill, Agile), CAD 3D modeling tools (e.g., Creo, Solidworks). Preferred qualifications: Experience in developing and maintaining system level compute architectures, with an understanding of interdependencies from a power, networking, and physical interface perspective. Ability to proactively influence the product design process for design for manufacture and assembly considerations. Excellent attention to detail, investigative, and organizational skills, with the ability to produce a timely and accurate work product. About the jobGoogle's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. As a Configuration Engineer within Manufacturing, you will join the team responsible for designing and delivering efficient and capable system configurations to Google’s data center fleet. You will collaborate with cross-functional teams to deliver configuration engineering designs, working with stakeholders and customers to ensure that the team delivers well-engineered compute permutations. In this role, you will help Product teams deliver consistent results while improving process transparency and predictability. You will be a subject matter expert on the incumbent process and data structures, and influence and affect the transformation of internal business processes and procedures. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Design and create system-level deployment configurations (e.g., rack, rack payloads) for compute and networking assemblies based on customer and technical infrastructure requirements. Create design documentation (e.g., BOMs, payload layouts, wiring diagrams) for approved production definitions for compute and networking systems. Provide technical knowledge and system-level guidance to internal Design and Development teams to ensure deployment of optimized configurations. Participate in and contribute to cross-functional transformation efforts as pertinent to configuration engineering processes and deliverables. Provide engineering and manufacturing guidance to integration supply chain partners, as it pertains to rack configuration and deployment activities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

This vacancy is open for talent pool collection. We will contact you if we have proper vacancies that fit with your profile.Job MissionCalibrate, qualify and install ASML's products according to the highest quality standards and world class delivery performanceJob DescriptionFinal assembly of YieldStar systems in cleanroom environmentPerform system calibration and qualification through functional testingInstall YieldStar systems at customer locations, from unload components, build to Site Acceptance Test (SAT), including equipment with new featuresRepresent ASML at the customer site in a professional wayTake responsibility for system progressProvide first line technical support on integration of systems, in order to minimize impact on production outputPoint out recurring problems during assembly, calibration and qualification and contributes to their solutionInterface with internal customers on technical issues and improvement proposalInterface with own work center, Manufacturing Engineering and Development and Engineering on complex technical reduction issues and New Product IntroductionTransfer knowledge and train colleagues on existing and newly introduced productsContribute to continuous improvement activities with technical expertise on both products and (SW) toolingEducationBachelor degree/Master degree in technical domain (e.g. mechanical engineering, mechatronics, electrical engineering, physics)ExperienceExperience with mechanics and electronicsExperience with computer systems and test softwareExperience or proven affinity with functional testing and troubleshootCapable of logging the progress of the workflow and the interruptionsFollow up on actions and give feedback on taken actionsPersonal skillsAbility to work in a multi-disciplinary team within a high tech(proto) environmentFlexibility to work in shifts and weekends, work overtime when neededDrive for continuous improvementDrive to share knowledge and train colleaguesAccuracy within the job, the job environment and the work flowWith a customer focus for understanding, influencing and supporting themAwareness of various cultures and their differencesDiversity and inclusionASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

Introduction to the jobThe Manufacturing – Technical Support Senior Competency Engineer plays a critical technical leadership role within XT (DUV) manufacturing operations in Linkou, serving as a senior system-level technical authority and issue owner for complex, high-impact, and recurring production disturbances across mature XT (DUV) platforms.The position drives technical assessments, troubleshooting strategies, and technical decision-making under production pressure, while acting as a technical control tower that integrates inputs from Development Engineering, Manufacturing, and Technical Support teams to enable structured problem-solving, effective escalation handling, and factory-level technical alignment.Due to the nature of factory operations and escalation support, this role requires participation in rotating shifts, including evening shifts up to 01:00. Detailed shift arrangements are described in the Other Information – Shift Pattern section below.Role and responsibilitiesTechnical Leadership and System-Level Decision MakingLead XT (DUV) -related technical assessments during daily passdown, DRB (Disturbance Review Board), and escalation meetings.Act as technical decision owner for complex, cross-domain XT system issues under production pressure.Consolidate technical findings, risks, and recommendations into clear, management-ready conclusions.Issue Ownership and Escalation ManagementOwn high-impact, recurring, and long-duration disturbances impacting XT manufacturing output, quality, or delivery.Coordinate cross-functional resources across Development Engineering, Manufacturing Engineering, Technical Support Engineers, and Production Engineers.Identify escalation triggers, risk exposure, containment actions, and prevention strategies to minimize downtime and prevent issue recurrence.System-Level Analysis and Knowledge DeploymentPerform system-level and structural analysis to identify root causes and systemic gaps.Drive the development, validation, and deployment of Best-Known Methods (BKM).Ensure improvements are standardized and sustainably implemented across XT manufacturing lines.Technical Coaching and Factory AlignmentProvide technical guidance and problem-solving methodology coaching to peers.Support management decision-making through clear, data-driven technical communication.Ensure technical decisions align with factory targets, quality standards, and long-term XT system robustness.Cross-LineIntegration and Operational SupportLeverage XT manufacturing insights to prevent repeated disturbances across shifts, lines, or factories.Respond rapidly to customer feedback, quality notifications, and urgent XT-related production issues.Support factory and businessprioritiesthrough rapid, structured technical assessments.Required QualificationsBachelor’s degree or above in Engineering or related disciplines.8+ years of experience in semiconductor, electronics, or precision equipment industries.Experience acting as a senior technical contributor, issue owner, or technical focal point in production or system environments.Strong ability to structure complex problems, assess risk, and drive technical decisions under time and production pressure.Good English communication skills for technical discussion, reporting, and escalation meetings.Preferred QualificationsExperience with semiconductor equipment platforms.Background in 1st-line or 2nd-line technical support, manufacturing engineering, or system-level roles.Experience handling escalations, recurring disturbances, or long-duration production issues.Experience leading technical projects, mentoring engineers, or acting as a technical lead is a strong plus.Familiarity with structured RCA, change management, or continuous improvement initiatives.Other InformationShift Pattern 50% Day shift (08:00–17:00) and 50% Night shift (16:00–01:00)The role follows a three-week rotation between day and night shifts.Overtime: Weekend on-call or office overtime based on production needs.Business trip: Emergency customer on-site support. (around 10%)Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.