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Req ID: 133328Remote Position: NoRegion: AmericasCountry: MexicoState/Province: Nuevo LeonCity: MonterreyGeneral OverviewJob Title: Engineer, Test ManufacturingFunctional Area: Engineering (ENG)Career Stream: Test Engineering Manufacturing (TEM)Role: Engineer (ENG)Job Code: ENG-ENG-TEMJob Band: 07Direct/Indirect Indicator: IndirectSummaryThe Engineer, Test Manufacturing accepts, transfers, installs, improves and maintains automatic test equipment and test programs that are used for product testing and design verification. They also may support the test development of the test equipment and processes to ensure robust and high quality test solutions and final products are realized.Detailed DescriptionPerforms tasks such as, but not limited to, the following:• Under supervision and with minimal assistance define, specify, qualify, install, support and optimize test process and test equipment solutions for manufacturing. • Lead test process optimization, with a focus on productivity improvements to cycle time and yield for a specific set of equipment within an Operations value stream • Debug of test process and equipment solutions using design of experiments, tools, and failure analysis methodologies• Collaborate with Quality, Process and Equipment engineers to detect and solve product and test yield and performance issues• Develop improvement roadmaps for test coverage, diagnosability, reparability, test time reductions and OEE• Analyze and interpret data and information from yield reports and equipment logs and product diagnostics to determine sources of yield loss• Provide solution support to process engineers to improve detection of known defect types as part of a Process Control plan• Support development of test equipment integration into Manufacturing Execution Systems including yield, tester log and product parametric information.Knowledge/Skills/CompetenciesRefer to technical skills belowPhysical Demands• Duties of this position are performed in a normal office environment.• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.• Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.• Occasional travel may be required.Typical Experience• 1 to 3 years.Typical EducationBachelor degree or consideration of an equivalent combination of education and experience.Educational Requirements may vary by GeographyNotesThis job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.COMPANY OVERVIEW:Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Global Wafers has an opening for a Materials Failure Analysis RD Engineer/Scientist to support materials development and failure analysis activities related to silicon crystal growth and semiconductor manufacturing. This role focuses on hands-on materials characterisation, high-temperature furnace testing, and collaboration with internal teams and external suppliers to ensure materials and quartz ware meet performance and quality requirements.In this position, he/she will work closely with RD, manufacturing sites, and vendors to investigate material behaviour, identify failure root causes, and translate analytical results into clear technical recommendations. Minimal travel is expected.Key Responsibility:1. Perform materials characterization and failure analysis to support silicon crystal growth, quartz ware evaluation, and manufacturing needs.2. Plan and execute high-temperature furnace tests and related characterization of new materials and crucible products.3. Apply a range of analytical techniques to determine root causes of material or process issues and communicate analysis results through technical reports and presentations to internal and external stakeholders.4. Work with existing and new suppliers to evaluate materials, align product performance with internal specifications, and support vendor qualification.5. Support RD, manufacturing, and field teams by advising on analysis approaches and contribute to the development of new failure analysis methods, laboratory capabilities, and equipment selection.6. Train and supervise laboratory technician(s) as required and maintain a safe working environment.Skill requirement:1. Master or above in Materials Science, Physics, or Electrical Engineering.2. Familiarity with semiconductor materials, materials processing, and characterisation techniques.3. Knowledge of silicon Czochralski crystal growth, quartz crucible materials, and high-temperature material interactions is desirable.4. Data analysis, problem solving and communication skills while working alone or in large teams

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Mechanical Engineering, Product Design, a related field, or equivalent practical experience. 3 years of experience in structural mechanics and Finite Element Analysis (FEA) simulation (static and dynamic), and material non-linear mechanics including plasticity, viscoelasticity, hyperelasticity, and material failure damage mechanics. 3 years of experience in using simulation tools (e.g., Siemens'NX, Creo, Hypermesh, Abaqus) and testing including tensile, compression, shear, quasi-static, and dynamic. Preferred qualifications: 3 years of work experience on handheld/wearable/mobile/consumer electronics devices. Experience in biomedical human to device interaction. Disciplined use of good modeling practices including model validation techniques. About the jobAs a member of a fast-paced multi-disciplinary team, you use your creativity and range of engineering experience to explore solutions to a variety of engineering problems. As a mechanical engineer, you participate in the design, analysis, and prototyping of new concepts. You work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture. Google's-Taiwan Simulation Center of Excellence Structural Analysis Group delivers technologies needed to enable Devices and Services group’s next-generation iconic mobile device designs. It is responsible for creating a goal for product lines, planning road maps, and aligning technology development to meet product/customer needs. We focus on high-value problems, accelerate the availability of enabling solutions for these problems by creating the necessary technologies and collaborations. In this role, you will identify, develop and implement novel designs, materials, manufacturing, simulation and test solutions, specifically how materials work, developing analytics and experimental techniques to predict/measure their behavior under the relevant conditions that we impose in our devices. Your goal is to transition nascent technologies from inception, through feasibility, and final certification to a product-ready level of maturity.The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.Responsibilities Generate FEA/analytical models of mechanical parts, modules, and assemblies. Perform static, dynamic, structural, and thermal-mechanical analysis. Own and drive material characterization and testing plans to support modeling efforts. Own, drive, and execute consistent methods of modeling and analysis of modules/system level across programs. Drive failure analysis, root cause efforts, and design of experiments to resolve difficult problems. 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.

Astera Labs is a global leader in purpose-built connectivity solutions that unlock the full potential of AI and cloud infrastructure. Our Intelligent Connectivity Platform integrates PCIe®, CXL®, and Ethernet semiconductor-based solutions and the COSMOS software suite of system management and optimization tools to deliver a software-defined architecture that is both scalable and customizable. Inspired by trusted relationships with hyperscalers and the data center ecosystem, we are an innovation leader delivering products that are flexible and interoperable. Discover how we are transforming modern data-driven applications at www.asteralabs.com. Job Summary We are seeking a student intern to drive product quality improvements across both Astera Lab’s semiconductor and board-level products. In this role, the candidate will perform failure analysis for customer returns. The candidate will also compile 8D reports to communicate the analysis findings to the customers. Key Responsibilities Perform system-level test for the customer returns on a bench in the lab. Review ATE test log files. Work with third-party labs to perform electrical FA (EFA) for more in-depth analysis. Log analysis results to the portal system daily. Work with internal teams and suppliers to drive product quality improvements. Write up analysis reports to provide updates to the customers. Participate in the meetings with customers to present the technical findings. Bring up and validate new test equipment in the lab. Update the lab inventory list. Perform additional tasks assigned by the Director of Field Quality Engineering.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Role Overview Astera Labs is seeking a Quality Engineer to join our Product Quality Engineering team in San Jose, CA. This is an exciting opportunity for an early-career engineer to dive into the heart of AI infrastructure connectivity, working hands-on with cutting-edge semiconductor devices that power the world's most advanced data centers. In this role, you will be instrumental in driving root-cause analysis of failures across circuit, package, firmware, and protocol layers — directly impacting the reliability and quality of our PCIe and Ethernet connectivity solutions. You'll work with state-of-the-art lab instrumentation, build infrastructure to accelerate failure analysis, and collaborate across engineering disciplines to ensure Astera Labs continues to deliver best-in-class silicon to hyperscale customers. If you're passionate about high-speed SERDES, signal integrity, and solving complex hardware problems at the intersection of AI and connectivity, this is the role for you. Key Responsibilities Failure Analysis Root-Cause Infrastructure Enable and develop infrastructure such as databases to optimize and reduce time to root-cause failures in circuit, package, firmware, or protocol-level iterations Participate in the new product development process to enable improvements and capabilities for failure analysis Document product quality engineering processes and methodologies to ensure repeatability and scalability Lab Measurement Debug Perform measurements on high-speed SERDES, PCIe, and Ethernet devices to characterize and debug quality issues Set up and use advanced lab instrumentation including BERT, high-bandwidth oscilloscopes, protocol analyzers, VNAs, TDR, and spectrum analyzers to support debug and root-cause activities Cross-Functional Collaboration Collaborate with design, validation, hardware, and system engineering teams to resolve quality issues and drive continuous improvement Support cross-functional efforts to improve product reliability and manufacturing quality Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field Understanding of high-speed serial interfaces (PCIe, Ethernet, SERDES) Familiarity with lab instrumentation such as oscilloscopes, BERT, TDR, or spectrum analyzers Strong analytical and problem-solving skills Excellent documentation and communication skills Preferred Qualifications Internship or project experience in semiconductor quality, product engineering, or hardware validation Exposure to signal integrity concepts and high-speed measurement techniques Experience with database tools or scripting languages (Python, SQL) for data analysis and infrastructure development Familiarity with failure analysis methodologies in a semiconductor environment Knowledge of PCIe or Ethernet protocol specifications The salary range for this position is $120,000 to $140,000 depending on experience and education level. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience in silicon development, including post-silicon validation, product engineering, test engineering, or yield analysis. Experience leading a technical project or sub-team. Experience with embedded systems, firmware, or core software development environments (e.g., C, Python). Experience with semiconductor manufacturing methodologies, silicon test processes (e.g., ATE, SLT), and fault isolation techniques. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with delivering technical impact to launch silicon products into high volume manufacturing pipelines. Experience with the failure analysis and debug of complex Systems on Chip (SoCs). Experience with a broad range of compute platforms and SoCs (e.g., dedicated mobile or specialized AI processors). Experience applying AI/ML models, statistical methods, and data analysis for silicon yield optimization. Excellent problem-solving, people management, and written and verbal communication skills. 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. We are seeking a highly motivated and experienced Silicon Engineer to drive our Volume Production and Yield efforts. In this pivotal role, you will be the primary technical owner for the transition of our silicon designs into high-volume factory manufacturing, delivering screening packages to factory partners and driving continuous silicon yield monitoring, failure analysis, voltage margin characterization, and improvement across the product lifecycle. You will leverage AI-driven data analytics and machine learning techniques to optimize yield, accelerate failure debug, and enhance overall silicon quality.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Provide technical guidance and expertise for volume productization and post-silicon yield enhancement. Define and deliver silicon screening packages to factory organizations. Execute and refine the silicon yield management strategy, leading failure analysis, root cause debug of limiters, and production data analysis. Leverage AI/ML tools to automate yield analysis and streamline failure debug. Engage with cross-functional partners (SiVal, Design, DV, PDTE, Operations, external factory teams) to meet stringent yield goals and resolve critical manufacturing challenges. Establish processes for screening package releases, data acquisition, and failure analysis protocols. Proactively identify risks and key opportunities for yield across the product lifecycle, from NPI through mass production. Communicate technical status, risks, and solutions clearly to cross-functional stakeholders and engineering leadership. 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.

Advanced Semiconductor Engineering, Inc. 2026 Taiwan Semiconductor Job Fair – Taiwan ASE is a primary architect of Heterogeneous Integration (HI) - the technology that integrates separately manufactured components into a higher level assembly (System-in-Package or SiP) that in the aggregate provides enhanced functionality and improved operational characteristics. HI is now the key technology in the advancement of integrated systems for greater intelligence and connectivity, higher bandwidth and performance, and lower latency and power per function, all at a more manageable cost. Market shifts in customer requirements as well as the advent of 5G wireless technologies have given rise to smart manufacturing and the acceleration of Industry 4.0 at ASE. Smart Factories represent the future of our industry and are an integral part of ASE’s business operations. Our strategy is to leverage on AI, Big Data and Smart Automation to achieve full digital transformation. We are moving ahead of our time by harnessing the power of smart manufacturing to increase productivity, add more value to the supply chain and strive for near perfection. We are opening 2 positions for International Talents in Taiwan!!! 1.Process Engineer Be part of one of the world's leading semiconductor packaging and testing companiesDOE plan output and process evaluationSPC process monitoring, data analysis, and parameter optimizationUPH, capacity, and yield improvement projects, and cost reduction initiativesDN/QDN/MRB/Low Yield production line issue handling, failure analysis, and preventive measure implementationBKM anomaly case sharing and improvement project presentation 2. Equipment Engineer Responsible for equipment setup, production line abnormalities and troubleshooting to ensure seamless production operations.Perform daily inspections, calibrations, and component replacement,implement preventive maintenance to effectively reduce failure rate.Monitor and optimize OEE, reduce unscheduled downtime to maximize machine utilization.Drive initiatives for production yield and quality enhancement to consistently achieve cost reduction targets.Conduct root cause analysis for equipment failures, establish exception tracking procedures and implement effective corrective actions.３. Product Test EngineerPerform yield analysis and identify improvement opportunities.Validate test programs and test methodologies.Ensure product quality and manufacturing efficiency.Develop, optimize, and support semiconductor testing processes.Conduct failure analysis and troubleshoot test-related issues.Collaborate with cross-functional teams to improve product performance and production reliability.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. 5 years of relevant hardware quality experience in data analytics, coding with SQL, creating dashboards using manufacturing assembly and test data, and product performance in customer base for consumer electronics, automotive or other commercial/industrial products. Experience in leading cross-functional teams, failure analysis for electrical/mechanical components, and manufacturing and assembly processes. Ability to travel domestically and internationally up to 25% of the time. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Industrial Engineering, Mechanical Engineering or equivalent experience. Six Sigma Blackbelt, American Society for Quality certification (CQE, CQM, CRE, or CQA) or equivalent certification/experience. 8 years of experience in a Manufacturing Engineering/Quality or Failure Analysis Engineering role in the Consumer Electronics Manufacturing area. Excellent understanding of factory related and customer related product quality/reliability metrics. Understands quality tools like measurement systems, process capability, control charts, geometric dimensioning and tolerancing, tolerance stack up analysis, ISO and audits. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Establish, deliver and maintain product quality standards, metrics, dashboards for HW/consumer products and services, leveraging existing tools and processes or developing new ones. Drive continuous improvements throughout the product life cycle, identify and drive projects to achieve generation over generation improvements. Partner with the Early Engagement and Design teams to identify risks in next generation products, and ensure lessons from previous designs are being addressed. Lead cross-functional teams on Quality initiatives, manage ambiguity, build consensus, be an outstanding communicator (both written and verbal), and influence at all levels of the company. Lead failure analysis investigation of product issues. Drive cross functional team and track associated workstreams with end to end ownership. Summarize critical findings for broad organizational consumption. Advocate for the customer to understand detailed implications of decisions and recommendations. 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.

USI Universal Scientific Industrial 2026 Taiwan Semiconductor Job Fair – TaiwanUSI (Universal Scientific Industrial Co., Ltd.) is a leading global electronics manufacturing services (EMS) and system integration provider under the ASE Group. The company specializes in advanced electronic design, miniaturized system integration, and high-reliability manufacturing solutions across computing, communication, consumer electronics, and industrial applications. USI focuses on delivering highly integrated system solutions (SiP, module design, and embedded systems) that enable faster product development cycles and greater functionality in compact form factors. By combining design capability with manufacturing expertise, USI plays a key role in bridging product innovation and large-scale production. In line with Industry 4.0 transformation, USI is actively advancing smart manufacturing, digital engineering, and automated production systems. Through data-driven process optimization and intelligent factory operations, the company continues to improve efficiency, quality consistency, and global supply chain responsiveness. USI engineering teams work across product design, process development, manufacturing engineering, and quality systems, collaborating closely with global customers to deliver reliable and innovative electronic solutions. With a strong focus on system integration and engineering excellence, USI continues to strengthen its position in the global EMS and SiP market. We are opening 7 positions for International Talents in Taiwan!!!1. Equipment Engineer Be part of one of the world's leading semiconductor packaging and testing companiesDOE plan output and process evaluationSPC process monitoring, data analysis, and parameter optimizationUPH, capacity, and yield improvement projects, and cost reduction initiativesDN/QDN/MRB/Low Yield production line issue handling, failure analysis, and preventive measure implementationBKM anomaly case sharing and improvement project presentation2. Manufacturing Engineer Be part of one of the world's leading semiconductor packaging and testing companiesDOE plan output and process evaluationSPC process monitoring, data analysis, and parameter optimizationUPH, capacity, and yield improvement projects, and cost reduction initiativesDN/QDN/MRB/Low Yield production line issue handling, failure analysis, and preventive measure implementationBKM anomaly case sharing and improvement project presentation ３. Testing Engineer Develop and execute product testing processesValidate product functionality and reliabilityAnalyze test failures and drive process improvement 4. Test Development EngineerDevelop automated test systems and test platforms Design and integrate test programs and hardware/software solutions Improve test efficiency, coverage, and accuracy 5. Quality EngineerManage product and process quality control Handle defect analysis and customer complaints Implement corrective and preventive actions (CAPA) 6. Software Development EngineerDevelop manufacturing systems and automation tools Support smart factory and data integration initiatives Drive digital transformation and system optimization 7. Hardware Development EngineerDesign and develop hardware modules and systems Perform circuit design, prototyping, and validation Collaborate with manufacturing teams to ensure mass production feasibility

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Engineering (e.g., Quality, Electrical) or equivalent practical experience. 5 years of experience in quality, reliability, product, or test engineering, specifically focused on DRAM technologies (e.g., DDR and LPDDR components, and DIMM modules). Ability to travel up to 20% of the time as needed. Preferred qualifications: Master’s degree in Quality or Electrical Engineering, or equivalent practical experience. 7 years of experience in quality, reliability, or product engineering with technical focus on DRAM nodes and high-density DIMM architectures. Auditor experience in quality management systems, fab, assembly or test. Proficiency in statistical data analysis. Experience extracting, analyzing, and building predictive quality models from factory test logs and fleet telemetries. Understanding of error correction and reliability features in advanced computing systems. Ability to align hardware failure mechanisms to specific mitigation strategies. Ability to interpret system-level failure symptoms and map to RCCA. 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. As a Memory Supplier Quality Engineer, you work in collaboration with Suppliers, Hardware Designers, Commodity Managers, Manufacturing Engineers, and Data Center teams. You will set and manage Memory component quality and reliability standards, drive supplier factory certification audits, and lead component and manufacturing site qualifications. You will actively manage NPI and sustaining quality, continuous improvements, and ensure lessons learned are actioned back to suppliers and partner teams. You will drive true root cause failure analysis and systemic corrective actions with comprehensive preventative actions. You will extract and analyze data from supplier facilities, Google production lines, and Google data centers to verify performance and drive improvements.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.ResponsibilitiesManage the end-to-end quality, reliability, and qualification of memory components and modules from introduction through product discontinuation across varied server platforms.Establish field reliability metrics and predictive failure rates for memory components deployed across the computing fleet based on operational telemetry and workload stresses.Influence memory suppliers and contract manufacturers while providing on-site technical factory support during critical hardware quality crises.Drive rapid containment of fleet and factory issues using rigorous root cause corrective action and failure analysis methodologies.Partner with cross-functional design and manufacturing teams to implement advanced quality plans and proactively mitigate global supply chain risks.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.