Cari Lowongan

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: Zhubei, Zhubei City, Hsinchu County, Taiwan; New Taipei, Banqiao District, New Taipei City, Taiwan.Minimum qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. 5 years of experience in program management. 5 years of experience in scripting languages, specifically Python, for data manipulation, statistical analysis, and task automation, including building and maintaining automated data pipelines (ETL/ELT) to ensure data quality and availability. Experience in overseeing the delivery of data-driven or technical initiatives. Preferred qualifications: Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field. 5 years of experience in semiconductor manufacturing and testing. Experience in manufacturing, quality, reliability, or product engineering related industries. Experience in advanced data visualization tools like Looker, with a focus on creating insights and executive-level dashboards. Experience overseeing the AI/ML lifecycle, including the deployment of machine learning models into production and the continuous monitoring of their performance to ensure long-term reliability. Familiarity with cloud platforms (e.g., Google Cloud Platform (GCP)) and their native data warehousing solutions. 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. Responsibilities Develop and implement data-motivated solutions to improve custom silicon assembly and test manufacturing efficiency, yield, and product quality. Utilize statistical analysis and machine learning techniques to analyze large datasets of semiconductor production data, identify trends, and predict potential issues. Create automated data pipelines and dashboards to monitor Key Performance Indicators (KPIs) and provide real-time insights to stakeholders. Collaborate with cross-functional teams to gather data requirements, develop data analysis strategies, and communicate findings effectively. 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.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; Taipei, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages (e.g., C or C++). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience developing Android in multimedia domains (e.g., display, graphics, video, camera, etc.). Experience in cross-functional feature development. Experience with embedded systems. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Pixel System software works closely with Android Platform, Pixel Hardware, gChips, and external partner teams to bring the best of Android to users, on Google’s Pixel phones and tablets.Within Pixel System software, our display team is responsible for all things display for Pixel devices, across Google Tensor (Google's in-house mobile System on Chip) and display panels, from innovative features, power, performance, to color management and image quality enhancement.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 Drive complete development cycles of new Pixel display projects, from requirements and design through implementation and establishing test plans. Own and develop modules in Pixel hardware abstraction layers (HALs), kernel drivers, and bootloader drivers. Design and implement features such as variable refresh rate, color management and calibration, HDR, image enhancement methods, etc. Collaborate closely with Android platform teams on enabling new Pixel devices, with SurfaceFlinger, Graphics, Video, Camera, Windows/Display Manager, etc. Elevate users’ experiences by developing the team’s infrastructure, keeping code quality high and implementing tools like telemetry to guide future software and hardware efforts, and persistently enhance the quality of our works, and the workflow. 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; New Taipei, Banqiao District, New Taipei City, Taiwan.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. 2 years of experience in test engineering or product engineering. Experience in ATE test development for New Product Introduction (NPI) or High Volume Manufacturing (HVM). Preferred qualifications: 5 years of experience in semiconductor manufacturing and testing. 3 years of experience managing cross-functional or cross-team projects. Experience with SoC and Power Management Integrated Circuit (PMIC) productization, with an understanding of SoC Automated Test Equipment (ATE) test methodologies, including test flow development, test coverage analysis, and fault diagnosis. Understanding of supply chain and lean manufacturing principles. 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. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.Responsibilities Oversee manufacturing production and integrated yield. Manage Outsourced Assembly and Test (OSAT) to oversee assembly and test production flow. Help with daily management of production. Drive improvement of production yield and test time through continuous improvement process. Be involved in yield improvement and costs reduction while maintaining excellent product quality. 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.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 or equivalent practical experience. 5 years of experience in program or project management. 5 years of experience in managing SoC semiconductor manufacturing, and consumer hardware supply chain. Experience in making semiconductor production supply plans. Experience managing semiconductor vendors. Preferred qualifications: Experience with advanced supply chain visualization tools (e.g., Kinaxis, e2open, SAP). Experience mentoring junior planners or leading large-scale, cross-functional supply chain transformation initiatives. Understanding of Foundry and OSAT ecosystems, and how sub-component lead times impact the overall SoC assembly cycle. Ability to articulate complex supply chain scenarios into logical, simplified narratives for executive leadership and decision-making. 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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. Responsibilities Architect and oversee the mass production (MP) supply chain for system on a chips (SoC); drive seamless material flow for critical sub-components (substrates, DRAM, IPD) to ensure readiness aligns with assembly schedules while proactively mitigating capacity risks and shortages. Lead cross-functional synchronization between upstream or downstream planners, sourcing, and engineering to optimize material arrival and minimize inventory buffers. Enforce vendor excellence by monitoring performance against rigorous quality and delivery Key Performance Indicators (KPI), and drive deep-dive root-cause analysis for any supply disruptions. 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; New Taipei, Banqiao District, New Taipei City, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software programming languages (C/C++, Python) and application processor development. Experience with AI/ML workloads, including prefill, decode, and multimodal processing steps in LLM (Large Language Model). Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, next generation memory systems, or AI hardware accelerators. Experience with power and performance modeling and activity profiling using traces from power measurements and performance monitoring counters. Experience influencing silicon or memory roadmaps through high-fidelity performance projections of emerging technologies. Experience with ML frameworks (e.g., PyTorch, JAX, TensorFlow). Experience with SQL for data querying and analysis. 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 Senior System Architect within the Silicon team, you will work on GenAI use cases across hardware and software. You will be responsible for modeling and analyzing trade-offs for on-device vs. cloud AI execution of Gemini AI models. This role is critical in influencing the hardware and software roadmaps for SOC, AI accelerator, and new memory technologies.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 Model and estimate power and performance for next-generation SoC and memory technologies. Optimize hardware and software architectures for future GenAI use cases. Measure and compare on-device AI and cloud AI to provide guidance for Hybrid AI development. Support emerging technology initiatives with alignment across silicon process, IP design, Android OS, and Gemini model teams. 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.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 Communications, Electrical Engineering, or a related field or equivalent practical experience. 5 years of experience in software development and protocol stack engineering (e.g., RRC) and coding in C/C++/Python. Experience with cross-layer collaboration (e.g., L1/L2/NAS). Preferred qualifications: Experience in NAS or L2 protocols. Experience in full-stack engineering, backend (Java/Python/Go/C++) and frontend (JavaScript/TypeScript/HTML/CSS). Experience in practical AI or LLM mechanisms for process or performance improvement. Experience with SQL and Spanner. Knowledge of Python and TypeScript. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As a Modem Firmware Engineer in the Pixel Mobile Wireless (PMW) team, you will design, develop, and optimize the RRC protocol stack. It covers:Research of RRC layer featuresAnalysis of RRC layer issuesAI-based tool developmentCall performance analysisYour work will span across upper layers (e.g., NAS, RIL, IMS), lower layers and infrastructure teams ensuring product quality and robust performance. You will also be responsible for the core AI-related automation or tool design and deployment.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 Develop modem software and verify end-to-end  modem feature functionalities and performance for RRC (Radio Resource Control) protocol. Solve complex system-level problems related to mobility, data performance, and improve Pixel product user experience. Identify key performance scenarios and reproduce the scenario in the lab environment for further research and development for more optimized solutions.  Debug, analyze and fix modem issues from factory, certification (GCF/PTCRB/IOT), field and end users. Closely work with vendors and solution providers on modem protocol design and optimization. Optimize process by using AI-related strategy, including but not limited to issue analysis automation, and testing automation. 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.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 functional verification, performance validation, developing test plans and diagnostic codes of modern processors. Experience with processor microarchitecture. Preferred qualifications: Master degree in Electrical Engineering, Computer Science or related fields. Experience with UVM, SystemVerilog, or other scripting languages such as Python, Perl, Shell, Bash, etc. Experience with ARM Instruction Set Architecture. Knowledge of general purpose operating systems such as Linux and Android. 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. 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 Design verification for future CPU developments. Build functional verification infrastructure, the infrastructure will include unit, multi-unit, core, and subsystem level verification environments. Produce diagnostic code repositories that sufficiently enable production of quality CPU’s. Verify and validate performance for both pre-silicon and post-silicon. 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.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 or Computer Science, emphasizing in Computer Architecture, or equivalent practical experience. 4 years of experience in microprocessor architecture, microarchitecture, performance, or advanced CPU design. Experience with C/C++ and scripting languages (e.g., Python). Experience in CPU architecture, performance modeling, analysis, correlation, and workload characterization. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing in Computer Architecture or Machine Learning. Experience in CPU/ML microarchitecture exploration, performance model development, performance analysis, performance correlation, or workload characterization. Knowledge of microprocessor instruction set architecture (e.g., ARM, RISC-V, x86). Familiarity with system software components, such as Linux, drivers, and runtime. About the jobAs a CPU Performance Architect, you will be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and deliver Google’s advanced SoC products. You will collaborate cross-functionally with Android Applications and AI teams to conduct applications and benchmark performance analysis and to project their performance at various design phases. You will be guided by architects and work with engineers in Power, Thermal, Security, and Physical Design teams to determine the CPU subsystem configuration and features.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 Develop and modify a performance model for performance analysis and microarchitecture study. Evaluate Advanced RISC Machine (ARM’s) architecture features from both architecture and performance angles. Define and write CPU subsystem architecture specifications. Collaborate with Register-Transfer Level (RTL), design verification, and physical design teams to develop a high-performance and efficient CPU implementation. Manage performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage. 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.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, a related field, or equivalent practical experience. 8 years of experience with computer architecture concepts, including micro architecture, cache hierarchy, pipelining, and memory subsystems. 3 years of experience working with Mobile or Embedded SoCs architecture or use case system design. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science. 5 years of experience working with Mobile or Embedded SoCs related to system design to improve use case level power and performance. Experience driving system architecture decisions across SW/HW teams within an organization to build up the consensus and translate ideas into architecture specifications. Experience with Android Architecture, Mobile SoC architecture, ML architecture, Computer Architecture, PPA trade-offs. Knowledge of interactions between software and HW IP blocks, general and special purpose compute units. 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 part of the Platform System Architecture team, you will leverage the expertise in computer and AI/ML architecture, Power, Performance, and Area (PPA) trade-offs, mobile SoC AI/ML workloads analysis, ability to traverse across the Software (SW)/Hardware (HW) stack to influence IP and SoC architecture for the Tensor SoC to bring in the latest AI/ML user experience on Pixel devices.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 Influence Tensor SoC architecture decisions for PPA working cross-functionally with SW/HW architects, design teams, and research teams to enable the industrial best user experience on Pixel phone devices empowered by the latest and the most advanced Generative AI technologies provided by Google research. Leverage a data driven approach through profiling, simulation and modeling, drive consensus around architectural decisions across the entire silicon organization to solve system design problems. Be the primary owner of the architecture specifications, system design documentation, workload analysis, modeling and projection to influence and define future SoC architecture. 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.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, Mechanical Engineering, Materials Science, Chemical Engineering, related degree or equivalent practical experience. 10 years of experience in the semiconductor industry. 5 years of experience managing IC qualification, production releases, and system-level testing, with a focus on data review, yield enhancement, and test time. Experience with integrated circuit (IC) testing, and in Yield and Bin Pareto analysis. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, or related degree. Experience in semiconductor processing, VLSI product or test engineering, with SLT, and using the advantest platform. Experience with ATE platforms (Teradyne UltraFlex SoC and Advantest 93K), with knowledge of high-speed interfaces (DDR, PCIe, SERDES). Understanding of design for testing (DFT) methodologies, including memory BIST, JTAG, Scan/ATPG, and testing for PVT and temperature sensors. Understanding of advanced packaging technologies such as InFO and 2.5D. Ability to utilize data analysis tools (O+, Datapower, or JMP). 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. In this role, you will develop and deploy comprehensive automatic test equipment (ATE) solutions for high-volume manufacturing at Fabrication Plants (FABs) and Outsourced Semiconductor Assembly and Test (OSATs). You will integrate SoC technologies into devices and facilitate ATE testing to validate performance and screen units. You will lead all testing aspects, collaborating with cross-functional teams to ensure optimal production coverage and high-quality SoCs.You will develop digital and mixed-signal tests, automation methodologies, and internal tools for test program management. Additionally, you will release cost-effective test solutions into mass production.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 Design, implement, and manage Integrated Circuit (IC) product bring-up, verification, and characterization programs for NPI, including ATE test programs, load boards, and probe cards using ATE platforms such as UFLEX or 93K. Collaborate with vendors and internal teams to engineer high-volume ATE manufacturing solutions tailored for advanced packaging. Execute product and Defective parts per million (DPPM) correlation between ATE and system-level environments for new products. Enhance test coverage and resolve various failure modes via troubleshooting on ATE and System Level Testing (SLT) systems. Direct production sustaining activities, including program upgrades, yield optimization, test time reduction, lot disposition, and Return Merchandise Authorization (RMA) analysis. 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.