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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; Taipei, Taiwan.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). 3 years of experience in software focused program/project management and in the business technology market and working with engineering, sales and marketing teams in networking. Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in the TV/CE/embedded space. Experience working with embedded devices, consumer electronics (CE) manufacturers, SoC providers, or pay TV operators. Familiarity with Android TV or similar TV platform architecture. Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners. About the job The Device Operations and Partner Engineering team for YouTube's goal is to ensure the best possible user experience for YouTube products on any connected devices. This is accomplished by driving operational excellence, at scale, for the entire device partner experience. As Partner Engineers, we deliver technical solutions and tools to empower internal teams and our partner teams worldwide.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical issues. Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration, both new and ongoing, by providing necessary documentation and technical guidance. Identify, drive, and optimize the business flow from existing and new business opportunities by leveraging YouTube technologies. Work closely with our SoC partners in the region to accelerate and improve YouTube integrations on new chipsets. 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 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: Zhubei, Zhubei City, Hsinchu County, Taiwan; Taipei, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 2 years of experience in semiconductor failure analysis or a related process engineering role. Experience with standard failure analysis lab equipment (e.g., Curve Tracer, Focused Ion Beam (FIB), Scanning Electron Microscope (SEM)). Preferred qualifications: Experience with Chip-on-Wafer-on-Substrate (CoWoS) packaging, interconnect analysis or stress diagnostics. Experience with advanced diagnostics tools (e.g., Utilize scan diagnosis, Automatic Test Pattern Generation (ATPG)), and memory Built-In Self-Test (BIST) tools for fault isolation. Experience with CPU/TPU specializations, diagnosing architecture-specific symptoms including cache bit flips, scanning chain issues, and Serializer/Deserializer Input/Output (SerDes I/O) failures. Experience with stress diagnostics. Knowledge of semiconductor device physics, transistor operation (e.g., Fin Field-Effect Transistor/Gate-All-Around Field-Effect Transistor (FinFET/GAA)), and fabrication processes. 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 help to build the System-on-a-chip (SoCs) that power these facilities by driving quality and reliability processes in High Volume Manufacturing (HVM) from an Integrated Circuit perspective. You will partner with cross-functional teams to develop HVM quality and reliability specifications while collaborating with global hardware teams, silicon design, validation, and engineering groups to ensure fleet excellence.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 Perform end-to-end electrical and physical failure analysis on Central Processing Unit/Tensor Processing Unit (CPU/TPU) devices from prototype stages through manufacturing. Utilize advanced hardware and software techniques, such as Emission Microscope (EMMI) and Optical Beam Induced Resistance Change (OBIRCH), to localize defects within reasoning and memory blocks. Execute destructive techniques including delayering, cross-sectioning, and high-resolution imaging (e.g., Scanning Electron Microscope (SEM), Transmission Electron Microscope (TEM), Focused Ion Beam (FIB)) to visualize and identify physical defects. Partner with design, product, and foundry teams to interpret failure data and implement actions for design or process improvements. Generate Failure Analysis (FA) reports and develop novel workflows tailored for advanced technology nodes and three-dimensional (3D) packaging architectures. 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: 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 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; Taipei, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 2 years of experience in test engineering or product engineering. 2 years of experience with industry-standard tools, languages, and methodologies relevant to the development of silicon-based ICs and chips. Experience in ATE test development for New Product Introduction (NPI) or High Volume Manufacturing (HVM). Preferred qualifications: Master’s in Electrical Engineering, Computer Engineering, Computer Science, or related field. 8 years of experience in test engineering or product engineering. Experience with Scan/ATPG, Memory BIST (MBIST), or High-Speed I/O (HSIO) ATE testing, including ATE board and socket debugging. Knowledge of Automatic Test Equipment (ATE) platforms such as Advantest V93K or Teradyne UltraFlex. 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 help build the Systems on Chip (SoCs) that power these data centers by developing and deploying test solutions with Automated Test Equipment (ATE) for high-volume manufacturing at wafer fabrication sites and outsourced semiconductor assembly and tests (OSATs). This is an opportunity to create silicon and follow it into the field to close the loop back to design and test for the next generation of chips. You will drive ATE manufacturing testing to validate performance and screen defective devices. You will own all aspects of ATE testing—including wafer sort, final test, and burn-in—and work with cross-functional teams to ensure optimal test coverage in production for high-quality SoCs.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 implement strategies for manufacturing test of SoC products, including troubleshooting, test coverage optimization, defective parts per million (DPPM) reduction, and power and performance assurance. Participate in ATE test deployment and optimization for High Volume Manufacturing (HVM), working with the NPI product development and test team, vendors, and HVM product engineering. Collaborate with cross-functional teams globally, including ATE and SLT Test Engineering, Packaging, Supplier Management, and Operations, to build, deploy, and maintain an HVM screening solution. 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.

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; 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.