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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: 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. 4 years of experience in high-performance CPU or AI accelerator logic design, RTL design or integration, including microarchitecture definition and PPA optimizations. Experience in CPU, and cache subsystem integration with SOCs. Preferred qualifications: Master’s degree or PhD in Electrical Engineering or Computer Science. Experience with modern processor microarchitecture and related technologies and algorithms, through industry experience. Experience with ARM instruction set architecture. Experience with SOC integration, design and architecture. Knowledge with a HDL language, front-end design methodology, and programming languages, such as C, C++, and Python. Knowledge of general purpose operating systems, such as Linux or 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 Participate in developing CPU or AI accelerator design and deliveries into SOC. Develop CPU subsystem front-end designs, emphasizing on microarchitecture and RTL design for the next generation CPU. Deliver designs meeting Power, Performance, and Area (PPA) and functional goals. Be familiar with modern techniques, interpret the techniques into design constructs, and languages in order to participate in SOC integration effort. Work with the Verification team to ensure production of quality designs, and the physical design and power teams to meet frequency, power, and area goals. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of professional experience in ASIC/SoC digital design using SystemVerilog. Experience working on multi-stage, high-performance CPU pipelines and optimizing them for area, power, and timing. Experience in logic design through coursework or industry experience. Experience with RISC-V architecture and ISA extensions. Experience with micro-architecture and RTL design experience in one CPU pipeline stage (e.g., Instruction Fetch Unit (IFU), Decode/Issue/Execution units, or Load-Store Unit (LSU)). Preferred qualifications: Master’s or PhD degree in Electrical Engineering or Computer Science. Experience with modern processor microarchitecture and related technologies and algorithms, through academic projects or industry experience. Knowledge of programming languages, such as C, C++, and Python. Knowledge of general purpose operating systems, such as Linux or 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. As a CPU Micro-architecture and RTL Design Engineer, you will be a key member of the team responsible for enhancing our next-generation RISC-V processor cores. In this role, you will focus on implementing architecture features, including standard or custom RISC-V ISA extensions. You will leverage your deep expertise in CPU pipeline design to optimize and scale our existing core architecture while meeting power, performance, and area (PPA) goals.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 Contribute to CPU frontend designs, emphasizing microarchitecture and RTL design for the next-generation CPU. Propose efficient, performance-enhancing microarchitecture features, working with architects and performance teams to conduct trade-off studies, communicate their pros and cons, and facilitate final decisions. Deliver designs meeting Power, Performance, and Area (PPA) goals with production quality. Become familiar with state-of-the-art techniques for at least one processor functional block, and interpret these techniques into design constructs and languages to provide guidance to and participate in the performance modeling effort. Work closely with the functional verification team to ensure production quality designs, and with the physical design team to meet frequency, power, and area goals. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience in ASIC development with Verilog/SystemVerilog, Very High Speed Integrated Circuit (VHSIC), Hardware Description Language (VHDL), or Chisel. Experience with micro-architecture and designing IPs and subsystems. Experience in one coding/scripting language (e.g., Python, Perl). Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science. Experience in System on a Chip (SoC) designs and integration flows. Experience in AI/ML. Knowledge of arithmetic units, bus architectures, processor design, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. 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 be part of a team developing Application-Specific Integrated Circuit (ASICs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, and physical design to specify and deliver quality designs for next-generation data center accelerators. You will solve technical problems with micro-architecture and practical reasoning solutions, and evaluate design options with complexity, performance, power.The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Drive design methodology, libraries, debug, code review in co-ordination with other IP Design Verification (DV) teams and Physical Design teams. Identify and drive power, performance and area of improvements. Participate in design, implementation and integration of chassis and subsystems. Perform RTL coding for Subsystems/SoC integration, function/performance simulation debug, Lint/CDC/FV/UPF checks. Perform quality check flows like Lint, CDC, RDC, VCLP. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, or a related field. Experience with a scripting language like Perl or Python. Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT. Experience in one or more functional areas, such as coherent fabrics (e.g., AMBA CHI/AXI), memory controllers (e.g., LPDDR5, DDR5), or I/O controllers (e.g., PCIe, CXL). Experience with design sign-off and quality tools (e.g., Lint, CDC, etc.). Knowledge of memory compression, fabric, coherence, cache, or DRAM. 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 Perform RTL coding, function/performance simulation debug, and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Own and execute the RTL design and micro-architecture for high-performance Fabrics and Network-on-Chip (NoC) subsystems from concept to tape-out. Write production-quality SystemVerilog code for complex logic including credit-based flow control, asynchronous bridges, and cache coherency controllers. Debug complex silicon issues and architectural bugs by digging into waveforms and gate-level simulations. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering, or Computer Science. Experience with a scripting language like Perl or Python. Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT. Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture. Knowledge of memory compression, fabric, coherence, cache, or DRAM. 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 contribute in creating the micro-architecture of the mobile SOC's subsystems, integrating multiple first-party/ third-party components, and running extensive quality checks including Lint, Clock Domain Crossing (CDC), low power checks (VCLP), synthesis, and timing and power analysis. You will be able to timely deliver Subsystems and work with various cross-functional teams ( DV/DFT/PD/Power) to ensure quality. 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 Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.). Perform RTL coding, function/performance simulation debug, and Lint/Cyber Defense Center (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and ASIC-level verification. Communicate and work with multi-disciplined and multi-site 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. 8 years of experience with multiple IPs/SoCs with silicon success. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science. Experience with a scripting language like Perl or Python. Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT. Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture. Knowledge of memory compression, fabric, coherence, cache, or DRAM. 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 Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.). Perform RTL coding, function/performance simulation debug, and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and ASIC-level verification. Communicate and work with multi-disciplined and multi-site 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.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience in Silicon engineering post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will shape the future of AI/ML hardware acceleration as a silicon architect/design engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal physical design convergence-timing, floor planning, power grid and clock tree design, etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 4 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog. 3 years of experience in ASIC design flows and methodologies, IP integration (e.g., subsystems, memories, IO's and Analog IP) and RTL design. Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science. Experience working on memory controller/direct memory access (DMA). Experience with industry standard ASIC design tools for RTL lint, VCS, Verdi. Experience in AI accelerator design, data-path design. Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture. 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 own System Verilog implementation, lead Power, Performance, Area (PPA) optimization experiments early on, and collaborate across the verification and physical design teams.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 Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.). Perform RTL coding, function/performance simulation debug, and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks. Participate in synthesis, timing/power closure, and FPGA/silicon bring-up. Participate in test plan and coverage analysis of the block and ASIC-level verification. Communicate and work with multi-disciplined and multi-site 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.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in ASIC development with Verilog/SystemVerilog, Vhsic Hardware Description Language (VHDL).

1. RTL/Digital circuit design, synthesis, and simulation/verification.2. FPGA synthesis, verification.3. Chip integration, algorithm implementation, and interface design.4. Generate test pattern.