Tìm kiếm việc làm online mới nhất!

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: 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 Dynamic Random Access Memory (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 be creating the micro-architecture and design of the critical IPs widely used across multiple mobile SOC's subsystems and running extensive quality checks including Lint, Clock Domain Crossing (CDC), low power checks (VCLP), synthesis, and timing and power analysis. You should be able to timely deliver IPs 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 Register-Transfer Level (RTL) coding, function/performance simulation debug, and Lint/CDC/FV/UPF checks. Participate in synthesis, timing/power closure, and Field Programmable Gate Array (FPGA)/silicon bring-up. Participate in test plan and coverage analysis of the block and Application Specific Integrated Circuit (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. 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. 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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Role:We are expanding our Test Automation team in Chennai to support and contributeto the development, maintenance, and improvement of our automation frameworks especially with FPGA for our Test fixtures. This position is ideal for someone with a strong technical foundation and a desire to grow into a specialist in test automation for embedded systems and consumer electronics.Your Contribution:In this role you will:● Support the deployment, maintenance, and improvement of Python-based Test Frameworks.● Contribute to the development and execution of automated test scripts using Python.● Participate in manual and automated testing methodologies.● Understand and follow detailed test plans and procedures to validate products.● Add/Modify FW Modules in Xilinx based FPGA Boards.● Perform basic debugging and troubleshooting.● Document test procedures, results, and contribute to user-friendly tool documentation.● Collaborate with validation engineers to ensure test coverage and product quality.● Learn and apply best practices in test design, automation, and quality assurance.Key Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:● 6–10 years of experience in software testing, automation, or embedded systems validation.● Solid knowledge of Python programming.● Interest in embedded systems testing and automation tools.● Exposure to manual and automated testing methodologies.● Ability to understand and execute detailed test plans and procedures.● Knowledge of electronics engineering fundamentals.● Hands-on assembly and wiring of electronic test benches, including integration of sensors,connectors, and harnesses.● Debugging and troubleshooting of electronic circuits, signal integrity, and connectivity issues.● Proficiency with lab equipment: oscilloscopes, USB analysers, power supplies, voltmeters, etc.● Familiarity with communication protocols such as UART,USB, Ethernet, Bluetooth.● Strong problem-solving and analytical skills.● Good verbal and written communication skills in English.● A team player with a willingness to learn and take guidance from senior engineers.In addition, preferable certification/skills include:● Xilinx Certified VHDL and Verilog Designer● ISTQB or equivalent certificationEducation:● Bachelor’s Degree in ECE/EEEAcross Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Please complete your application before July 31, 2026.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field Experience in programming languages (e.g., C++, Python, Verilog, UVM), Synopsys and Cadence tools Experience in one or more of the following areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, memory systems Preferred qualifications: Experience with performance modeling tools, C++, Python or silicon design tools in front end/design verification/physical design Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies; computer architecture; linear algebra; or ML/DL background Knowledge of high performance and low power design techniques Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time About the jobAs a Silicon Engineering Intern, you will work in a team that is shaping the future of Google Cloud Silicon, including TPUs, arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. 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 ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements and manages the hardware, software, machine learning and systems infrastructure for all Google services (e.g., Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest Cloud Silicon products to running a global network, while driving towards shaping the future of hyperscale computing. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Responsibilities may vary based on specific 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 in verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs. Experience in verification and debug of IP/subsystem/SoCs in the networking domain such as packet processing, bandwidth management, congestion control. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with industry-standard simulators, revision control systems, and regression systems. Experience in Artificial Intelligence/Machine Learning (AI/ML) accelerators or vector processing units. Experience with the full verification life cycle. Excellent problem-solving and communication skills. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verification.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 Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Measure to identify verification holes and to show progress towards tape-out. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). 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 or equivalent practical experience. 4 years of experience in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs. Experience in verification and debug of Internet Protocol (IP)/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management and congestion control. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Preferred qualifications: Master's degree in Electrical Engineering or a related field. Experience with industry-standard simulators, revision control systems, and regression systems. Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units. Experience with the full verification life cycle. Excellent problem-solving and communication skills. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge 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 own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verification.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 Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Measure to identify verification holes and to show progress towards tape-out. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). 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 or equivalent practical experience. 4 years of experience in verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Experience in verification and debug of IP/subsystem/SoCs in the networking domain such as packet processing, bandwidth management, congestion control. Preferred qualifications: Master's degree in Electrical Engineering or a related field. Experience with industry-standard simulators, revision control systems, and regression systems. Experience in Artificial Intelligence/Machine Learning (AI/ML) accelerators or vector processing units. Experience with the full verification life cycle. Excellent problem-solving and communication skills. 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 own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verification.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 Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Measure to identify verification holes and to show progress towards tape-out. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). 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 in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs. Experience in verification and debug of IP/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management, congestion control desired. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with industry-standard simulators, revision control systems, and regression systems. Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units. Experience with the full verification life cycle. Excellent problem-solving and communication skills. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge 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 own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verificationThe 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 Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Measure to identify verification holes and to show progress towards tape-out. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). 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.