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Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 Foundry, IP and Package Technologist, you will directly collaborate with architecture teams, external manufacturing partners (foundries and packaging vendors) to coordinate the technical stabilization and yield ramp of our custom silicon. You will be responsible for in-depth yield analysis, debugging process-design interactions, and driving corrective actions to resolve manufacturing defects. Your expertise in root-cause analysis and process optimization will ensures that our groundbreaking chips ramp up seamlessly from initial silicon arrival to high-volume production, directly enabling the future of our computing capacity.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive yield modeling for NPIs, support pre silicon activities in Foundry aspects of new devices.
Lead process debug investigations, utilizing inline data to isolate the root cause of yield limiters, distinguishing between random defects and systematic marginalities.
Drive yield improvements by executing advanced statistical analysis on high-volume manufacturing data, identifying subtle process-design interactions that impact performance, and defining the necessary corrective actions.
Collaborate with cross-functional design, product, and test teams to triage silicon failures, distinguishing between design bugs, foundry process marginalities, and packaging interaction issues to support New Product Introduction (NPI).
Partner with architecture and design teams to feed back critical manufacturing constraints into future product definitions, ensuring that next-generation chiplets are architected to be resilient to known process variances.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 SoCs by driving quality and reliability processes from the Integrated Circuit (IC) perspective. Working with various cross-functional teams, you will develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute test plans. Within the larger organization, you will collaborate with global hardware quality and reliability, silicon design, validation, and engineering teams. You will have an understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis.
The ML, Systems, and Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define and lead qualification hardware and test developments in front of internal teams and external vendors.
Define and execute Silicon and package qualification activities (e.g., HTOL, ELFR, ESD/LU, b/HAST, THB, etc.).
Extract, manipulate, and analyze large volumes of data from Silicon and package qualification programs (e.g., HTOL, ELFR, ESD, LU, UHAST, TCT, etc.), High Volume MFG, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield, quality, and reliability improvement.
Own cross-functional investigation of IC quality and reliability issues to identify root causes and develop solutions (e.g., RMA Triage, Analytics, Failure Analysis, etc.).
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, TDDB, NBTI, HCI, Time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives and set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.The ML, Systems, and Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Simulate high speed interface electrical behavior using HSPICE or other circuit simulators.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR) , Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
Establish design rules and guidelines for optimal signal/power integrity during PCB and package layout, ensuring high production yield and reliability.
Document design specifications, analysis results, and validation reports to ensure compliance with standards and for future reference, while collaborating extensively with cross-functional teams, including ASIC architects, digital/analog designers, physical design/layout engineers, and system engineers.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving team behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHSIC Hardware Description Language (VHDL)), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power, and FPGA/silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

In this role, you will conduct Place and Route experiments and sensitivity analyses to influence standard cell library architecture, metal stack definitions, and design rules. You will collaborate with Foundry, IP, and Architecture teams to identify Power, Performance, and Area (PPA) bottlenecks and drive System Technology Co-Optimization (STCO) initiatives.
Your work will involve performing high-fidelity physical implementation sweeps, analyzing the impact of scaling boosters, and developing automated methodologies to quantify PPA gains. By navigating the trade-offs between process complexity and design performance, you will ensure our companys hardware achieves efficiency and power density.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Execute high-fidelity Place and Route experiments to evaluate the PPA impact of advanced process features, library architectures, and design rule variations on datacenter-class IP.
Drive Design Technology Co-Optimization by collaborating with foundries and internal technology teams to define optimal metal stacks, track heights, and scaling boosters (e.g., backside power delivery, buried power rails).
Quantify process entitlement through systematic benchmarking of logic and memory macros, identifying bottlenecks in power density and timing closure for next-generation nodes.
Develop automated physical design methodologies and flows to accelerate technology pathfinding and enable rapid what-if analysis of emerging transistor architectures.
Influence System Technology Co-Optimization by partnering with Hardware Architects and Circuit Designers to translate process-level innovations into system-level performance gains.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 Design Verification Engineer, you will work as part of a Research and Development team building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify complex digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full lifecycle of verification which can range from verification planning, test execution, or collecting and closing coverage.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our company platforms, we make our company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Apply close coverage measures to identify verification holes and to show progress towards tape-out.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
Our portfolio spans CPU, TPU, Networking and other key data center technologies, which power our company's most demanding Compute and AI/ML applications.
In this role, youll work to shape the future of strategic Data Center silicon. Youll be an early and key contributor in a nascent high-growth team that pushes boundaries, developing advanced custom IP and solutions. You will require expertise in one or more of the following areas: wireline communications, analog circuit design, Digital Signal Processor (DSP) design and algorithms, signal integrity, transmission line theory, advanced analog and mixed-signal modeling, high-speed clocking, Clock and Data Recovery (CDR), equalization, high-speed input/output (IO) industry standards. Your role has a significant component of cross-collaboration with a broad set of cross-functional organizations. You'll bring out the best in the team to deliver designs that serve many of our companys advanced data center products.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Architect and design high-speed analog/digital circuits (ADC, DAC, PLL, CDR, DSP), including optimizing for Power, Performance, and Area (PPA).
Model and simulate channel behavior (S-parameters), signal integrity, and jitter using tools like MATLAB.
Bring up new silicon, characterize performance, and test for electrical compliance in lab environments.
Work with packaging, board design, and firmware teams to ensure seamless integration into System-on-Chips (SoCs).
Adhere to standards like IEEE or OIF for high-speed protocols and optimize power consumption.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 work to shape the future of the Data Center silicon. Our portfolio spans CPU, TPU, Networking and other key data center technologies, which power our company's most demanding Compute and AI/ML applications. You will be a key contributor in the growth team, developing advanced custom IP and solutions. We seek experienced applicants with expertise in one or more of the following areas: wireline communications, analog circuit design, DSP design and algorithms, signal integrity, transmission line theory, advanced analog and mixed-signal modeling, high-speed clocking, Clock and Data Recovery (CDR), equalization, high-speed IO industry standards. You will collaborate with a set of cross-functional organizations. You will serve many of our companys advanced data center products.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users, Cloud customers and the billions of people who use our companyservices 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Architecture and design of high-speed analog/digital circuits (ADC, DAC, PLL, CDR, DSP), including optimizing for Power, Performance, and Area (PPA).
Model and simulate channel behavior (S-parameters), signal integrity, and jitter using tools like MATLAB.
Bring up new silicon, characterizing performance, and testing for electrical compliance in lab environments.
Work with packaging, board design, and firmware teams to ensure integration into System-on-Chips (SoCs).
Adhere to standards like Institute of Electrical and Electronics Engineers(IEEE) or Optical Internetworking Forum (OIF) for protocols and optimizing power consumption.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Lead a complex ASIC subsystem and understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Implement designs in SystemVerilog.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As part of our Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
As a Design Team Manager within the Server Chip Design team, you will oversee the IP and SoC VLSI design cycle from architecture to production. In this role, you will own and manage IP, subsystems and SoC development, leading a group of designers and design tech leads.
You will be responsible for mentoring and developing team members and tech leads while driving improvements in leadership, technical execution, and design flows.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Manage a team of tech leads and designers. Develop and mentor team members, and communicate and co-work with multi-disciplined and multi-site teams.
Lead design activities at IPs, subsystems, and SoC.
Plan, execute, track progress, assure quality, and report status of the assigned activity.
Work closely with internal customers and support multiple activities and deliverables.
Assure and manage deliverables quality at all RTL design categories including reviews, static checks, design for physical design, power, etc.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 work as part of a research and development team. You will build verification components, constrained-random testing, system testing, and verification closure. You will verify digital designs, collaborate with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner cases and expose all types of bugs. You will manage the full lifecycle of verification which can range from verification planning, test execution, or collecting and closing coverage.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan the verification of digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with strategic value add (SVA) and industry-leading formal tools.
Identify and write all types of coverage measures for stimulus and corner cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company'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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive the sign-off timing convergence for high-performance designs.
Set up the timing constraints, define the overall static timing analysis (STA) methodology, set up the STA infrastructure and sign-off convergence flows, and work closely with block owners throughout the project for sign-off timing convergence.
Work with logic designers to drive architectural feasibility studies, develop timing, and explore RTL/design trade-offs for physical design closure.