דרושים » חשמל ואלקטרוניקה » Senior Silicon Validation Engineer, CPU

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 Silicon Validation Engineer at our company Cloud, you will play a pivotal role in the validation of our company's custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. With your expertise in post-silicon validation, you will be identifying and resolving issues before they impact our customers, ensuring a seamless and high performance cloud experience.
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. 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, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware, Software, Design, Design Verification, Architecture and multiple production teams.
Provide quality functional coverage for our company designs.
Test development and automation, design, implement, and maintain validation tests using scripting and programming languages (e.g., Python, C/C++) to verify SmartNIC functionality and performance.

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 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
Define, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware (FW), Software (SW), Design, Design Verification (DV), Architecture (ARCH) and multiple production teams.
Provide a quality functional coverage for our company designs.
Test Development and Automation, Design, implement, and maintain validation tests using scripting and programming languages (e.g., Python, C/C++) to verify SmartNIC functionality and performance.

our company's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets our company's standards of quality and reliability.
As a Senior SoC System Test Engineer, you will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization, and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will work with various groups to deploy screening methodologies and flows for data processing, analytics, and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
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
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, qualification strategies, and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Validate test solutions on system-level platforms and prepare for mass production.
Work with hardware and software teams to evaluate functional device yield and performance across various operating conditions.
Develop effective production screens to reduce Defective Parts per Million (DPPM).
Assess test escapees and localize failures, implement containment measures in the manufacturing test flow, and partner with manufacturing, test, quality and reliability teams to identify root cause and implement corrective actions.

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 need 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.
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 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.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.
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
Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

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 be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for a networking stack using your knowledge.
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
Lead an ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
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 a CPU Front-End Design Engineer, you will take part in central processing unit (CPU) development, one of the most critical blocks of our companys future sever System on a Chip (SoC). You will be responsible for microarchitecture, RTL design and implementation of core technology as part of our companys data center SoC products. You will collaborate closely with architecture, verification, and physical design engineers, creating micro architectural definitions with RTL coding and running block level simulations.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 architecture and micro-architecture features, write specifications, and understand implementation tradeoffs (e.g., performance, power, frequency, etc.).
Define the CPU block level design document such as interface protocol, block diagrams, transaction level flow, control registers, pipelines, etc.
Perform RTL development process (e.g., coding and debug in Verilog, SystemVerilog, or VHDL), function/performance simulation debug, and Lint/CDC/FeV/PowerIntent checks.
Contribute to the SoC level integration, and participate in synthesis, timing/power closure, and silicon bring-up.
Participate in test plan and coverage analysis of the block and SoC-level verification.

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 the Performance Modeling Manager, you will lead a team of high-performing engineers responsible for the software performance models that are used to guide the future of our companys custom silicon. You will bridge the gap between software architecture and hardware implementation, ensuring that our next-generation CPUs and NICs are optimized for our companys most critical workloads, such as Gemini, Search, and Cloud AI.
In this role, you will lead a team of high-performing engineers in the development of sophisticated performance models and oversee the conduct of deep-dive architectural analyses. By guiding the team to explore various architectural alternatives under different scenarios, you will ensure the identification of bottlenecks and provide data-driven guidance to architects on preferred hardware implementations. Your focus will be on leading the technical roadmap and career development while maintaining high-level architectural influence across both CPU and NIC modeling domains.
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 channel 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
Build, lead, and mentor a team of performance modeling engineers, fostering a culture of technical excellence and innovation in the Tel Aviv and Haifa silicon space.
Define the goal for performance modeling tools and methodologies, ensuring they provide highly accurate projections for future architectural pivots.
Partner with Hardware Architects, Silicon Designers, and Software Workload teams to influence SoC specifications based on data-driven modeling results.
Drive the development of advanced SystemC performance simulators and infrastructure, ensuring scalability and correlation with post-silicon performance.
Serve as a subject matter expert in CPU/NIC micro-architecture, guiding the team through complex trade-off analyses (power, area, performance).