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Be part of a diverse 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.
Our mission at Google System Infrastructure is to build the best cloud in the world for Google services and for Google Cloud customers, by solving world business challenges of performance, cost, and scale, utilizing unique hardware, software, and system solutions. To better serve the rapidly evolving cloud needs, Google is establishing a team in Israel to develop custom chips for servers.

In this role, you will perform formal verification of design properties of ASIC designs. You will collaborate closely with design and verification engineers to define meaningful properties that capture the design intent of a logic block and constraints on its input stimulus. You will also help define and improve design and verification methodologies that allow you to achieve formal verification closure.
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 Google platforms, we make Google'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 formal verification strategy and create the properties and constraints for digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties.
Contribute improvements to methodologies to enhance formal verification results.
Architect and implement reusable formal verification components.

The File Solutions team provides a set of fully managed file services for Enterprise and HPC and AI/ML customers addressing workloads (e.g., SAP, GKE applications, etc.). The team facilitates seamless migration to cloud, hybrid cloud solutions, and seamless integration with other File solutions and Google Cloud Platform (GCP) solutions and services.

The team's goal is to be the authoritative one stop shop for all file solutions in GCP, serving large-scale strategic customers and managing customer data, while maintaining the highest performance, scale, reliability, usability, quality, and observability as well as ownership of the whole file portfolio, whether built from the ground up internally or via integration with third-party and open source technologies.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Drive the technical decision making and prioritization across File Solutions integration with external/internal products (e.g., Filestore, NetApp, PFS/DAOS) and infras to create a superb experience to our customers covering all the workloads and needs.
Guide a team of engineers based in India, Tel Aviv, and Kirkland through technical design directions for creating the best file solutions for our customers achieving high quality, reliability, and development velocity.
Collaborate with engineering and product leadership on setting priorities and building strategic roadmap as well as multiple local and remote teams serving the product portfolio (e.g., UX, UI etc.).
Build relationships, and collaborate with and work closely with various Developer partners and external companies we integrate with to create the best solution including all the technical aspects.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will research new modeling approaches for improving multilingual capabilities of Large Language Models used on key Google products like Gemini, Search, and Cloud Vertex AI (e.g., pre-training, instruction following, and cross-lingual tasks). You will also explore pre-training for target languages other than English and develop the infrastructure that supports this research. Our team is committed to developing advanced methodologies tailored specifically for multilingual environments. We focus on pre-training multilingual models, enhancing the quality of multilingual instruction-tuning datasets, refining multilingual evaluation processes, boosting knowledge transfer across languages, and optimizing multilingual tokenization, among other initiatives.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities
Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Lead the research of technology for improving Large Language Model (LLM) efficiency of performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
Collaborate with other Research teams to expand efficient LLM technology.
Collaborate with Google first-party partner teams to deliver new technologies to production.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Waze is also a household name in Israel, and joining our team is an opportunity to be part of local history and be part of a passionate team and community working to change the way our cities move and make every drive smarter and safer.
Responsibilities
Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Be part of a diverse 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.
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 Google platforms, we make Google'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
Demonstrate an understanding of the Register-Transfer Level (RTL)-to-Graphic Data Stream (GDS)II flow, with experience in using Cadence design tools.
Involve in implementing large, complex system-on-chips (SoCs), subsystems, and sub-wrappers, demonstrate an understanding of associated issues and solutions.
Possess floorplanning, power grid design, and place-and-route methodologies, with expertise in using Synopsis tools like Floorplan Compiler (FC) and formality.
Exhibit an understanding of advanced node design (e.g., 5nm and below) and related optimization techniques.
Possess scripting skills in Synopsis TCL, with expertise in Python.

A problem isnt truly solved until its solved for all. Thats why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

As a Technical Program Manager for Silicon Development, you will use your technical and management experience to lead the development and execution of complex, multidisciplinary SoC projects. You will plan programs and manage their execution from early concepts through development to tape-out and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

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 Google platforms, we make Google'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, coordinate, and deliver custom silicon products.
Assess complexity and scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
Lead the data-driven schedules and milestones, track the progress, proactively identify potential future issues, and identify mitigations with the team leaders.
Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Design Verification Engineer, you will work as part of a Research and Development team, and you will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification. You'll build efficient and effective 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.

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 Google platforms, we make Google'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/UVM, or Specman.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Lead coverage measures to identify verification holes and to show progress towards tape-out.