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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 Senior Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-random test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through corner-case testing.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 include our companyrs, our company Cloud customers, and billions of our companyusers 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 the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

our company'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 our companys 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.
In our company Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within .
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

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 are our companyrs, 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
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.
Create code generators to generate C++ code based on hardware specifications.

we are looking for a Backend Developer.
What youll do:
Work closely with Algorithm and NLP developers to integrate complex post-logic, leveraging the latest AI models and tools to enhance content personalization, tagging, and automation across our solutions.
Design, develop, and maintain backend services and APIs with a focus on high performance, scalability, and low latency - powering live and recorded content experiences at scale.
Design and implement event-driven systems that power real-time workflows across our platform, using technologies like Kafka or Azure Service Bus to enable scalable, decoupled communication between services.
Work on real-time video and metadata processing pipelines that support our various products.
Lead and contribute to cross-service orchestration mechanisms, implementing design patterns to ensure consistency and reliability across distributed systems.
Collaborate with product and engineering teams to deliver customer-facing features that drive engagement and enhance the fan experience.
Stay up to date with the latest in backend, video, and cloud technologies - and bring that knowledge back to level up the team.

In this role you will be responsible to model, analysis and estimate power consumption of daily use cases on our next generation SoCs. Drive new ideas into micro-architecture, design and circuits to reduce SoC power across the dynamic range. Drive budgeting, measurement and analysis of overall SoC power for many use cases of interest. You Will work extensively with many teams across every stage of the project from Architectural definition through Design implementation and SW management to focus on power optimization.
To be successful in this role, you must have keen interest and motivativation to deliver best experience to our users, and wide perspective in order to work simultaneously on multiple disciplines. This role is required working closely with many cross-functional teams and good understanding of hardware and software interaction at system level.

In this highly visible role, you will be responsible for SOC power simulation and power modeling, SOC use case power analysis, and drive the future SOC power optimization.

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within our company, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.
You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the worlds most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.our company's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where our company connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life-cycle of all space, power, and network assets in all of our companys data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.
Responsibilities
Deliver our company's network reliably and at scale, with a focus on workflow automation and efficiency.
Drive adaptable and scalable approaches, collaborating with cross-functional teams to optimize network deployment cycle time and operational costs through process improvements.
Own an area of responsibility, addressing issues, anticipating needs and escalating as necessary, while identifying automation opportunities to improve efficiency and prevent reoccurring failure modes.
Maintain accurate network data to drive operational excellence.

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 SoC Physical Design Engineer, you will collaborate with Functional Design, Design for Testing (DFT), Architecture, and Packaging Engineers. Additionally, you will solve technical problems with micro-architecture and logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
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 include our companyrs, our companyCloud 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 and drive the implementation of physical design methodologies.
Take ownership of one or more physical design partitions or top level.
Drive to the closure of timing and power consumption of the design.
Contribute to design methodology, libraries, and code review.
Define the physical design related rule sets for the functional design 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.
As a 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 digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full life-cycle 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 include our companyrs, 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 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.