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Required Software Engineer, Search
About the job
Our 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 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 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 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.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Required Senior CPU Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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, and 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 and test execution to collecting and closing coverage.
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 SystemVerilog Assertions (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.

Required ML Hardware Achitect
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

we are the agentic intelligence platform for cyber and quality teams. We protect and analyze data from millions of connected assets worldwide, including vehicles, robots, charging stations, fleets, and the broader physical-AI ecosystem - for Fortune 500 companies. Our platform spans AI and API security, cybersecurity XDR, proactive quality detection, and cyber threat intelligence..
Runtime AI & API security is our fastest-moving frontier: securing AI agents, APIs, and MCPs in enterprise environments where autonomous systems now act on real-world infrastructure. we are uniquely positioned to lead the segment, focusing on the intersection of AI agents and physical assets, an angle no other vendor can claim.
We are building this into a fast-growth business line. You will lead our company's AI & API Security business globally - the number, the sales strategy, and the execution. This is a builder's role, and you will define and lead the sales motion, work closely with our regional sales leaders, marketing, product, and CSM teams, close the first flagship logos yourself, and then scale it through our global sales organization.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Lead the AI & API Security business - carry a global revenue target, and own pipeline, forecast, and pricing for the line of business.
Build and lead the AI & API Security sales motion - define ICP, segmentation, packaging, and the sales playbook, in partnership with regional sales leaders, product, marketing, CSM, and cyber services.
Sell directly - personally lead strategic enterprise outreach end to end, from first meeting through technical validation, solution review, procurement, and close.
Enable the global sales teams - arm regional sellers in North America, EMEA and APAC with training, playbooks, and deal support so AI & API Security scales beyond your own quota. Support the sellers in every stage of the deal and push for closing the deals.
Act as the subject matter expert of the offering - run discovery, architecture discussions, demos, and POVs; represent our company at customer executive briefings, industry events, and analyst conversations.

our company delivers a cloud-based, AI-powered data management platform purpose-built for connected vehicles, smart mobility, and the IoT ecosystem. By leveraging mobility data, our company empowers customers with advanced, AI-driven applications across a variety of use cases, including proactive vehicle quality monitoring and detection, cybersecurity detection and response (XDR), misuse detection, usage-based insurance, and more.
We are looking for a hands-on Assistant Controller to join our Finance team for a six-month maternity leave cover.
In this role, you will take part in managing the day-to-day financial activities of several subsidiaries, including accounting, payroll, monthly and annual closing processes, financial reporting, and other ongoing finance activities.
You will report to the Director of Finance and work closely with internal stakeholders, external auditors, and tax advisors.
This is a full-time, Israel-based.
Responsibilities
Manage day-to-day financial activities across our companys subsidiaries.
Manage and oversee payroll processes for several subsidiaries.
Take an active role in monthly and annual closing processes in accordance with US GAAP.
Oversee and review bookkeeping activities to ensure accurate and compliant financial records.
Support financial reporting, budgeting, and forecasting processes.
Collaborate with external auditors, tax advisors, and cross-functional teams.
Support various ad-hoc financial projects and ongoing Finance team needs.

Required Design Engineer, Edge AI, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing robust, autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
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 platforms, we make our 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
Lead a complex ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center.
Define high-performance 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.

Required Edge-AI SOC Verification Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with architecture, software, design, and physical design stakeholders to make technical decisions and represent project status throughout the development process.

Required Software Engineer III, Technical Infrastructure
About the job
Our 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 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.
Responsibilities
Design, develop, and maintain advanced software modeling tools and simulation environments.
Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
Conduct in-depth security analysis and threat modeling for hardware-software interfaces.
Develop and implement methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring our systems meet the highest standards of safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles. Contribute to expanding the team's suite of AI-assisted capabilities.

Requied Full Chip CAD Physical Design Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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're the driving force behind our 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 Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Demonstrate an understanding of the Register-Transfer Level (RTL) to Graphic Data Stream (GDS) II flow.
Manage the implementation of large, complex system-on-chips (SoCs), subsystems, and sub-wrappers, and demonstrate an understanding of associated issues and solutions.
Utilize floorplanning, power grid design, and place-and-route methodologies, and use Synopsys tools like Floorplan Compiler (FC) and Formality.
Exhibit an understanding of advanced node design (e.g., 5nm and below) and related optimization techniques.
Develop script in Synopsys TCL and Python.

Required Senior SoC Formal Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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 is to build the best cloud in the world for our services and for our Cloud customers, by solving real world business issues of performance, cost, and scale, utilizing hardware, software, and system solutions. To better serve evolving cloud needs, we are establishing a team in Israel to develop custom chips for servers.
In this role, you will perform formal verification of design properties of complex 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.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Plan the formal verification strategy and create the properties and constraints for complex digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties and apply sign-off to blocks.
Pioneer and refine formal verification methodologies by systematically embedding AI tools to optimize verification accuracy.
Architect and implement reusable formal verification components.

Required Technical Program Manager, Silicon Design Services and Strategic Extended Workforce
About the job
A problem isnt truly solved until its solved for all. Thats why we build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager, 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.
Behind all of our user-facing AI models, applications, and cloud services is an advanced data center infrastructure powered by custom silicon designed by us.
As the Lead Technical Program Manager for Silicon Design Services and Strategic Extended Workforce, you will drive the end-to-end technical engagement, program management, and operational execution of our multi-vendor design services ecosystem. You will lead cross-functional programs spanning external partner selection (RFI/RFP), technical scoping, Statement of Work (SOW) drafting, and day-to-day execution across multiple development functions such as: Physical Design, Design for Test, Verification, and Silicon Engineering (SiEng/NPI). You will serve as the critical technical bridge between our internal silicon design/architecture teams and external design partners, ensuring execution velocity, first-pass silicon quality, IP security, and commercial alignment.
Responsibilities
Lead end-to-end program lifecycles for external design services from scoping, RFP, and SOW finalization through tapeout and production ramp.
Establish multi-tiered vendor governance frameworks and drive critical technical, budgetary, and schedule tradeoff discussions between internal and external leadership.
Partner with our execution owners and vendors to align milestone deliverables, sign-off criteria, and dependency tracking for advanced node SoCs.
Deploy secure Cloud CAD development environments and manage outsourced silicon NPI, including ATE test development and OSAT manufacturing handoffs.
Define Key Performance Indicators (KPIs) and Service-Level Agreements (SLAs) to track milestone adherence, pro-actively mitigate critical-path program risks, and govern strategic commercial agreement terms.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Be part of the team that defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Consistently improve radar performance
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Lead the team which defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Drive and consistently improve radar performance
Identify key areas of Next Generation improvements, recommend research directions and system solutions
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others