לוח משרות דרושים בהר אדר

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google'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 Google Cloud, Google 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/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.

We help first-party teams (collaborators) throughout Google via online tools, datasets and dashboards, to track their notifications traffic, measure quality and improve their users' experience with notifications.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities
Write product or system development code. 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.
Build infrastructure to optimize/experiment with notifications (content, timing, frequency, etc.). Work with collaborators to define and scope experiments over slices of notification traffic.
Train, evaluate and iterate on a series of models offline. Run and evaluate experiments and ultimately bring models to launch.

The AI and Infrastructure team works on the worlds toughest problems, redefining whats possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. Were at the center of amazing work at Google by being the flywheel that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.


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.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Google Notifications team (GaNT) makes it easy for first-party apps to acquire, engage, retain, and delight users. The team's mission is to deliver Google's products to users by enabling high-quality notifications and driving growth across the ecosystem.


Responsibilities
Identify potential optimization projects to enhance Google notifications campaign and abilities utilizing the in-place historical data sets.
Lead product area on the Google notifications platform, working in collaboration with different Google products.
Set product area strategy and develop a point of view in partnership with Engineering, Data Science, and cross-functional leads.
Work with different Google product areas to understand their notifications optimization needs and directions, and understand potential paths for growth across Google.

As a Principal Engineer of Mixed-Signal Design within the Chip Innovation and Infrastructure team, you will help deliver products that have a substantive impact on Googles technical infrastructure. You will provide technical leadership to a group of silicon engineers in an innovative and fast-paced environment with a focus on mixed-signal design for machine-learning accelerators within Google data centers. This role has a significant component of cross-collaboration with cross-functional organizations. You'll bring out the best in the team to deliver designs that serve many of Googles core businesses.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Drive the mixed-signal design for CI2 in collaboration with other Google teams and external customers. Enable and maintain a strong co-design work process with all functions involved in designing and delivering mixed-signal components for CI2 products.
Ensure mixed-signal designs for CI2 chip architectures and fully enable and deliver Google product roadmap in terms of functionality, performance, power, cost, quality, usability, and deployability.
Set the direction for CI2 mixed-signal microarchitecture and modeling efforts and ensure on-time delivery of specifications to enable rapid and efficient development of next generation chips.
Collaborate with all functions of mixed-signal chip development (verification, implementation, etc.) and delivery (e.g., facilitate developers of various backgrounds to contribute to the mixed-signal architecture or encourage mixed-signal architects to be involved with chip development responsibilities).

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.

In Google 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
Build a web UI adhering to the latest standards such as accessibility, internationalization, UX design and usability.
Work closely with other teams or products at Google such as Application Modernization Platform (AMP), Chrome and Safe-Search, connecting our users with different search teams' data and controls.
Develop the Search Console product (Web App) based on the latest Google infrastructure.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Our mission is to provide the simplest, fastest, and most reliable path for enterprises to migrate their workloads to Google Cloud, accelerating their digital transformation journey. The team has adopted an AI-first approach, where product features and engineering productivity are centered around AI to increase delivery speed and open new opportunities for product journeys.

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google'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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Lead, mentor, and cultivate a high-performing engineering team. Foster a culture of innovation, psychological safety, and continuous career growth for every team member.
Oversee the team's execution and project life-cycle, ensuring the timely and efficient delivery of high-quality, scalable features in a changing, agile environment.
Advocate a customer-first culture by instilling the highest standards for service reliability, performance, and quality.
Drive our AI-first strategy's evolution from both a management perspective, inspiring the team and a technical one, guiding the practical integration of AI into both our product and our internal development processes.
Resolve technical problems inherent in a large-scale, enterprise-grade migrat

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.

Search Console is the main channel to site owners to integrate with Google Search Engine. We provide tools that help the web ecosystem to monitor their search performance, and track their content availability on Google surfaces. We improve Google's search quality and assist websites to succeed on the web.

The Search Console team is responsible for the pipelines that process the search raw data (search session logs, indexing data, etc.). We also run user management, site ownership verifications (which is used by other teams in Google), and other BE tasks.
In Google 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. 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.
Develop scalable services and pipelines serving both internal and external users. Manage many services and pipelines, work on very large data, and oversee monitoring and dashboards.

In Platforms and Devices (P&D) AI Innovation and Research (AIR), we collaborate with the leading professionals in the functional areas of computer vision, graphics, machine learning, and AI to develop techniques to solve problems for the consumer facing imagery space.

As a product manager in this space, you will work with research scientists to create new approaches to solve consumer issues, and apply those approaches by designing, and implementing features that help to drive Google level goals.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Partner with research counterparts to drive new investments and a product/tech road map for innovation.
Execute on 0 to 1 differentiating AI video experiences that can disrupt the smartphone space.
Collaborate with Google Deepmind and across product areas like Pixel Camera, and Google Photos to build these experiences.
Work with Marketing, Comms, and creative agencies to tell the story of these experiences.

Be part of a 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.
The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google'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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Develop and execute comprehensive validation plans for Google's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation or FPGA platforms.
Lead the debugging and resolution of silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.

Join our team working on an advanced ad-serving platform that powers millions of real-time interactions every second. As a Senior Backend Developer, youll play a key role in designing, developing, and maintaining a high-performance system that supports critical functionalities like targeting, attribution, budget management, and data pipelines for machine learning and reporting.Youll be expected to lead impactful projects, drive improvements in performance, scalability, and system reliability, and help shape solutions that directly influence the success of a globally recognized platform. We value bottom-up initiatives and encourage team members to bring their ideas to the table, fostering innovation and collaboration.
Why You'll Love This Role:

Take ownership of major projects and core features with significant business impact.
Work alongside skilled engineers in a fast-paced, high-scale environment.
Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.
What you'll be doing
Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
Maintain and optimize the performance of critical backend systems.
Refactor and improve legacy code to ensure scalability and efficiency.
Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers

Join the innovative and expanding team at Unity-Aura, a groundbreaking large-scale mobile platform that serves a wide variety of content, including news articles, games, videos, and more. We are seeking a motivated and detail-oriented Quality Assurance Engineer to ensure our content discovery platform delivers a seamless experience to millions of users. At Unity, you will be part of a dynamic team that combines Android development, backend services, and machine learning into a unified, complex system. This is an ideal role for individuals eager to make a substantial impact on a technically challenging product in a fast-paced environment.
What you'll be doing
Collaborate closely with software engineers, product managers, business intelligence, and UI/UX designer teams to define and execute test plans and cases.
Participate in the development lifecycle, from requirements analysis to post-deployment verification.
Conduct regression, functional, performance, and usability testing.
Perform exploratory testing to ensure a seamless user experience across multiple devices and platforms.
Stay updated with the latest QA methodologies, tools, and best practices.

As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.

Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.
Technology Breadth: Work across the full DevOps spectrum from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.
What you'll be doing
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.