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Required AI Sales Specialist II, Cloud
About the job
As a member of the Cloud team, you inspire leading companies, schools, and government agencies to work smarter with our tools. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing whats right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for our products, you help spread our magic to organizations around the world.
As an AI Sales Specialist Specialist, you will be responsible for growing the AI business by building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying ways to multiply the impact of the team. You will partner with the internal Cloud Platform (GCP) sales teams to grow their AI businesses and drive overall value for GCP.
Our Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Calibrate the business against the objectives and key results. Forecast and report the state of the business for the territory.
Build and maintain executive relationships with customers as the AI subject matter expert, influence the direction for the new and existing customers as well as the Cloud Field Sales Representatives (FSRs) and Customer Engineers (CEs).
Assist customers in identifying AI use cases suitable for Cloud AI products and solutions. Articulate key solution differentiators and the business impact.
Develop and execute account plans, including a broader enterprise plan across key verticals.
Work with our account and technical teams to develop and drive pipelines, and provide expertise. Execute Go-To-Market (GTM) business plays and related efforts with the cloud teams and GCP partners.

we are looking for a Backend Team Lead.
As a Backend Team Leader, you will lead one of our backend teams and work closely with product, finance marketing, CS and other teams.
You will lead the team professionally, mentor them, and ensure everyone fulfills their full potential.
You will add new capabilities and solve complex issues, always keeping scale in mind.
Scale, accuracy and reliability help us make sure that our proprietary banking core, that supports millions of transactions with volumes topping 1bn yearly, is always up-and-running.

Required Senior Silicon 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.
As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical 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 customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Cloud customers, and billions of users worldwide.
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
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.

Required RTL Design Technical Lead, Servers, 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.
As part of our Server Chip Design team, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our services (Search, YouTube, etc.) and Cloud. Our end users are Googlers, Cloud customers and the billions of people who use our 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 Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the Design Activities at IPs, SubSystems(S.S) and SoC.
Plan, execute, track progress, assure quality, report status of the assigned activity.
Lead a team of designers both directly and in teams.
Define the Block/SoC level design documents such as Micro Architectural Specifications.
Own IP, S, SoC strategies for clocks, resets, and debugs. Enforce global methodologies and drive enhancements.

Required Senior SOC Performance 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 organize the world's information and make it universally accessible and useful. Our team combines the best of our 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
Validate performance and power models from the architecture team and lab measurements against established goals, exercise open source benchmarks, analyze the results, and identify optimization opportunities.
Design and build tests to verify SoC design meets targets, and implement advanced technologies for running "benchmark representations" on pre-silicon environments.
Analyze problems to identify core design weaknesses, and drive resolution of performance issues in both pre- and post-silicon environments.
Collaborate closely with design, validation, and architecture teams to ensure hardware and software designs interface correctly and deliver products.
Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making, and drive efforts to productize features that improve performance and power characteristics.

we are looking for a Senior Machine Learning Engineer to work on LLM-based systems with a strong emphasis on integration, end-to-end workflows, and production readiness. This role combines performance optimization (prefill/decode, throughput, latency) with hands-on work integrating components across the AI platform.
A significant part of the role involves building end-to-end integration flows and tests, particularly around token generation pipelines and system orchestration, as well as contributing to intelligent system behavior such as hardware selection and execution strategies. The role also includes developing system-level logic in Python for multi-tenant management, caching strategies, and service lifecycle management across the platform.
***This is not a Data Science position***
Responsibilities:
Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure)
Design, implement, and optimize LLM inference workflows, including prefill and decode stages
Improve system performance with focus on throughput, latency, and interactivity
Write production-grade components in Python and integrate them into the broader system
Contribute to system-level logic such as smart hardware selection and execution strategies
Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines

Required Software Engineer III, Hoverboard
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.

Required Staff Software Engineer, Cloud Storage, AI/ML
Tel Aviv, Israel
Responsibilities
Design and implementation of high-complexity features. Deliver production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical issues that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader Cloud goals.

we are seeking a Lead System Architect to join our system architecture team and help define the next generation of our AI-SuperNIC scale-out chip.
AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.
You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.
Responsibilities:
Define product requirements and architecture for next-generation ultra low-latency AI-SuperNIC
Design end-to-end data paths across NIC, host, and GPU memory, with focus on GPU connectivity (PCIe, NVLink, CXL)
Lead adoption of emerging standards such as UEC and UALink, while maintaining compatibility with existing ecosystems
Establish architecture guidelines and partitioning across hardware, firmware, and software
Drive performance modeling, analysis, and system-level optimization for AI workloads
Optimize scale-out communication patterns (e.g., collectives) for GenAI training and inference
Collaborate with software teams on drivers, runtimes, and integration with AI frameworks
Work with R&D, CTO, and peer architects on system definition and trade-offs
Engage with customers and partners to shape system requirements and use cases

We are seeking for an Android Tech Lead.
We are looking for a experienced and independent Android Tech Lead to take ownership of complex features and help shape our mobile architecture using the latest Android toolsets.
Full-time position, Sunday-Thursday, in Rishon LeZion.

We are looking for a skilled SAP MM Consultant to implement, support, and maintain SAP MM and SRM solutions, while working closely with business users and external vendors in a complex enterprise environment. This role requires strong SAP MM implementation expertise, hands-on troubleshooting abilities, and experience managing logistics-related projects. A full-time position, based in Central Israel.?Key Responsibilities:
* Implement and maintain SAP MM and SRM solutions according to business requirements
* Provide ongoing support, troubleshooting, and issue resolution for end users
* Work closely with business stakeholders, external vendors, and cross-functional teams
* Participate in logistics-related projects, including process improvements and system enhancements