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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.
In this role, you will be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for a networking stack.
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, 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
Lead an ASIC subsystem.
Understand how ASIC subsystem interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

Senior Full-Stack Engineer - Catalog Management
A leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, we enable creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, we provide a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We are looking for a Senior Full-Stack Engineer to join our Catalog Management team This team owns core domains of the application, including artist management, catalog management, and content-driven workflows that power both creator-facing experiences and internal tools. In this role, youll take end-to-end ownership of features - from backend services and APIs to user-facing interfaces - building systems used daily by creators and teams across. Youll work closely with Product, Design, Label, Content, A&R, and Engineering to translate complex domain needs into intuitive, scalable, and reliable software.
What Youll Be Working On
This is a true Full-Stack role, with responsibilities split roughly 50% backend and 50% frontend, depending on the feature and phase. On the backend side, youll design and build services that handle artist data, catalog metadata, workflows, and integrations, ensuring scalability, performance, and reliability. On the frontend side, youll build and maintain user interfaces that surface complex data and workflows in a clear, efficient way, collaborating closely with designers and product managers. Youll own features end to end - from technical design through production - and help shape how our catalog systems evolve as the company grows.
Wake Up for This:
Own features end to end: Design, implement, and maintain Full-Stack features - from backend services and APIs to frontend applications and user experiences. Build scalable backend systems: Develop and maintain Node.js services that power artist management, catalog workflows, metadata handling, and content operations. Craft intuitive user interfaces: Build clear, performant, and maintainable UIs using React and Next.js that make complex workflows easy to use. Collaborate cross-functionally: Work closely with Product Managers, Designers, and stakeholders from Label, Content, and A&R to deliver solutions that meet real business and creative needs. Engineer for quality and scale: Ensure systems are performant, reliable, secure, and maintainable across the Full Stack. Lead by example: Mentor other engineers, contribute to architectural decisions, and help raise the bar for code quality and best practices. Create real impact: Your work will directly affect how content is managed, discovered, and delivered to millions of creators worldwide.

Senior backend Engineer - Catalog Management.
We are a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io. Artlist is looking for a Senior backend Engineer to join our Catalog Management team This team owns core domain areas of the product, including artist management, catalog management, and content-driven workflows that power the application end to end. In this role, youll build backend systems that directly support our creators and internal stakeholders. Youll work closely with multiple departments across the company- including Label, Content, A&R, and Product - helping translate real-world creative and operational needs into scalable, reliable software. Wake Up for This: Build product-driven backend systems: Design, develop, and maintain backend services that power artist management, catalog workflows, and content-centric features across the platform. Own end-to-end features: Take responsibility for features from backend through API - collaborating closely with frontend engineers and product partners. Collaborate cross-functionally: Work closely with Product, Design, Label, Content, and A&R teams to understand domain needs and deliver solutions that scale with the business. Engineer for scale and reliability: Build and maintain systems that handle large catalogs, complex metadata, and high-traffic production workloads. Lead by example: Mentor other engineers, participate in technical decision-making, and help raise the bar for code quality, maintainability, and best practices. Create real impact: Your work will directly influence how creators discover content, how artists are managed, and how we operates internally at scale.

Were looking for a Tech Lead to join our team in our Tel Aviv office (Hybrid) with deep technical expertise who is excited to lead architecture, delivery, and culture across our Tel Aviv-based R&D team. This is a hands-on tech lead role focused on owning business-critical products and driving cross-functional execution across design, product, DevOps, and engineering. Youll lead by example - mentoring others, delivering scalable systems, and owning reliability, performance, and velocity across your domain. Hybrid work is available.
Responsibilities:
This role involves approximately 70% backend development and 30% frontend, with a strong emphasis on building scalable backend systems.
Drive cross-functional technical initiatives and own end-to-end delivery of critical product features using a JavaScript-centric stack (Node.js, React, Next.js, TypeScript).
Guide the team through design reviews, technical tradeoffs, refactoring, software quality improvements, and long-term architectural planning.
Set technical direction for the team while aligning with company-wide product and architecture goals.
Multiply the impact of the team: mentor engineers, promote best practices, and raise the technical bar across the board.
Collaborate closely with Product, UX, QA, and other engineers to turn business goals into scalable systems.
Lead and mature CI/CD processes, DevOps collaboration, deployment automation, and cloud-native infrastructure practices.
Take ownership of production health: drive the culture and systems for monitoring, observability, and fast recovery from incidents.
Lead post-incident reviews, improve telemetry, and drive systemic fixes that improve reliability and developer feedback loops.

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 part of our Server Chip Design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
As a Design & Power Methodology Team Manager within the Server Chip Design team, you will be responsible of managing and leading design and power methodologies from IP to SoC, pre and post silicon. You will be responsible for mentoring and developing team members and tech leads while driving improvements in leadership, technical execution, and design flows.
You will work closely with CAD vendors and internal teams to develop lead design and power methodology and execution.
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, 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
Manage a team of tech leads and designers. Develop and mentor team members, and communicate and co-work with multi-disciplined and multi-site teams.
Lead flow and methodology development and assimilation across multiple groups. Work closely with CAD tool providers as well as internal CAD teams.
Plan, execute, track progress, assure quality, and report status.
Work closely with internal customers and support multiple activities and deliverables.
Drive design methodologies such as design construction, CDC, RDC, SDC. Drive power at: IP and SoC RTL/Gate Level Optimization, estimation, correlation.

We are hiring a super talented Senior Full Stack JavaScript Engineer to join our team in our Tel Aviv office. Hybrid work is also offered. We have a very exciting roadmap of features planned and are looking for someone who thrives in an innovative, fast-paced environment where their voice is heard when building new features or using new components.
Responsibilities:
Help build new features into the existing product, and optimize existing pages.
Deliver full stack features end-to-end in production environments, from idea to user value.
Help discover, diagnose, and fix any bugs or issues.
Work with the design team to ensure everything matches our brand, is responsive, and works perfectly.
Respond and troubleshoot any downtime events and create systems and procedures to prevent them from happening.
Build automated QA tests to run before deploying to production.
Brainstorm new ideas to enhance the software in any way.
Collaborate closely with Product, Design, and QA to iterate on features and user experience.
Proactively communicate progress, challenges, and tradeoffs.
Help lead projects, build our dev team and mentor junior developers.

Were looking for a Frontend Infrastructure Tech Lead to join our Tel Aviv office. In this role, you will architect, build, and lead the core frontend platforms, design systems, and developer experience tooling that power all product squads.
Youll own the technical vision for the frontend architecture and enable teams to ship faster, more reliably, and with a consistent, high-quality user experience. This is a hands-on technical leadership role focused on frameworks, shared libraries, UI platforms, testing standards, and scalable frontend infrastructure.
Responsibilities:
Define and enforce standards for performance, reliability, testing quality, and UI/UX consistency.
Own the design system, component library, and reusable UI frameworks that unify UX across products.
Build and maintain core developer experience tooling: build systems, component testing frameworks, Storybook infrastructure, and shared CI/CD workflows.
Drive frontend reliability, and rollout safety using observability, performance metrics, and feature-flag systems.
Partner with squads and cross-functional teams to guide best practices in accessibility, performance, testing, and maintainability.
Lead major frontend initiatives such as migrations, framework upgrades, and platform-wide refactors.

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.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
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, 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
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other company Software teams.

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 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 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, 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
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.

Were looking for a Backend Infrastructure Tech Lead to join our Tel Aviv office. Hands-on role focused on building, scaling, and evolving the backend platforms, infrastructure, and internal tooling that power & enable our product engineering squads.
You will design core frameworks, microservice foundations, delivery pipelines, and cloud-native systems that accelerate development speed, improve reliability, and enable product teams to build confidently and independently. Your work directly improves engineering velocity, architecture quality, and operational excellence across the company.
Responsibilities
Build resilient, high-scale backend services in a modern Node.js / TypeScript ecosystem.
Partner with squads to drive best practices, improve developer experience, and enable fast, reliable delivery.
Own core backend platform foundations: microservice skeletons, shared libraries, event-driven patterns, and internal services.
Develop and maintain key frameworks for distributed logging, metrics/telemetry, testing (unit/integration/contract).

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, 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
Define and implement solutions for complex design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Involve in project development and convergence with the highest quality, agreement with issues as they arise through design and implementation, or equivalent relevant experience.
Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

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.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, 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.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges 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 our company Cloud goals.

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, 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
Evaluate, analyze, implement, and integrate SRAMs, other memories (such as multiport register files), and custom circuits. Drive proper IP integration and margins with the physical design team.
Partner with foundries and IP providers, as well as internal technology, physical design, and architecture teams, to optimize products for PPA, schedule, and reliability in advanced CMOS nodes.
Drive and support test chip design, execution, and validation of critical circuit IPs.
Design and build custom circuits at the transistor and gate levels to support physical design and power-performance-area optimization.
Drive development of a leading edge technology platform for custom, high performance ASICs and SoCs, from design through manufacturing, packaging, and test.

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. 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 company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, 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
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.

At our company, were building the intelligence layer for the modern engineering era. As AI fundamentally reshapes how software is conceived and delivered, our platform provides engineering leaders with the precision insights and agentic workflow engines required to ship faster, smarter, and with higher quality.
We are looking for a Senior Product Manager to spearhead the scaling of our AI ecosystem. Youll be responsible for bridging the gap between data and autonomous action, ensuring that every developer-and every AI agent-is operating at their peak potential. Join us in defining the future of high-velocity, AI delivery.
Responsibilities:
Lead the product activity and development efforts in one of our main business domains, focusing on optimizing user experiences and driving product scalability.
Collaborate closely with cross-functional teams, including design, engineering, data analysis, and other stakeholders, to define product goals and priorities.
Identify opportunities for improvement and innovation and translate them into actionable plans and prototypes.
Drive the execution of product initiatives, ensuring alignment across other product teams within the organization.
Define and track KPIs to measure the success of initiatives and make data-driven decisions to optimize them.