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Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
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
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

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 an end-to-end networking stack using your knowledge.
The ML, Systems, and Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead an ASIC subsystem.
Understand how it 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 closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

Required Senior VLSI Backend Engineer
We are looking for talented and ambitious individuals to join our Yoqneam IC team.
Roles and responsibilities
The candidate will join our BE team, focusing on Full-Chip floor-planning, timing closure and integration, collaborating closely with frontend design, architecture, physical design, and analog teams. Additionally, the candidate will provide support to design teams across various methodologies and contribute to project execution efforts.
What will the candidate be doing
Lead Full Chip Layout activities & methodologies for a brand new SoC, from definition to Tape Out.
Floor Planning Top to Bottom & Bottom up - FC, Sub System & Block level.
Involved in chip architecture, in close collaboration with the packaging, design & architecture teams. Exploring different floorplan structures to achieve both best area & ease of convergence.
Drive sign-off timing convergence for high performance designs at Full-chip and building block level.
Involved in definition of overall STA methodology, STA infrastructure and sign-off convergence flows, working closely with block owners throughout the project for sign-off timing convergence.
Work closely with EDA (Electronic Design Automation) vendors on latest tool feature development and qualification.

We are searching for a forward-thinking Software Engineer to join our VLSI Design Automation Infrastructure team. We are looking for a candidate who looks beyond traditional scripting and is eager to leverage Artificial Intelligence and Machine Learning to revolutionize how we build chips.

In this role, you will manage high-performance compute and storage environments while pioneering the integration of AI-driven tools into our workflows. You wont just maintain the infrastructure; you will modernize it-using LLMs to optimize code, ML to predict compute bottlenecks, and intelligent automation to streamline the backend networking team's success.

What youll be doing:

AI-Driven Optimization: Leverage AI/ML methodologies to analyze compute and storage patterns, predicting resource needs and optimizing LSF grid performance.

Next-Gen Tooling: Design and develop intelligent scripts and automation tools, integrating Generative AI (LLMs) to accelerate debugging and workflow generation.

Infrastructure Management: oversee complex On-Prem environments (LSF) and storage solutions, ensuring maximum uptime for critical VLSI projects.

Data Visualization: Build dynamic, data-driven dashboards that not only report status but utilize analytics to provide actionable insights on infrastructure health.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

be part of a unique FC team of experts who have deep understanding in all FC aspects, especially integration and STA.

Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.

Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.

Taking part inflows development.

we are looking for a Senior CAD Engineer.
What you'll do
You'll be joining our Physical Design team within Silicon One, which is responsible for the entire backend methodology and flow development from RTL to GDS. This is a critical part of the group leading the development of high-quality VLSI designs.
Our Backend Engineers handle all aspects of chip design, including Definition, Physical Synthesis, Place and Route, Optimization, Timing Closure, Design Floor Planning.
You will be the tech lead for CAD within the team, leveraging your extensive backend and physical design experience to drive the development, optimization, and innovation of CAD methodologies and tools, ensuring the highest quality and efficiency in our chip design flows from RTL to GDS.
We demonstrate the latest silicon technologies and processes to build the largest-scale and most complex devices, pushing the boundaries of feasibility.

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products.
Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements

We are seeking an experienced ASIC AI/ML Engineer with deep expertise in AI/ML infrastructure and application development specifically for semiconductor design verification disciplines. The ideal candidate will have a proven track record of delivering end-to-end AI solutions from concept to large-scale production deployment.
In this role, you will collaborate directly with architects, designers, verification engineers, software teams, and backend specialists to define best practices and deploy production-ready AI-driven workflows and applications. Your focus will be on implementing LLM, GenAI, and classical ML solutions that transform our ASIC design verification processes and accelerate our path to tape-out.
Key job responsibilities
Develop and maintain scalable AI/ML infrastructure for ASIC design and verification teams
Architect, develop, and deploy production-ready AI/ML applications for semiconductor design workflows
Design and implement GenAI solutions including LLMs and agentic AI systems for verification processes Invent innovative AI-driven solutions to eliminate identified inefficiencies in design and verification flows
Establish best practices and standards for AI/ML application development in semiconductor environments
Create monitoring and observability frameworks for AI model performance in production design environments
Collaborate cross-functionally with architects, designers, verification engineers, and software teams
Research and evaluate emerging AI technologies for applicability to semiconductor design challenges.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers.
Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.
What You'll Do:
Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team.

As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking architectural solutions. You'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more.

What youll be doing:
Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within us to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

Our Networking Solutions Labs seek a forward-thinking, innovative, and experienced Solutions Architect with hands-on experience.

By joining the team, youll take a part in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and analyze new, groundbreaking technologies.

The candidate is expected to have hands-on experience with data center technologies, including operating systems, virtualization and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible. A candidate for this position must excel at working independently as well as in a group, in a multidisciplinary, dynamic environment.

What youll be doing:
Implement cutting-edge, end-to-end data center solutions with modern applications.
Architect, develop, deploy, automate, analyze, formalize findings, and release summary reports.
Develop and release reference deployment guides and how-to tutorials.
Support company business units on complex solutions delivery by consulting, providing solutions designs, running POCs, etc.
Research technology trends and deliver best practices for integrating our products and technologies.

We are looking for a Solution Architect, System Integrator to join our team. 

What you will be doing:

As a Solution Architect, you will be an essential member of our Customer Success Technical Delivery team. You will collaborate with product, sales and engineering to deliver the latest security and identity products.

You will be responsible for the technical aspects of security and identity products offered to our customers during post-sale activities.

Providing technical solutions to meet customers business and technical goals.

Lead the technical aspect of a production deployment in our customers environment including deployment design, technical assistance during the deployment, troubleshooting and resolving configuration issues.

Troubleshoot client Windows Server OS and Active Directory issues that may arise during deployment.

Provide technical support for our customers after the deployment was completed.

Convey and document technical requirements to and from customers.

Provide input and feedback to engineering and development teams.

Maintain expert knowledge of products to develop and present unique solutions and maintain knowledge of emerging trends in related technology areas.

As a Pre-Sales Solution Architect, you will be responsible for providing presale support to our clients, including demonstrations, documentation, proof-of-concept presentations, and other technical materials. You will also work closely with our delivery and sales teams to ensure that client requirements are fully understood and integrated.

As a trusted customer advocate, the Pre-Sales Cloud Solution Architect helps customers work with AWS cloud to adopt advanced cloud-based solutions and migrate existing on-premise workloads to the cloud. In this role, you will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS technologies.



Summary of Key Responsibilities

Collaboration with the sales and account managers to identify and understand customer needs, pain points, and business objectives
Provide technical expertise and guidance to customers, demonstrating a deep understanding of AWS services, cloud architectural best practices, and migration strategies
Design and develop innovative cloud solutions tailored to meet customers' needs, considering cloud best practices with an emphasis on security principles such as Zero Trust and Least Privilege.
Conduct and lead technical presentations to showcase the value and capabilities of AWS cloud solutions
Prepare and deliver proposals, technical documentation, and presentations that effectively communicate solution architectures to clients, including a detailed description of the Security Architecture.
Collaborate with internal teams, including solution architects, devops, and project managers, to ensure seamless transition from pre-sales to post-sales
Stay up-to-date with the latest AWS services, industry trends, and emerging technologies, continually expanding
Building strong relationships and providing ongoing technical guidance throughout the sales cycle

As QA Architect, you will be collaborating with an individual SaaS development team, that uses the latest technologies in continuous delivery to secure the top enterprises in the world. You will serve as the QA architect in the R&D team, committed to the quality of the released content and define QA work procedures, guidelines, and design the entire testing process.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Develop and maintain expertise in the creation and deployment of fully integrated environments
Define, implement, and manage QA processes, including the specification of required test plans and procedures.
Actively track the teams tasks, conduct testing of features during development to ensure adherence to specifications and quality standards.
Perform efficient log analysis and reproduce customer issues quickly to facilitate timely resolution.
Analyze and challenge existing testing coverage
Implement automation tests for new features and coverage gaps
Maintain and prioritize backlogs of open issues and bugs, ensuring effective tracking and resolution.
Monitor the test and production environments, using DevOps tools.