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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.
Our portfolio spans CPU, TPU, Networking and other key data center technologies, which power our company's most demanding Compute and AI/ML applications.
In this role, youll work to shape the future of strategic Data Center silicon. Youll be an early and key contributor in a nascent high-growth team that pushes boundaries, developing advanced custom IP and solutions. You will require expertise in one or more of the following areas: wireline communications, analog circuit design, Digital Signal Processor (DSP) design and algorithms, signal integrity, transmission line theory, advanced analog and mixed-signal modeling, high-speed clocking, Clock and Data Recovery (CDR), equalization, high-speed input/output (IO) industry standards. Your role has a significant component of cross-collaboration with a broad set of cross-functional organizations. You'll bring out the best in the team to deliver designs that serve many of our companys advanced data center products.
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
Architect and design high-speed analog/digital circuits (ADC, DAC, PLL, CDR, DSP), including optimizing for Power, Performance, and Area (PPA).
Model and simulate channel behavior (S-parameters), signal integrity, and jitter using tools like MATLAB.
Bring up new silicon, characterize performance, and test for electrical compliance in lab environments.
Work with packaging, board design, and firmware teams to ensure seamless integration into System-on-Chips (SoCs).
Adhere to standards like IEEE or OIF for high-speed protocols and optimize power consumption.

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.

Our Formal Verification (FV) team is seeking a visionary AI Verification Engineer to join our elite Networking Chip Design group. Our team is unique: we define the infrastructure and drive the methodologies for proving the correctness of the worlds most advanced AI and networking architectures. We operate at the cutting edge, leveraging a sophisticated ecosystem of proprietary in-house formal tools and industry-leading vendor EDA solutions.

In this role, you will be a key architect in our "AI-for-FV" evolution. You will work in close collaboration with our internal CAD and Design Technology AI teams to enhance our in-house toolset with artificial intelligence. You won't just be using tools; you will be building the "brains" that sit on top of them-utilizing LLMs and Machine Learning to automate intent-to-proof workflows and debug complex chips with unprecedented speed.

What Youll Be Doing:

In-House Tool Evolution: Partner closely with internal CAD teams to integrate AI capabilities directly into our proprietary FV infrastructure.

Methodology Architecture: Define and evolve the FV teams specialized methodologies, moving from manual property writing to AI-automated assertions.

Next-Gen Orchestration: Develop and integrate AI agents and ML models that interface with our toolchain to automate "intent-to-assertion" workflows and optimize coverage and convergence.

Intelligent Debugging: Create AI-based debug assistants that analyze formal counter-examples, categorize failures, and autonomously suggest fixes for complex logic problems.

Collaborative Intelligence: Act as the bridge between the FV team, Design Technology AI, and CAD groups to ensure our AI solutions provide end-to-end efficiency from RTL to A0 tapeout.

Leadership & Training: Act as the authority on AI integration, training the broader team on how to leverage "human-in-the-loop" AI tools and automated methodologies.

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, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware (FW), Software (SW), Design, Design Verification (DV), Architecture (ARCH) and multiple production teams.
Provide a quality functional coverage for our company designs.
Test Development and Automation, Design, implement, and maintain validation tests using scripting and programming languages (e.g., Python, C/C++) to verify SmartNIC functionality and performance.

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 Design Verification Engineer, you will work as part of a research and development team, and will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification. You will build efficient and effective 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, test execution or collecting, and closing coverage.
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 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 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.

our company's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets our company's standards of quality and reliability.
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
Design, develop, and maintain CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
Administer and optimize the front-end compute environment, ensuring reliability, performance, and scalability.
Provide technical support and training to Design and Verification teams on the use of CAD tools, scripts, and the compute environment.
Identify opportunities to enhance front-end development workflows, implement improvements, and document best practices.
Work closely with design, verification, and CAD teams to understand their needs, gather requirements, and deliver effective solutions.

We are looking for a talented and experienced engineer to participate in the physical design of the companys product for leading one of Nextsilison BE projects. This position involves working with external back-end developers as well as carrying out critical tasks in-house, and leading aggressive back-end initiatives to meet challenging targets in terms of area, timing, and layout. In this role, you will be at the center of the companys design efforts and will have a significant influence on product architecture.

Responsibilities:
Generate and analyze critical block- and chip-level static timing constraints
Spec and define full chip floor plan, including pin placement, partitions, and power grid.
Develop and validate high-performance, low-power clock network guidelines.
Perform critical block-level place and route and create designs that meet timing, area, and power constraints.
Review the vendors physical design verification flow at chip and block level and guide other designers on how to fix LVS and DRC violations.
Work with vendors on defining physical design methodologies and assist in flow development for chip integration.

At Lumissil, we are driving innovation in automotive technology, developing solutions that power the next generation of vehicles. We are looking for a Junior Engineer who is eager to learn, grow, and make an impact in a dynamic and innovative environment. This is a unique opportunity to work alongside experienced professionals, gain hands-on experience, and contribute to projects at the forefront of automotive electronics. If you are passionate about technology, curious to explore new challenges, and excited to make a real difference, Lumissil is the place to develop your skills, innovate, and grow your career. Why join us?
* Work on cutting-edge automotive projects
* Learn from a talented and supportive team
* Gain exposure to real-world automotive challenges
* Grow your career in a collaborative and inspiring environment If you’re ready to take the next step in your career and be part of something meaningful, we’d love to meet you! About The Position: As a Junior ASIC Design Engineer at Lumissil, you will take part in the full lifecycle of advanced chips that power the next generation of vehicles. This is a hands-on, growth-oriented role where you’ll work closely with experienced ASIC engineers, gain exposure to real silicon, and build a strong foundation in chip design and verification. In this role, you will:
* Be part of a professional ASIC team working on cutting-edge automotive solutions
* Support and learn from real emulation platforms used in production-grade designs
* Contribute to RTL implementation and gain practical experience in design flows
* Assist with verification and backend (BE) activities, learning industry best practices
* Participate in silicon bring-up, seeing your work come to life on real hardware This position is ideal for curious engineers who want to learn fast, take ownership, and grow into a key contributor in the world of automotive semiconductor design.

We are looking for an experienced, forward-thinking, focused, analytical, and motivated Engineer to take ownership for the NPI and suppliers management in order to meet company targets. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which NV products acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

The NPI engineer will work alongside with R&D BU, finance, engineering and various multi-functional teams, leading NPI products from am operational perspective
Work with our partners worldwide to establish a supply chain incorporating business, manufacturing, technology, Engineering, quality, and additional aspects to assure design acceptance and manufacturability
Identify critical-paths, bottlenecks and implement risk management methodologies.
Define and lead execution to ensure delivery on schedule according to SOW and budget
Pave the way for NPI Production transition: Active participation from very early pre-design stages, highlighting needed operational related aspects while defining the infrastructure for the future transfer to production stage.
Develop an in-depth understanding of the vendors manufacturing capabilities and influence current and future product qualifications and loading decisions
Develop and implement project management methodologies and processes to improve tracking, transparency, execution, and day-to-day efficiency
Report program status to senior management.

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 as part of a Research and Development team. You will build verification components, constrained-random testing, 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, test execution, to collecting and closing coverage.
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 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.

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 Silicon Validation Engineer at our company Cloud, you will play a pivotal role in the validation of our company's custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. With your expertise in post-silicon validation, you will be identifying and resolving issues before they impact our customers, ensuring a seamless and high performance cloud experience.
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. 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, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware, Software, Design, Design Verification, Architecture and multiple production teams.
Provide quality functional coverage for our company designs.
Test development and automation, design, implement, and maintain validation tests using scripting and programming languages (e.g., Python, C/C++) to verify SmartNIC functionality and performance.

abra , a leading integration company, is seeking a skilled Salesforce Solution Architect to design, implement, and deliver innovative, scalable Salesforce solutions that drive real business value. In this role, you will collaborate closely with business stakeholders and technical teams to translate complex requirements into robust architectures and best-practice solutions across multiple Salesforce clouds and integrated platforms. This position combines deep technical expertise with strong project leadership, including the ability to define timelines, manage priorities, and ensure successful delivery within scope and schedule. You will also act as a trusted advisor and mentor, fostering collaboration and guiding Salesforce professionals toward achieving strategic objectives. Key Responsibilities
* Design and implement Salesforce solutions with a focus on scalability, efficiency, and best practices
* Collaborate with business and technical stakeholders to analyze requirements and translate them into effective technical solutions
* Lead and contribute to project planning, estimation, and execution, managing tasks and priorities to ensure on-time delivery
* Provide technical guidance and mentorship to developers and implementers on Salesforce design patterns and best practices
* Work with cross-functional teams to integrate Salesforce with external systems and platforms
* Identify, troubleshoot, and resolve technical challenges while driving continuous improvement and optimization
* Stay up to date with Salesforce releases, new features, and industry trends to deliver innovative solutions

Were looking for a Data Architect to sit at the intersection of data engineering, ML systems, and platform architecture. This role is about designing the foundations that enable AI-native, low-latency experiences at scale - safely, reliably, and pragmatically.
Youll own architectural patterns, standards, and guardrails across the data platform, and work closely with Product, ML, and Platform teams to turn ambitious goals into resilient, measurable systems.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy designing systems that power AI and data products at scale
You care about clean architecture, clear contracts, and long-term platform health
Youre comfortable leading by influence across multiple teams
You balance modern, cutting-edge tech with pragmatic, fit-for-purpose decisions
You like getting hands-on when needed.

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

Required Chief Product Owner - High-Performance NAS & Parallel Filesystems
Join us as a Technical Staff -Chief Product Owner on our Lightning Engineering R&D team in Glil Yam (Herzliya) OR Beer-Sheva to help build the next generation of AI‑driven storage systems and influence cross‑program solution execution.
What youll achieve:
As a Chief Product Owner, you will:
Define and communicate a compelling product vision for scalable, resilient AI/HPC storage, driving competitive differentiation for demanding workloads.
Translate strategy into clear product goals, prioritize features for customer value and TCO, and manage a sequenced program backlog and value-driven release plan.
Lead sprint and release planning while ensuring execution alignment across globally distributed engineering teams and removing delivery impediments.
Provide deep domain leadership across NAS, parallel file systems, RDMA/InfiniBand, NVMe-oF, metadata scaling, data integrity, consistency models, and performance engineering.
Drive modern SDLC practices using AI copilots and agents across development, testing, reviews, and observability while managing risks across durability, availability, security, and performance.
​Job ID:R285896.