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Required Senior System Hardware Architect
About the team:
Join our SoC Architecture team and help shape the next generation of EyeQ-based automotive compute platforms for ADAS, autonomous driving, and Robotaxi applications.
In this role, you will define system-level hardware architectures and translate complex product and customer needs into scalable, robust, and production-ready platforms. Youll work across SoC, hardware, software, safety, security, and product teams, influencing key architectural decisions from concept through deployment.
Why Join Us?
Shape our next-generation automotive compute platforms.
Work across EyeQ SoCs, ADAS, autonomous driving, and Robotaxi technologies.
Influence platform decisions from early concept through deployment.
Collaborate with leading experts across hardware, software, SoC architecture, safety, and security.
Solve complex multidisciplinary challenges that will shape future vehicle architectures.
What will your job look like:
Define system hardware architectures for EyeQ-based automotive compute platforms, reference systems, and customer configurations.
Architect the integration of EyeQ SoCs with MCUs, memories, cameras, radars, lidars, SerDes devices, Ethernet switches, and other platform components.
Lead architectural decisions around system topology, connectivity, inter-SoC communication, power flows, logging, debug, and service interfaces.
Translate product and customer needs into clear system requirements, interface specifications, and design guidelines.
Drive system-level trade-offs across performance, bandwidth, power, thermal constraints, PCB area, cost, scalability, safety, and security.
Influence EyeQ SoC requirements and drive platform BOM and component architecture.
Collaborate across hardware, SoC, software, functional safety, cybersecurity, validation, product, and business teams.
Review system and customer architectures, identify integration risks, and provide guidance throughout design, bring-up, and validation.
Support technical engagements with OEMs, Tier 1 suppliers, semiconductor vendors, and technology partners

Were expanding our teams and looking for an Experienced Physical Design Engineer who is ready to make a massive impact
NOTE: By applying for this position, you will have the opportunity to indicate your preferred work location: Haifa or Petach Tikva.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

At our company, we work every single day to craft products that enrich peoples lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for an exceptionally talented Design Verification Engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of our customers every single day.

The position is relevant to all our sites: Herzliya, Haifa and Jerusalem

In this role, you'll participate in the architecture of next-generation PHY, conduct RTL implementation of the micro-architecture, and participate in clearly defining specification, testing, and verification of the PHY design.
Work in collaboration with CAD, PD teams to implement RTL design into GDS, run various design verification flows and provide guidelines to other designers, and participate in establishing CAD and design methodologies for correct-by-construction designs

As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise )

Imagine what you could do here. At our company, new ideas have a way of becoming extraordinary products very quickly.
Do you want to bring passion and dedication to your job? There's no telling what you could accomplish at our company .Do you want to join us to help deliver the next groundbreaking our products?

The company SoC design team is looking for an experienced engineer to develop our compute SoCs power management system. Role expectations include working with partner Design teams, Physical design, verification, Platform Architecture and Software teams to define the power system micro architecture, implement the required HW and integrate it to a complex multi chip system.

In this visible role, you will be responsible for taking part of a SoC verification process of a large scale SoC.
You will develop verification test plans, tools, test benches, protocol monitors, and high-coverage stimulus vectors. Apply advanced techniques to achieve verification with the highest quality, productivity, and time-to-market. You will work closely with the design team to ensure timely delivery of quality designs.
Working with methods to accelerate verification time.

Imagine what you could do here. At our company, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people who work here have reinvented entire industries with all our Hardware products. The same passion for innovation that goes into our products also applies to our practices - strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking our products.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.

Required Design AI Lead, 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 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
Lead an edge AI IP design team including definition, implementation and deployment, and define IP development methodologies sharing unified blocks within the IP design team.
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Demonstrate technical involvement throughout the entire Intellectual Property (IP) development cycle, ensuring seamless integration into System-on-Chip (SoC).
Perform RTL development (e.g., coding and debug in SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Collaborate closely with software, verification, emulation, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.

Required Edge-AI Verification Lead, 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.
In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of 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
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with Architecture, Software, Design, and Physical Design stakeholders to make technical decisions and represent project status throughout the development process.

Required SoC Edge-AI Design Verification 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.
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.
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 Universal Verification Methodology (UVM), or formally verify designs with SystemVerilog Assertions (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.

Required Senior SoC Design Verification 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.
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.
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.

Required ML Hardware Achitect
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

Required Edge-AI SOC Verification Lead, 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.
In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of 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
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with architecture, software, design, and physical design stakeholders to make technical decisions and represent project status throughout the development process.

Our company is seeking a Hardware Development Team Lead to lead cross-functional development and integration activities across the organization. The successful candidate will oversee collaboration between all engineering disciplines, including Hardware, RF, Software, and Firmware, while serving as the key interface with the Systems Engineering team.
Key Responsibilities:
Lead and directly manage a multidisciplinary engineering team developing complex systems, including Mechanical, Hardware, Firmware, and RF engineers, ensuring execution according to project plans, schedules, and objectives.
Lead end-to-end product development, including system architecture definition, technical oversight, prototype development, and design verification and validation (V&V).
Serve as the primary liaison between development engineers, the Systems Engineering team, and Project Managers.
Evaluate, introduce, and implement new development tools, methodologies, and emerging technologies.
Define priorities and allocate engineering tasks based on business needs, project requirements, and market considerations.
Establish engineering methodologies, development processes, project milestones, and required deliverables for internal design reviews (PDR, CDR, etc.).
Define engineering roles and responsibilities, recruit new team members, mentor engineers, conduct performance evaluations, and develop individualized professional growth plans.
Conduct routine management activities, including status meetings, management reviews, and project progress meetings.
Prepare technical responses for project tenders (RFPs), including technical proposals, effort estimation, and cost evaluation.
Provide technical support for both internal engineering challenges and customer-facing technical issues.
Lead internal and customer design reviews as required.