דרושים » הנדסה » Expert IC Package Design Lead

As we expand our presence in Israel, we're seeking a highly skilled Physical Design Engineer specializing in SoC EMIR to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the backend power methodologies for chips that power the world's largest AI clusters. As an EMIR Engineer, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon.

You will be responsible for SoC EMIR Analysis to ensure our products meet aggressive voltage drop and reliability targets in advanced FinFET process nodes, directly impacting the performance and yield of chips operating in the worlds most demanding AI and cloud environments.

Key Responsibilities
Take responsibility on IR drop analysis and signal/power electromigration (EM) of very complex chip.
Collaborate closely with Physical Design team to insure a full power integrity.
Partner with Package Design engineers to perform Chip-Package co-analysis (CPM).
Understand root-cause analysis for voltage drop violations and EM risks.

As we expand our presence in Israel, we're seeking a highly skilled Physical Design Engineer specializing in SoC EMIR to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the backend power methodologies for chips that power the world's largest AI clusters. As an EMIR Engineer, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon.

You will be responsible for SoC EMIR Analysis to ensure our products meet aggressive voltage drop and reliability targets in advanced FinFET process nodes, directly impacting the performance and yield of chips operating in the worlds most demanding AI and cloud environments.

Key Responsibilities
Take responsibility on IR drop analysis and signal/power electromigration (EM) of very complex chip.
Collaborate closely with Physical Design team to insure a full power integrity
Be responsible on IR architecture for timing convergence.
Partner with Package Design engineers to perform Chip-Package co-analysis (CPM).
Understand root-cause analysis for voltage drop violations and EM risks.
Be responsible and go-to person for any IR related issues.

As we expand our presence in Israel, we're seeking a highly skilled Chip Top Physical Design Engineer focusing on implementation to join our local engineering powerhouse from the ground up.
If you thrive on solving complex, unnamed challenges in deep-submicron processes, your place is with us.

As a Physical Design Engineer, you will be a key hands-on member of our PD Team in the Israel R&D center. You will execute the physical design of the SoC Top level for chips that drive the worlds largest AI clusters. You will be deeply involved in all PD disciplines of the chip, driving the tape-out (T.O.) GDS to meet strict signoff criteria (Timing, LVS, EMIR, DRC, PV, etc.), ensuring our silicon meets the extreme performance, power, and area (PPA) targets required for AI scale.

Key Responsibilities
Execute SoC Top-level physical design and actively drive full-chip convergence.
Perform Top-Level physical implementation, including floor-planning, Place & Route (P&R), Clock Tree Synthesis (CTS), Power/Clock distribution, Power Integrity, and Timing/Physical signoff.
Work closely with the Architecture, Design, DFT, and Product teams to achieve optimal Power, Performance, and Area (PPA). This involves participating in feasibility studies for new architectures and optimizing runs to ensure the best Quality of Results (QoR).
Resolve complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon.
Collaborate closely with the Package team on Bump-map-to-Ballout design, taking all signal integrity aspects into consideration.

Required SoC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. This is an opportunity to create silicon and follow it into the field (and back!) to drive improvements for the next-generations of chips.
In this role, you will understand Integrated circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure robust silicon and package verification.
Execute comprehensive silicon and package qualification programs (including HTOL, ELFR, ESD/LU, b/HAST, etc.) and conduct in-depth failure analysis to resolve quality issues.
Extract and analyze large-scale data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, TDDB, NBTI) to predict device failure mechanisms and lifetime behaviors.

Required SOC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving quality and reliability processes from the integrated circuit perspective. You will create silicon and follow it into the field (and back) to drive improvements for the next generations of chips.
You will have an understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.

Responsibilities
Drive the strategic definition and development of design-for-reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge/latch-up (ESD/LU), biased highly accelerated stress test (b/HAST), etc.) and conduct failure analysis to resolve quality issues.
Extract and analyze data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, time-dependent dielectric breakdown (TDDB), negative bias temperature instability (NBTI) to predict device failure mechanisms and lifetime behaviors.

As we expand our presence in Israel, we're seeking a visionary Physical Design Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the backend execution and methodologies for chips that power the world's largest AI clusters.

As a Physical Design Engineer, you will be a key architect of our silicon's physical reality. You won't just execute a flow-you will help establish our local execution culture and technical standards, owning the transformation of complex logic into high-performance silicon. You will drive the physical implementation journey from synthesis through signoff, ensuring our connectivity solutions meet the extreme performance, power, and area targets required for next-generation AI infrastructure. If you thrive on solving complex challenges in deep-submicron processes and want to shape the backend methodology for AI infrastructure connectivity, this is your opportunity.

Key Responsibilities

Physical Implementation & Execution
Be part of the founding Backend team in Israel, playing a critical role in establishing local execution culture and technical standards
Take full responsibility for physical implementation journey including Synthesis, Floorplanning, Place & Route, and Clock-Tree Synthesis (CTS)
Own macro-level implementation with deep hands-on experience in floorplanning and complex routing

Signoff & Design Integrity
Drive final stages of design integrity, owning Timing signoff (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR)
Ensure first-pass silicon success through rigorous signoff flows and analysis
Apply Logic Equivalence Checking (LEC) and other verification techniques to guarantee design correctness

Methodology Development & Cross-Functional Collaboration
Participate in defining and refining Backend methodologies with autonomy to improve workflows and tool automation
Work closely with Architecture, Design, and DFT teams to navigate challenges of advanced process nodes and high-speed connectivity
Leverage scripting and automation to make engineering environment faster and more robust

Required Power and Signal Integrity Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
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.
As a Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives.
You'll set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Design and optimize power distribution networks (PDN) across chip, package, and board levels.
Manage power/ground planes, decoupling capacitors, and power gating strategies.
Conduct both pre-layout and post-layout power integrity simulations to analyze power and ground noise (SSN/SSO), voltage drops (IR drop), and electromagnetic interference (EMI).

As we expand our presence in Israel, we're seeking a visionary Principal DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters.

As a Principal DFT Engineer, you will provide technical leadership across the full DFT lifecycle-from architecture and specification through implementation, verification, and silicon bring-up. You will define and drive DFT strategy, establish robust methodologies, and lead execution to ensure high test quality and manufacturability. This role requires deep expertise, cross-functional influence, and the ability to drive DFT excellence across projects and teams.
This is a critical leadership position with high impact on first-pass silicon success and production quality for next-generation AI connectivity solutions.
Key Responsibilities

DFT Architecture & Technical Leadership
Define and own DFT architecture for complex SoCs, including Scan, MBIST, LBIST, JTAG/iJTAG, and ATPG strategies.
Lead DFT planning, specification, and quality tracking across the project lifecycle.
Provide technical leadership and drive DFT sign-off readiness to ensure successful tapeout.

Execution Across the Full Lifecycle
Lead DFT implementation, integration, and verification at block, full-chip and chiplet levels.
Own end-to-end DFT activities from specification through silicon bring-up and production support.
Ensure high test coverage, robust pattern generation, and alignment with manufacturing requirements.

Methodology & Cross-Functional Impact
Develop and drive scalable DFT methodologies, flows, and automation frameworks.
Collaborate closely with RTL, Physical Design, STA, and Test Engineering teams to ensure design-for-test readiness.
Optimize DFT integration across front-end and backend flows to improve quality, PPA, and turnaround time.

Required SOC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. You will have an opportunity to create silicon and follow it into the field and back to drive improvements for the next-generations of chips.
You will have an understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis is expected. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. You will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.
The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind our groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Lead the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Establish and direct the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge and latch-up (ESD/LU), and biased highly accelerated stress test (b/HAST)) and conduct in-depth failure analysis to resolve quality issues.

As we expand our presence in Israel, we're seeking a visionary Junior Physical Design Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the backend execution and methodologies for chips that power the world's largest AI clusters.

As a Junior Physical Design Engineer, you will be a key architect of our silicon's physical reality. You won't just execute a flow-you will help establish our local execution culture and technical standards, owning the transformation of complex logic into high-performance silicon. You will drive the physical implementation journey from synthesis through signoff, ensuring our connectivity solutions meet the extreme performance, power, and area targets required for next-generation AI infrastructure. If you thrive on solving complex challenges in deep-submicron processes and want to shape the backend methodology for AI infrastructure connectivity, this is your opportunity.

Key Responsibilities

Physical Implementation & Execution
Be part of the founding Backend team in Israel, playing a critical role in establishing local execution culture and technical standards
Take full responsibility for physical implementation journey including Synthesis, Floorplanning, Place & Route, and Clock-Tree Synthesis (CTS)
Own macro-level implementation with deep hands-on experience in floorplanning and complex routing.

Signoff & Design Integrity
Drive final stages of design integrity, owning Timing signoff (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR)
Ensure first-pass silicon success through rigorous signoff flows and analysis
Apply Logic Equivalence Checking (LEC) and other verification techniques to guarantee design correctness.

Methodology Development & Cross-Functional Collaboration
Participate in defining and refining Backend methodologies with autonomy to improve workflows and tool automation.
Work closely with Architecture, Design, and DFT teams to navigate challenges of advanced process nodes and high-speed connectivity.
Leverage scripting and automation to make engineering environment faster and more robust.