In this role, you can lead our teams to deliver fully functional "first silicon" IP designs, from defining initial constraints through high-quality tape-out. You will have the rare and rewarding privilege of crafting upcoming products that will delight and inspire millions of customers every single day.
Responsibilities
Own the entire IP-level netlist generation and timing convergence journey, from synthesis and UPF power intent to final sign-off.
Architect and manage complex timing constraints (SDC) for both standard and custom designs, ensuring sign-off quality from day one.
Drive Full Chip and block-level timing/noise convergence, including hierarchical timing flows and power optimizations.
Collaborate closely with RTL designers to understand clock architecture, DFT teams on mode constraints, and PNR teams to achieve flawless physical convergence.
Develop and support automated block and chip-level sign-off flows, working with CAD teams to shape cutting-edge methodologies that eliminate pessimism and accelerate convergence.
Perform deep-dive signal integrity (SI) and noise analysis, drive custom IP integration, and generate block-level budgets to ensure correlation with the Full Chip.

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 google customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include googlers, google cloud customers, and billions of google users worldwide. we're the driving force behind google'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 google cloud, google 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're seeking a highly skilled Physical Design Engineer specializing in EMIR & Power Integrity 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 a Physical Design Engineer, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon.

You will execute the Electro-Migration and IR Drop (EMIR) analysis and sign-off from block level to full-chip, working closely at the intersection of Physical Design, Analog/Mixed-Signal design, and Package Engineering. You will be responsible for validating power grid architectures 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

Execute static and dynamic IR drop analysis, signal/power electromigration (EM) verification, and self-heat analysis from the block level through to full-chip sign-off
Implement and maintain robust EMIR flows and methodologies using industry-standard tools (Ansys RedHawk-SC, Cadence Voltus, or equivalent)
Work with Physical Design teams to implement optimal power grid structures, via pillars, and strap distributions to minimize voltage drop while maximizing routing resources
Collaborate closely with Analog/SerDes designers to analyze current profiles and ensure robust power delivery to sensitive high-speed IP blocks
Partner with Package Design engineers to perform Chip-Package-System (CPS) co-analysis, optimizing bump patterns and package routing for superior Power Integrity
Perform root-cause analysis for voltage drop violations and EM risks, proposing and implementing layout fixes alongside the PD team
Verify current density rules for ESD protection networks and ensure compliance with strict foundry reliability constraints
Support silicon bring-up by correlating simulation results with actual silicon measurements and yield data

This is a highly visible role where you will own the physical design cycle at the partition, IP, and Chip levels-enabling us to produce fully functional "first silicon" designs. Do you love working on challenges that no one has solved yet? If you are ready to join the world's leading engineers and work with state-of-the-art design flows, come join our group.
Responsibilities
You will be responsible for all phases of pre-silicon development, from initial definition to high-quality tape-out (Netlist to GDSII).
Lead block-level Place & Route (PnR), complex floor-planning, partitioning, and the creation of power domains and grid specifications.
Develop and validate high-performance, low-power clock network guidelines and distribution.
Drive static timing closure (STA), Physical Verification (DRC/LVS), and Electrical/Power analysis (EM, IR-Drop, Xtalk, and Noise).
Participate in establishing CAD and physical design methodologies for "correct-by-construction" designs and assist in flow development for chip integration.
Generate and implement ECOs to fix timing, noise, and EM/IR violations while meeting strict area and power constraints.
Work closely with logic design teams on SoC architecture and HDL (Verilog) to implement timing fixes and design optimizations.

As the Physical Design Chip Top Expert you will be a Key member of our PD Team in Israel R&D center. You will run PD execution of SoC Top level for chips that drive the worlds largest AI clusters. As PD Top Level Lead, you will own all PD disciplines of the Chip and own the T.O GDS that meet the chip 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

SoC Top level Ownership and oversee the Chip convergence.
Take full ownership of Top Level physical implementation, including floor planning, P&R, 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 Area (PPA). This involves conducting feasibility studies for new architectures and optimizing runs to ensure the best Quality of Results (QoR)
Address complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon
Work Closely with Package team on Bump map to Ballout taking into consideration all Signal integrity aspects

As a Staff Physical STA Expert , you will hold the keys to silicon success. You will be leading the STA activities end-to-end from Chip partition, Time budgeting through signoff of all the chips we develop. You will build and lead the STA team to run several chips signoffs in parallel. In addition, You will define the sign-off methodology for chips that power the worlds most advanced AI clusters. You will act as the central nervous system of the design process, bridging the gap between Architecture, Design, DFT, and Physical Design to ensure our high-performance silicon meets the aggressive timing targets required for next-generation connectivity.

Key Responsibilities

Take full ownership of the STA flow and sign-off methodologies. You will establish the rigorous criteria that ensure our products succeed in the most demanding data center environments
Collaborate closely with Architecture, Design, DFT, and Backend teams. You will lead timing reviews and work closely with block owners to navigate the path to sign-off convergence
Develop, optimize, and manage complex SDC constraints from the ground up, ensuring they are robust across multi-scenario environments
Tackle the challenges of cross-chip clock distribution networks and sophisticated margining techniques, ensuring robust silicon across all process corners
Have a passion for better workflows? Youll participate in design methodology improvements and tool automation, utilizing both industry-standard EDA tools and in-house automation to make our sign-off process faster and smarter

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

we're seeking a highly skilled Static Timing Analysis (STA) Engineer 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 sign-off methodology for chips that power the world's most advanced AI clusters. As an STA Engineer, you will be deeply involved in the STA activities from chip partition and time budgeting through to final sign-off. You will bridge the gap between Architecture, Design, DFT, and Physical Design to ensure our high-performance silicon meets the aggressive timing targets required for next-generation connectivity.

Key Responsibilities


Execute the STA flow and sign-off methodologies, ensuring our products meet rigorous timing criteria for the most demanding data center environments
Collaborate closely with Architecture, Design, DFT, and Backend teams, participating in timing reviews and working with block owners to navigate the path to sign-off convergence
Develop, optimize, and manage complex SDC constraints, ensuring they are accurate and robust across multi-scenario environments
Analyze and resolve challenges related to cross-chip clock distribution networks and apply sophisticated margining techniques to ensure robust silicon across all process corners
Participate in design methodology improvements and tool automation, utilizing both industry-standard EDA tools and custom scripts to make our sign-off process faster and more efficient

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

As an Expert EMIR & Power Integrity Lead, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon. You will own from block level to full-chip the Electro-Migration and IR Drop (EMIR) methodology, analysis, and sign-off, working at the intersection of Physical Design, Analog/Mixed-Signal design, and Package Engineering.

You will be responsible for defining power grid architectures and validating that products meet aggressive voltage drop and reliability targets in advanced FinFET process nodes. Your work will directly impact the performance and yield of chips operating in the worlds most demanding AI and cloud environments.

Key Responsibilities

Lead static and dynamic IR drop analysis, signal/power electromigration (EM) verification, and self-heat analysis from block level to full-chip sign-off
Define and implement robust EMIR flows and methodologies using industry-standard tools (Ansys RedHawk-SC, Cadence Voltus, or equivalent)
Collaborate with Physical Design teams to define optimal power grid structures, via pillars, and strap distributions to minimize voltage drop while maximizing routing resources
Work closely with Analog/SerDes designers to analyze current profiles and ensure robust power delivery to sensitive high-speed IP blocks
Partner with Package Design engineers to perform Chip-Package-System (CPS) co-analysis, optimizing bump patterns and package routing for superior Power Integrity
Drive root-cause analysis for voltage drop violations and EM risks; propose and implement layout fixes alongside the PD team
Verify current density rules for ESD protection networks and ensure compliance with foundry reliability constraints
Support silicon bring-up by correlating simulation results with actual silicon measurements and yield data