דרושים » תוכנה » Senior Emulation Engineer

As a Senior DFT Engineer at Astera Labs, you will be at the intersection of architecture, design, and production. You won't just run tools-you will be a foundational member of the team responsible for the entire lifecycle of our silicon's reliability. From defining initial DFT architecture to supporting post-silicon bring-up, your work ensures that the backbone of AI infrastructure connectivity is flawless and scalable. If you thrive on solving complex challenges in deep-submicron processes and want to establish world-class DFT methodologies, this is your opportunity.

Key Responsibilities

DFT Architecture & Strategy

Own the DFT journey from high-level architecture definition and RTL design to backend implementation and post-production support
Develop comprehensive Design-for-Testability (DFT) strategies for next-generation connectivity platforms, ensuring chips meet the highest quality standards
Define DFT architectures including JTAG/iJTAG, MBIST, Scan, and ATPG methodologies
Test Pattern Development & Optimization

Generate and optimize high-quality test and debug patterns for production
Perform Static Timing Analysis (STA) for DFT modes and conduct gate-level simulations to ensure robust performance
Drive test coverage and quality metrics to meet stringent manufacturing requirements
Cross-Functional Collaboration & Methodology Innovation

Act as a multidisciplinary bridge, collaborating closely with Architecture, Verification, and Backend teams to ensure seamless integration and optimal QoR
Participate in developing and maintaining cutting-edge DFT implementation flows
Automate and improve methodologies using advanced scripting and tools

As a Senior ASIC Design Engineer, you won't just build chips-you will be part of a team defining the next generation of AI infrastructure main components. The complex digital blocks under your micro-architecture and implementation responsibilities will power the world's largest AI clusters. You will own the journey from high-level definition through RTL implementation and backend support, transforming complex logic challenges into elegant, high-performance hardware. If you thrive on solving challenging problems in deep-submicron processes and want to contribute to the digital design foundation for AI infrastructure connectivity, this is your opportunity.

Key Responsibilities

Design Ownership & Implementation

Own the journey from high-level definition through micro-architecture, coding, and debug to backend implementation support
Tackle complex logic challenges and transform them into elegant, high-performance hardware solutions
Serve as the point of contact for your logic blocks, interacting with Architecture, Verification, and Backend teams
Quality Assurance & Design Optimization

Utilize industry-leading EDA tools (Lint, CDC, Synthesis, Timing, Power) and in-house quality assurance tools to ensure designs are robust, scalable, and power-efficient
Apply design techniques to meet PPA (Power, Performance, Area) targets
Contribute to design quality through verification and validation activities
Methodology Innovation & Collaboration

Participate in design methodology improvements and tool automation initiatives
Leverage AI assistance tools and contribute to in-house automation development to make engineering workflows faster and smarter
Collaborate effectively across teams to ensure seamless integration

about the job
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 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
collaborate with architecture, design, and verification teams to develop new product bring-up, validation, characterization, and qualification strategies, manufacturing TEST solutions for new high performance computing (hpc) products in advanced process technologies.
verify TEST solutions on pre-silicon models (simulation or emulation) and develop ate TEST modules, dc tests, binning, production flows, and characterization flows.
develop and validate TEST programs on ate platforms for new product integration (npi) in preparation for high volume manufacturing (hvm), working with ate vendors.
support product sustainability, including volume data analysis of screening and characterization data, TEST time and yield improvements, TEST escapees and return merchandise authorizations (rmas) assessments, failure localization, containment measure implementation, and partnership with design manufacturing, quality, and reliability teams to root cause and implement corrective actions.
develop tools, flows, and methodologies to continuously improve and automate the testing.

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

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

we're seeking a visionary Physical Design Subsystem (Multiple IPs/Partitions) Lead 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.

If you thrive on solving complex, unnamed challenges in deep-submicron processes, your place is with us.

As the Physical Design Subsystem (Multiple IPs/Partitions) Lead you will be a Key member of our PD Team in Israel R&D center. You will run PD execution of SubSystem with your team for chips that drive the worlds largest AI clusters. You will lead the team and the transition from RTL to GDS, ensuring our silicon meets the extreme performance, power, and area (PPA) targets required for AI scale.

Key Responsibilities

Build and mentor a high-performing Partitions team , owning the end-to-end execution from Synthesis to Signoff
Take full ownership of Subsystem physical implementation, including floorplanning, 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)
Lead and guide external contractors and global partners to ensure seamless execution and delivery
Address complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon

we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Automation and Signoff 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, implementing the backend execution environment and methodologies for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the physical implementation environment. Your primary mission is to develop, optimize, and support automated flows from RTL to manufacturable GDSII tape-out, ensuring a methodical and efficient work environment for the entire PD team.


Key Responsibilities


Develop and maintain automated flows for Synthesis, Place & Route (P&R), and Floor-planning to ensure seamless design transitions
Implement and manage robust environments for Static Timing Analysis (STA), Power Analysis, and Physical Verification (DRC/LVS/ERC)
Write and maintain custom plug-ins and scripts (Tcl/Python) to extend vendor tool capabilities, tailoring them to specific process node constraints
Build automated "dashboards" and feedback loops to track and improve Power, Performance, and Area (PPA) metrics across design iterations
Own the design database structure and version control to ensure team alignment and data integrity
Collaborate directly with EDA vendors (Synopsys, Cadence, Siemens/Mentor) to troubleshoot flow issues and analyze tool results
Provide technical support to the broader PD team, helping them optimize individual blocks for power, performance, and timing

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

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.
with your technical expertise you will manage project priorities, deadlines, and deliverables. you will design, develop, TEST, deploy, maintain, and enhance software solutions.the ml, systems, & cloud ai (msca) organization at our designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all our services (search, youtube, etc.) and our cloud. our end users are  cloud customers and the billions of people who use our 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 clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
create software solutions that improve the hardware post-silicon testing process through automation. this includes, but is not limited to, developing and maintaining an automatic TEST equipment (ate) program development infrastructure for both production and development environments.
propose, design and implement software automation that directly addresses bottlenecks in today's post-silicon TEST flow, from design for testing (dft) to ate.
review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Extraction 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, implementing the parasitic extraction (PEX) methodologies and flows for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the accuracy and efficiency of our extraction environment, ensuring that our high-speed designs are modeled with the highest precision from RTL to GDSII.

Key Responsibilities

Develop, qualify, and maintain automated RC extraction flows for high-performance AI SoCs
Own the setup and validation of foundry technology files (e.g., StarRC/Quantus techfiles, TLU+, ITF) across various process corners
Perform correlation studies between different extraction tools and 3D field solvers (e.g., Raphael, QuickCap) to ensure modeling accuracy
Collaborate closely with the Signal Integrity (SI) and Power Integrity (PI) teams to provide accurate parasitic data for critical high-speed nets and power grids
Implement automated scripts (Tcl/Python) to streamline extraction regressions, data parsing, and PEX-to-STA (Static Timing Analysis) handoffs
Analyze the impact of layout effects (LDE) and parasitics on timing and power, providing feedback to the implementation team to optimize PPA
Interface with EDA vendors and foundries to resolve extraction tool bugs and methodology gaps related to advanced nodes (5nm/3nm)