דרושים » תוכנה » Principal/ Senior Principal ASIC Architect

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

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

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

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of 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 part of our server chip design team, you will use the asic design experience to be part of a team that creates the SOC vlsi design cycle from start to finish. you will collaborate with design and Verification engineers in active projects, creating architecture definitions with rtl coding, and running block level simulations.the ml, systems, & cloud ai (msca) organization  designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all google services (search, youtube, etc.) and google cloud. our end users are googlers, cloud customers and the billions of people who use google 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 google clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
lead the design activities at ips, subsystems(s.s) and SOC.
plan, execute, track progress, assure quality, report status of the assigned activity.
lead a team of designers both directly and in teams.
define the block/ SOC level design documents such as micro architectural specifications.
own ip, s, SOC strategies for clocks, resets, and debugs. enforce global methodologies and drive enhancements.

We are at the forefront of developing autonomous driving systems with leading oems, by integrating our state-of-the-art ecus into various vehicles. we are seeking a Embedded systems software architect to own the technical direction of our Embedded software platforms. this role combines hands-on development, system architecture, and technical leadership, guiding a team of Embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products. you will act as the technical authority for Embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
what will your job look like?
lead the technical direction and architecture of Embedded software platforms across middleware and application layers.
serve as the technical authority for Embedded software, combining hands-on C / C ++ development with system -level ownership.
design scalable, modular software architectures and define clear interfaces between hardware, os services, middleware, and application software.
drive key technical decisions, architectural trade-offs, and long-term roadmap.
develop and integrate middleware and application-layer components, including multi-threaded and Real-Time logic.
lead design reviews, mentor Embedded software engineers, and promote high coding and architectural standards.
take ownership of complex system -level debugging, performance optimization, and software quality.
work closely with os, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

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

With the explosive growth of AI technologies and the Internet industry, data centers have become digital hubs and infrastructures of the Internet industry in the digital economy era. Computing networks, as core components of data centers, have features such as topology, scalability, throughput, reliability, and latency that directly affect data center functionality and performance. The computing cluster networking lab explores architecture and technological innovation for meeting the challenges of future large-scale AI & HPC data centers. .. The labs mission is to lead our company to achieve differentiated competitiveness in high-performance computing cluster network infrastructure, and to support Huawei's industry-leading computing cluster.
Position Overview
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware,
software, and ucode design teams, to ensure alignment of architectural decisions with
product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries
Evaluate and recommend technologies and next generation projects
Occasional travel related to ongoing projects, seminars, conferences etc.

As a Design Verification Manager for the IP Group, you will lead a focused team responsible for the quality and reliability of our critical IP blocks. You will steer the IP verification roadmap, oversee the development of complex testbenches, and ensure our next-generation AI silicon meets the highest standards. Leading a team of talented engineers, you will tackle challenges at the unit and sub-system levels, playing a pivotal role in delivering high-performance hardware for the worlds largest AI clusters.

Key Responsibilities



Lead and mentor a team of design verification engineers, defining the technical roadmap and methodology for ASIC verification across unit and IP/sub-system levels
Drive the creation and execution of comprehensive design verification plans, ensuring all functional requirements are met on schedule for complex digital IPs
Oversee the architecture and maintenance of block-level verification strategies, heavily utilizing SV-UVM, alongside Formal Verification where applicable
Define functional coverage goals and quality metrics, driving the IP team toward 100% verification closure and sign-off
Partner closely with IP Design and Architecture teams to align on specifications, root-cause complex bugs, and optimize the IP development cycle

in this role, youll work to shape the future of ai/ml hardware acceleration. you will have an opportunity to drive 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 silicon team is driving the future of cloud data center computing. as a system on chip input output ( SOC io) architect, you will help define a new generation of our products. you will have pivotal responsibilities and serve as the organization mobile industry processor interface (mipi) focal point.the ai and infrastructure team is redefining whats possible. we empower our customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include, cloud customers, and billions of our users worldwide. we're the driving team behind our 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 cloud, global networking, data center operations, systems research, and much more.
responsibilities
evaluate different silicon solutions for executing mipi and other io peripheries: off-the-shelf components, vendor co-developments and custom designs.
drive vendor execution in various engagements: standard component, build to specification, and co-developments.
collaborate closely with software, design, verification, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
create high performance hardware/software interfaces.
collaborate in developing a new SOC.