לוח משרות דרושים חשמל ואלקטרוניקה משרה מלאה

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.
as the design for TEST (dft) engineer lead, you will play a crucial role in dft architecture and dft design, and support devices to production. you will be responsible for providing technical leadership in dft, developing flows, automation, and methodology, planning dft activities, tracking the dft quality throughout the project life-cycle, and providing sign-off dft to tapeout.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
lead and execute dft activities in the design, implementation, and verification solutions for application-specific integrated circuits (asic).
develop dft strategy and architecture, including hierarchical dft, memory built-in self TEST (mbist), and automatic TEST pattern generation (atpg).
work with other engineering teams (e.g., design, verification, physical design) to ensure that dft requirements are met and mutual dependencies are managed.
manage a dft team planning, deliverables, and provide technical mentoring and guidance.
lead dft execution of a silicon project, planning, execution, tracking, quality, and signoff.

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.
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.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
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.

as a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. you develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of google users.
as a cmos technologist and foundry engineer, you'll be part of the growing chip design team. in this role, you'll be responsible for driving cmos (complementary metal oxide semiconductor) foundry partners, intellectual property (ip), and chip design and implementation teams to perform cmos transistor scaling and power/performance analysis (ppa), and producing technology roadmap benchmarks. you will also be involved in interfacing and driving our design ip partners.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
engage with cmos foundry partners, manage foundry design kits and design library collaterals, and work with our design teams to perform ppa simulations on benchmark circuits.
work with fab partners on device and circuit level TEST structures, TEST chips, and characterization and correlation of silicon data. you will use the results of this work to influence design optimizations.
work with ip partners, design, and physical design teams to design advanced cmos.
work with chip implementation and physical design teams on micro-architecture tradeoffs, support design tool flow bring-up, and address all physical implementation details leading to product tapeout.
work with our commercial and product teams on foundry and ip vendor management, track technology roadmaps, and determine appropriate technology and ip integration strategies.

as a cpu design Verification engineer, you will work as part of a research and development team building verification components, constrained-random testing, system testing, and verification closure.
as part of our server chip design team, you will verify complex digital designs. you will collaborate with design and Verification engineers in active projects and perform verification. you will be responsible for the full lifecycle of verification which can range from verification planning, TEST execution, or collecting and closing coverage.behind everything our users see online is the architecture built by the technical infrastructure team to keep it running. from developing and maintaining our data centers to building the next generation of google platforms, we make product portfolio possible. we're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. we keep our networks up and running, ensuring our users have the best and fastest experience possible.
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 or formally verify designs with systemverilog assertions (sva) and industry leading formal tools.
identify and write all types of coverage measures for stimulus and corner-cases.
debug tests with design engineers to deliver functionally correct design blocks.
apply close coverage measures to identify verification holes and to show progress towards tape-out.

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.
as a cpu workload analysis researcher within our company cloud's msca organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. you will join a research and development team focused on analyzing and profiling workloads requirements within the company cloud environment. your role will involve conducting in-depth research on cpu optimization, feature development, and ml usages over compute platforms, contributing to identifying key areas of investment and future opportunities. this role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. your work will directly influence the next generation of hardware experiences for millions of our company users and cloud customers.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
plan and execute detailed analysis of cpu workloads within the company cloud infrastructure, analyze trends and map future requirements.
collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to cpu performance and efficiency.
develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company cloud platforms.
analyze the impact of Machine Learning applications on cpu usage, identifying opportunities for optimization and feature enhancements.
lead the investigation and development of metrics to measure cpu performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

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.

about the job
when leading companies choose our company cloud, it's a huge win for spreading the power of cloud computing globally. once educational institutions, government agencies, and other businesses sign on to use our company cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. you listen and deliver what is most helpful for the customer. you assist fellow sales our company by problem-solving key technical issues for our customers. you liaise with the Product Marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company cloud products.
as a customer engineer, you will work with technical business teams as a Machine Learning subject matter expert to differentiate our company cloud to our customers. you will help prospective customers and partners understand the power of our company cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. you will also have the opportunity to help customers to leverage specialized Machine Learning (ml) hardware developed by our company , called tensor processing unit (tpu). you will work with customers and product development to shape the future of the platform.our company cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our company cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
provide Machine Learning (ml) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
work with customers to demonstrate our company cloud product integrations in customer/partner environments.
recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company cloud.
travel to customer sites, conferences, and other related events as needed.

we're the driving team behind 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
define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
perform rtl development (e.g., coding and debug in verilog, systemverilog, vhsic hardware description language (vhdl)), function/performance simulation debug, and lint/cdc/fv/upf checks.
participate in synthesis, timing/power, and fpga/silicon bring-up.
participate in TEST plan and coverage analysis of the block and SOC -level verification.
communicate and work with multi-disciplined and multi-site teams.

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.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 and 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.the ml, systems, and 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
generate precise electrical models (e.g., s-parameters, spice models) for components such as packages, pcbs, and connectors for use in simulations.
simulate high speed interface electrical behavior using hspice or other circuit simulators.
execute lab measurements utilizing TEST equipment like oscilloscopes, vector network analyzers (vna), time domain reflectometers (tdr), spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
establish design rules and guidelines for optimal signal/power integrity during pcb and package layout, ensuring high production yield and reliability.
document design specifications, analysis results, and validation reports to ensure compliance with standards and for future reference, while collaborating extensively with cross-functional teams, including asic architects, digital/analog designers, physical design/layout engineers, and system engineers

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.
as a hardware board design engineer, you will own the electrical design of complex high performance computing (hpc) systems. you will drive the development of next-generation ai accelerator boards, ensuring they meet signal integrity, power delivery, and thermal requirements. you will work cross-functionally with silicon (asic), signal integrity, power, mechanical, and manufacturing teams to bring products from concept to mass production.the ml, systems, & cloud ai (msca) organization at our company designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all our company services (search, youtube, etc.) and our company cloud.  cloud customers and the billions of people who use our company 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 company clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
lead the schematic capture and component selection for high-density, multi-layer printed circuit boards (20+ layers) incorporating high-power asics (tpus/cpus), fpgas, and high-speed memory (high bandwidth memory/ddr5).
design and validate high-speed interfaces including peripheral component interconnect express (pcie) gen 6.0/7.0, 400g/800g/1.6t ethernet (pam4). collaborate with signal integrity (si) engineers to define routing constraints and stack-up.
design multi-phase power regulators (vrms) capable of delivering 1000a currents with fast transient response for ai processors.
work closely with pcb layout designers to guide placement and routing of critical signals and power planes.
lead the lab bring-up of first-silicon/first-board. debug complex hardware issues using oscilloscopes, time-domain reflectometers (tdrs), and logic analyzers. root-cause failures to component, assembly, or design issues

in this role, you will help build socs by driving quality and reliability processes from the integrated circuit (ic) perspective. working with various cross-functional teams, you will develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute TEST plans. within the larger organization, you will collaborate with global hardware quality and reliability, silicon design, validation, and engineering teams. you will have an understanding of ic flows, wafer processing, testing, qualification, yield, reliability, and failure analysis.the ml, systems, & cloud ai (msca) organization at google 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
define and lead qualification hardware and TEST developments in front of internal teams and external vendors.
define and execute silicon and package qualification activities (e.g., htol, elfr, esd/lu, b/hast, thb, etc.).
extract, manipulate, and analyze large volumes of data from silicon and package qualification programs (e.g., htol, elfr, esd, lu, uhast, tct, etc.), high volume mfg, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield, quality, and reliability improvement.
own cross-functional investigation of ic quality and reliability issues to identify root causes and develop solutions (e.g., rma triage, analytics, failure analysis, etc.).
develop and implement physics-based statistical quality and reliability models (e.g., elf, tddb, nbti, hci, time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.

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.the ml, systems, & cloud ai (msca) organization at google 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 schematic capture and component selection for high-density, multi-layer pcbs (20+ layers) incorporating high-power asics (tpus/cpus), fpgas, and high-speed memory (hbm/ddr5).
design and validate high-speed interfaces including pcie gen 6.0/7.0, 400g/800g/1.6t ethernet (pam4). collaborate with signal integrity (si) engineers to define routing constraints and stack-up.
design multi-phase power regulators (vrms) capable of delivering >1000a currents with fast transient response for ai processors.
work with pcb layout designers to guide placement and routing of critical signals and power planes.
lead the lab bring-up of first-silicon/first-board by debugging hardware issues using oscilloscopes, tdrs, and logic analyzers to root-cause failures to component, assembly, or design issues.

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.