לוח משרות דרושים מהנדסים 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 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.

our cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. you will anticipate our customer needs and be empowered to act like an owner, take action and innovate. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
database migration service (dms) is the gateway to customers' data migration to our cloud. it is the tool to understand their database migration path, perform migrations quickly and easily with maximum fidelity and minimal downtime, and validate the success of their process so they can keep the business moving.seamless database migration to the cloud is viewed as a strategic effort and is absolutely critical for continuous growth of our cloud and as such dms is critical for our cloud's overall success.our cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
build and extend the sql service and engine development.
analyze sql problems and develop solutions including new engine improvements such as new semantic parsers, transformers, and emitters.
be part of a highly innovative team working on generative ai efforts across dms team.
provide architecture guidance and principals for junior engineers as we evolve quickly in a very dynamic, and organizational environment.
partner with technical leadership in related organizations to chart a shared path forward that balances both the short and long-term needs, ensuring reliable and flexible system foundations.

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 be shaping the future of security automation, working with product experts and exploring the latest artificial intelligence (ai) advancements.the google cloud ai research team addresses ai challenges motivated by google clouds mission of bringing ai to tech, healthcare, finance, retail and many other industries. we work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in ai and share findings with the broader research community. we also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
responsibilities
design and implement model context protocol (mcp) tools for security operations (secops) to support different ai security agents.
integrate ai models over vertex ai and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
develop backend in ASP.NET core or Python. design and develop the backend services that will be used to power the ai models.
design and develop core components of the ai chat infrastructure using go. build scalable and reliable services for managing Real-Time communication, managing user sessions, and integrating with ai models.
research and identify new ai technologies and techniques that can be applied to improve the secops security orchestration, automation, and response (soar) platform.

our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. our products need to handle information at massive scale, and extend well beyond web search. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
waze is all about teamwork. the most innovative developers and designers work together in small groups to build products that are used by millions.in this role, you will work side by side with product and UX in a fast, creative atmosphere with minimal documentation. you are self-sufficient and a problem solver. you will be passionate about waze, its community and always one step ahead in development platforms, new functionality and application programming interfaces (api).making the world's information universally accessible and useful doesn't stop at the desktop. the mobile team builds tools to get you the information you need no matter where you are. Android has become the world's most popular mobile ecosystem, powering billions of devices, from smartphones to tablets, watches to tvs and everything in between. whether adding to the core Android experience, forging new markets for digital content, creating immersive and portable versions of our products or managing relationships with a global community of developers, the mobile team is giving you on the go.
responsibilities
design and implement advanced features for waze app.
help improve User Experience for waze on IOS.
collaborate with visual designers, prototypers and product managers.
contribute to existing documentation or educational content and adapt content based on product or 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.

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.

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.
our mission at our company system infrastructure is to build the best cloud in the world for our company services and for our company cloud customers, by solving real world business challenges of performance, cost, and scale, utilizing hardware, software, and system solutions. to better serve evolving cloud needs, our company is establishing a team in israel to develop custom chips for servers.in this role, you will perform formal verification of design properties of complex asic designs. you will collaborate closely with design and Verification engineers to define meaningful properties that capture the design intent of a logic block and constraints on its input stimulus. you will also help define and improve design and verification methodologies that allow you to achieve formal verification closure. our company's mission is to organize the world's information and make it universally accessible and useful. our team combines the best of our company 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.
responsibilities
plan the formal verification strategy and create the properties and constraints for complex digital design blocks.
utilize formal property verification tools combined with formal verification closure techniques to verify properties.
resolve difficult to verify properties. contribute improvements to methodologies to enhance formal verification results.
architect and implement reusable formal verification components.