לוח משרות דרושים מדעים מדוייקים בתל אביב יפו

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 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.

Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech , identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Required Data Researcher
Israel - Tel Aviv
About the role:
As a Data Researcher, you will own one of the companys most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e commerce fraud decisioning system in the industry.
In this role, you are expected to think creatively and push boundaries. You will design smart logical and technical solutions to real and constantly evolving business challenges faced by some of the worlds largest and most sophisticated online retailers. Your work will operate at the intersection of deep data research, production systems, and real world impact.
You will also have exposure to key customers, working closely with them to deliver analytical insights and adapt solutions to their unique needs. This direct connection between research, product, and customer impact is a core part of the role.
You will join a high caliber, fast moving research group with a strong culture of excellence, curiosity, and ownership. We work in an informal, collaborative environment where strong opinions are welcome and great ideas move fast. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial tracks, depending on where you want to take your career.
Your work will directly shape our product, protect millions of consumers and merchants, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and continuously refine the core decisioning logic and models that run in our live production systems
Research complex fraud patterns, adversarial behaviors, and emerging global threats at scale
Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
Develop, prototype, and automate tools and processes that improve the accuracy, scalability, and efficiency of our systems
Collaborate closely with Data Scientists, Analysts, Researchers, and Engineers to build the next generation of our AI driven technology.

Our Formal Verification (FV) team is seeking a visionary AI Verification Engineer to join our elite Networking Chip Design group. Our team is unique: we define the infrastructure and drive the methodologies for proving the correctness of the worlds most advanced AI and networking architectures. We operate at the cutting edge, leveraging a sophisticated ecosystem of proprietary in-house formal tools and industry-leading vendor EDA solutions.

In this role, you will be a key architect in our "AI-for-FV" evolution. You will work in close collaboration with our internal CAD and Design Technology AI teams to enhance our in-house toolset with artificial intelligence. You won't just be using tools; you will be building the "brains" that sit on top of them-utilizing LLMs and Machine Learning to automate intent-to-proof workflows and debug complex chips with unprecedented speed.

What Youll Be Doing:

In-House Tool Evolution: Partner closely with internal CAD teams to integrate AI capabilities directly into our proprietary FV infrastructure.

Methodology Architecture: Define and evolve the FV teams specialized methodologies, moving from manual property writing to AI-automated assertions.

Next-Gen Orchestration: Develop and integrate AI agents and ML models that interface with our toolchain to automate "intent-to-assertion" workflows and optimize coverage and convergence.

Intelligent Debugging: Create AI-based debug assistants that analyze formal counter-examples, categorize failures, and autonomously suggest fixes for complex logic problems.

Collaborative Intelligence: Act as the bridge between the FV team, Design Technology AI, and CAD groups to ensure our AI solutions provide end-to-end efficiency from RTL to A0 tapeout.

Leadership & Training: Act as the authority on AI integration, training the broader team on how to leverage "human-in-the-loop" AI tools and automated methodologies.

We are seeking a Principal verification engineer to be a technical lead in the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and adopting new technologies. One of our main goals is to define, build and use best in class technologies make sure that the chip design team works in an efficient manner and provides high-quality deliveries at scale. This position offers the opportunity to drive foundational flows and have a profound impact in a dynamic, technology-focused company.

What you'll be doing:

Define groundbreaking methodologies to create a flawless experience for verification engineers.

Mentor and guide designers and verification specialists to tackle complex technical challenges.

Identify design risks, define the verification scope, and lead infrastructure development to ensure design correctness.

Technically guide the development process of shared verification code and infrastructure to be widely used by the global chip design team.

Partner with the design automation team to provide end-to-end solutions that unify verification, simulation, and automation.

Collaborate with EDA vendors to learn about innovative tools/technology and integrate them into our long-term verification strategy.

Lead verification strategies, training sessions.

We are looking for a Formal Verification Engineer for our Networking team!

This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies. Our Switch team delivers world class Bridge and router solutions for HPC, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. We have the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.

What you'll be doing:

In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.

You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our core technology.

You will work on developing new formal verification methodologies and tactics.

We are now looking for a best-in-class Chip Design Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer in our GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Your daily work will involve all aspects of Design Verification : Planning, Coding, Coverage and Integration.

We are looking for a Market Researcher (Maternity Leave Replacement) to join our Data Department.
In this role, you will be responsible for leading and delivering a wide range of consumer and business research initiatives, including quantitative surveys and qualitative in-depth interviews. You will work closely with stakeholders across the organization to uncover actionable insights that support data-driven decision-making.
We are looking for someone with a strong mixed-methods background and the ability to integrate diverse sources of insights into clear business recommendations. You are passionate about understanding customer behavior and connecting research findings with data to generate meaningful business impact.
You are results-oriented, able to ask - and answer - meaningful and impactful business questions, a self-starter, and have demonstrated success in leveraging analytics to drive high-quality research outcomes.
This role requires the ability to work both independently and collaboratively within the broader Data Department.
Prior experience with Qualtrics is considered a strong advantage
This is a temporary maternity leave cover position. Future opportunities may be considered, depending on business needs.
What am I going to do?
Leading end-to-end research projects, including building a research plan, designing research tools, data collection and analysis.
Designing and executing quantitative surveys using a range of social sciences methods.
Conducting statistical analysis of surveys through the lens of business impact and growth.
Designing and executing qualitative research - customer in-depth interviews.
Communicating results to key stakeholders and distilling actionable recommendations to support decision making.
Collaborate closely with team members from the market research and data teams.
Working with internal partners (including product, marketing, business and data teams) to identify and prioritize knowledge gaps in our understanding, and act as an internal consultant on research results implementation.