דרושים Google Israel

The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across Google, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.

Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.

The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of Google's research teams, including Google DeepMind, Google Research, Google Cloud and more. This allows us to find the right project match for your skills and interests.

Researchers across Google are working to advance the computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.

Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

As a SoC Physical Design Engineer, you will collaborate with Functional Design, Design for Testing (DFT), Architecture, and Packaging Engineers. Additionally, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.

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
Define and drive the implementation of physical design methodologies.
Take ownership of one or more physical design partitions or top level.
Drive to the closure of timing and power consumption of the design.
Contribute to design methodology, libraries, and code review.
Define the physical design related rule sets for the functional design engineers.

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
Plan the verification strategy, identify the platform to validate reasoning components.
Define the test plan and strategy with stakeholders, including sign-off and exit criteria.
Plan and execute the verification of Internet Protocols (IPs) using dynamic verification and formal verification.

We're the driving team 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
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.

In this role, you will develop and maintain the data ingestion part of the platform, the part that connects to external sources and extracts the data.Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams.
Develop the mid-term technical goal and roadmap within the scope of the multiple teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Provide technical leadership on sources projects, involving participating in sessions, creating design documents, and conducting code reviews.
Manage, develop, and mentor a team of skilled engineers, fostering a culture of collaboration and innovation and facilitating their career growth.

In Google Search, we're reimagining what it means to search for information any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

As a Senior Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-random test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through corner-case testing.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
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to Google3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on Google Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and Google's internal tooling to select the right technology for the job.

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 the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

In this role, you will unlock insights from Data, process, anonymize, and analyze massive datasets to reveal trends in near real-time. You will design and develop intuitive and powerful front-end interfaces with compelling visualizations. You will seek new ways to surface meaningful trends, enhance the user experience, and partner with teams across Google to tell data-driven stories.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
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.