דרושים » הנדסה » Physical Design Engineer

We are looking for an experienced Automation Engineer to join our dynamic engineering team. This role is ideal for someone with a solid background in automation development, who thrives in an agile environment and is passionate about continuous learning and collaboration.
What will your job look like:
Design, develop, debug, and maintain automation solutions using Python and Airflow
Integrate and monitor workflows using Grafana for observability and alerting
Work with Visa protocol (or similar) for secure data exchange and communication
Collaborate cross-functionally with developers, product managers, and QA teams to deliver high-quality automated systems
Troubleshoot, debug, and optimize automation pipelines for performance and reliability
Contribute to architectural decisions and improvements in automation frameworks and tools
Maintain clear documentation and knowledge sharing with team members.

In this highly visible role, you will be at the centre of a System-on-Chip design effort. collaborating with all disciplines, with a critical impact on getting functional products to millions of customers quickly
Description
Lead the complete DFT solutions in a chip design by working with chip DFT team to document DFT specifications, and define the SoC test interface Develop and implement DFT architecture Work with the validation team to verify DFT implementations and implement design changes Generate structural test vectors, analyze and improve coverage Work with designers on STA, physical, power and logical issues Work with Test Engineers to bring up test vectors on silicon

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 ML Systems and Cloud AI (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 xompany 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 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 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.

In this role you will be responsible to model, analysis and estimate power consumption of daily use cases on our next generation SoCs. Drive new ideas into micro-architecture, design and circuits to reduce SoC power across the dynamic range. Drive budgeting, measurement and analysis of overall SoC power for many use cases of interest. You Will work extensively with many teams across every stage of the project from Architectural definition through Design implementation and SW management to focus on power optimization.
To be successful in this role, you must have keen interest and motivativation to deliver best experience to our users, and wide perspective in order to work simultaneously on multiple disciplines. This role is required working closely with many cross-functional teams and good understanding of hardware and software interaction at system level.

In this highly visible role, you will be responsible for SOC power simulation and power modeling, SOC use case power analysis, and drive the future SOC power optimization.

system Integration Engineer (6004) We are seeking a system Integration Engineer with an RF background to join a multidisciplinary engineering team working on complex systems from development through production.