דרושים » הנדסה » מהנדסת או מהנדס תקשוב במערך מחשוב ומערכות מידע JB-2293

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 with system teams and the CPU Architecture team to develop an understanding of the CPU, System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. You will correlate performance projections with measured post-silicon data.
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 Google's 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
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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.
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
Contribute to CPU front-end designs, emphasizing micro-architecture and RTL design for next generation CPU.
Propose performance enhancing micro-architecture features with efficiency in mind. Work with architects and performance teams for trade-off studies.
Deliver designs that meet power, performance, and area (PPA) goals with production quality.
Interpret techniques into design constructs and languages in order to provide guidance to and participate in the performance modeling effort.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to support the machinery that goes into our data centers affecting Google users.

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 Google's 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:
Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, Test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
Drive interactions with wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Q&R, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

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 Google's 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.

Be part of a team to verify complex digital design blocks at subsystem level or full chip level by fully understanding the design specification and interacting with design engineers to identify key verification scenarios.
Create and enhance constrained-random verification environments using UVM SystemVerilog or create complex multi core based C tests using reusable C test libs.
Identify and write all types of coverage measures for stimulus and 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.

The Microsoft Threat Intelligence Center Israel (MSTICRnD) is at the forefront of cybersecurity, dedicated to protecting Microsoft and its customers from sophisticated nation-state attacks. Our team is composed of highly skilled professionals who are passionate about security and cloud technologies. We thrive in a dynamic, fast-paced environment where innovation and collaboration are key. Our mission is to build cutting-edge solutions that counter adversary-based threats through the dissemination of threat intelligence, proactive hunting, incident response, and the development of new methods to detect, investigate, and respond to attacks.

As a Data Engineer at MSTICRnD, you will play a pivotal role in managing and executing big data solutions and pipelines for our security data-driven products. Your work will ensure a seamless flow of information throughout the company, balancing backend data structure with frontend accessibility for end-users. You will collaborate closely with engineers, product managers, and security analysts to understand data needs, ensure data availability, and represent key data insights visually in meaningful ways. Your responsibilities will also include ownership of data privacy, security, compliance, and quality.



Why Join Us?
Impact: Make a significant impact by contributing to the protection of Microsoft and its customers.
Growth: Grow and develop your skills in a fascinating domain.
Environment: Work in a live, fast-paced environment with opportunities to learn and influence.
If you are passionate about delivering next-gen security services and excited about working in a dynamic and innovative environment, we invite you to join us for a great ride!


Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
Big Data Solutions: Design, implement, and manage big data pipelines to support security data-driven products.
Collaboration: Work with engineers, product managers, and security analysts to understand and address data needs.
Data Availability: Ensure the availability and accessibility of data across the organization.
Monitoring and Alerts: create monitoring and alert systems to ensure data integrity and system performance.
Data Visualization: Represent key data insights visually to provide meaningful information to end-users.
Data Privacy and Security: Maintain ownership of data privacy, security, compliance, and quality.