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

Which department will you join?
our companys Unit Level Verification Team in Haifa is looking for an experienced verification engineer to be involved in the development of
our companys future AI and deep learning HW accelerators.
This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver
our companys EyeQ future chips, aimed to power the worlds first fully Autonomous Vehicle!
What will your job look like?
Define, implement and enhance verification environments using UVM methodology.
Write and debug tests that combine UVM methodology and SW code.
Identify and write various types of coverage measures.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.

Were seeking an outstanding Senior SW Engineer to join our team and help us develop our data frameworks integrations. This is a rare opportunity to influence the future of data processing.

Job Description:

Develop our Spark plugin and integrations.

Develop in Scala and Java.

Contribute to open source projects.

Develop our hardware planner.

Develop in Python.

Design advanced algorithms of processing and optimizing query plans.

Define our query abstraction layer.

Collaborate with other software teams to optimize software and hardware integration for maximum performance.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.

We are looking for a server application and workload (Cloud, Internet, Enterprise) expert to analyse, simulate emerging workloads (Compute and AI) and develop HW and SW optimizations that will improve their PnP (power and performance).
Responsibilities:
Track and review emerging compute and AI workloads for Cloud, Internment and enterprise applications
Deploy and Simulate emerging workloads on our system simulation infrastructure
Analyze performance bottle necks and develop innovations that will improve their performance
Work with the SW and HW development team in order to incorporate these innovations into our products
Occasionally simulate and analyze performance issues reported by customers and come up with solutions.

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 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 our company users.
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. Our end users are our companyrs, 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
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.

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.
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. Our end users are our companyrs, 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
Develop and execute comprehensive validation plans for our company's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation and/or FPGA platforms.
Lead the debugging and resolution of complex silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.