Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.Minimum qualifications:

• Bachelor's degree in Electrical/Computer Engineering, Computer Science, related fields, or equivalent practical experience.
• 8 years of experience with functional tests for silicon validation (i.e., writing in C or C++ or Python or similar).
• 8 years of experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.
  
  

Preferred qualifications:

• Ability to learn new systems quickly and work on their own in a changing environment.
• Excellent communication and collaboration skills.
• Excellent problem-solving skills.
• Passion for technical issues with and a strong sense of ownership.
• Interest in hardware and a passion for transitioning into silicon validation.
  
  

About The Job

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.

We are building a new team to lead the post-silicon validation efforts for our cutting-edge product. We're looking for highly motivated and talented engineers to join us in ensuring the quality and functionality of our next-generation networking silicon. This is a unique opportunity to be part of a foundational team and make a significant impact.

As a Silicon Validation Engineer at Google Cloud, you'll play a pivotal role in the validation of Google's custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. Your expertise in post-silicon validation will be essential in identifying and resolving issues before they impact our customers, ensuring a seamless and high-performance cloud experience.

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 Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Conduct in-depth analysis into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities.
• Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
• Write, execute, and debug validation tests using Python or C/C++, running on Pre-Silicon (Pre-Si) emulation platforms and primarily on the silicon.
• Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues.
• Contribute to the development of test infrastructure and methodologies to improve validation efficiency and coverage.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .