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.
Based on 293 disclosed Semiconductor salaries on RoleSuite, the role pays a median of $177K/year, with most offers between $148K and $210K (10th–90th percentile: $130K–$243K).
Google ranks among the higher-paying employers for this role, at a $200K median across 44 disclosed postings.
See the full Semiconductor salary breakdown →