Silicon Validation Lead, Google Cloud

5 Months ago • 8 Years +

Research Development

Job Description

As a Silicon Validation Lead at Google Cloud, you'll validate custom silicon solutions powering cloud infrastructure. You'll lead a team responsible for validating chip functionality, performance, and power efficiency. Responsibilities include building and mentoring a high-performing team, developing and executing comprehensive validation plans, designing and building scalable validation test infrastructure, leading debug and resolution of silicon issues, collaborating with cross-functional teams, and analyzing validation data. This role requires expertise in post-silicon validation and ensuring a high-performance cloud experience. You will contribute to custom silicon solutions powering Google's direct-to-consumer products, shaping the next generation of hardware experiences.

Good To Have:

FPGA prototyping experience
Excellent communication skills
Ability to lead and inspire technical teams

Must Have:

8+ years silicon validation experience
Team leadership and project delivery
Expertise in validation methodologies, tools, and techniques
Bachelor's degree in related field

Add these skills to join the top 1% applicants for this job

prototyping

fpga

communication

innovation

cross-functional

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
8 years of experience in silicon validation or a related field, with leading teams, and delivering projects.
8 years of experience of silicon validation methodologies, tools, and techniques.

Preferred qualifications:

Experience with Field-Programmable Gate Array (FPGA) prototyping, emulation, or simulation platforms.
Ability to convey technical concepts to audiences.
Ability to lead and inspire technical teams, drive results, and build cross-functional relationships.
Excellent written and verbal communication skills.

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.

As a Silicon Validation Lead at Google Cloud, you will validate Google's custom silicon solutions that power cloud infrastructure bringing the quality level. You will lead a team of engineers responsible for validating the functionality, performance, and power efficiency of chips designed specifically for Google Cloud services. Your knowledge in post-silicon validation will be essential in identifying and resolving issues before they impact the 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

Build and mentor a high-performing team of silicon validation engineers, and foster a culture of collaboration, innovation, and technical excellence.
Develop and execute comprehensive validation plans for Google'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.
Lead the debug and resolution of silicon issues, collaborate 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.

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