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
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 on Emulation or FPGA platforms.
Lead the debugging and resolution of 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.
Requirements: Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
5 years of experience in silicon validation or a related field
Experience in leading technical teams and build cross-functional relationships.
Experience in silicon validation methodologies, tools, and techniques, including hardware setups, and automation tools on Emulation or FPGA platforms.
Preferred qualifications:
Experience with Field-Programmable Gate Array (FPGA) prototyping, Hardware Emulation (e.g., ZeBu Server, Palladium, Veloce), or simulation platforms.
Experience with hardware description languages (e.g., Verilog, VHDL) and hardware verification methodologies (e.g., UVM, SystemVerilog).
Knowledge of cloud computing technologies and architectures, including data centers, networking, and storage.
Excellent communication skills, with the ability to convey technical concepts to audiences.
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