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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in SoC validation.
- 5 years of experience in people management, developing employees.
- Experience with ML accelerator and Mobile SoC architecture.
Preferred qualifications: - Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience leading or managing ML accelerator verification teams.
- Experience with pre-silicon validation on emulation platforms.
- Experience with system-level and board-level debug.
About the jobBe 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Lead and manage the team responsible for the silicon validation of Tensor Processing Unit (TPU), Google's custom machine learning accelerator, in mobile SoC products.
- Drive the development of test plans and advanced verification frameworks for pre-silicon emulation and post-silicon validation.
- Oversee power and performance measurement, ensuring correlation with pre-silicon to meet product goals.
- Collaborate with Architecture, Design, Software, and Design Verification (DV) teams to resolve technical issues and support silicon debug through the product life-cycle.
- Ensure the team meets project schedules and provides excellent support for internal customers and field failure analysis.
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