Google·SaaS·11 days ago
11 days ago
Physical Design and Implementation Engineer, CPU
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What you'll do
- Develop all aspects of ASIC RTL2GDS implementation for high Power, Performance, and Area (PPA) designs.
- Manage block and full-chip level physical implementation and Quality of Results (QoR) (power, timing, area).
What they're looking for
- Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
- 8 years of experience in physical design engineering.
- Experience in managing high performance design schema utilizing CPU or GPU.
Nice to have
- Master's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
- Experience with power optimization techniques.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities:
- Develop all aspects of ASIC RTL2GDS implementation for high Power, Performance, and Area (PPA) designs.
- Manage block and full-chip level physical implementation and Quality of Results (QoR) (power, timing, area).
Minimum qualifications:
- Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
- 8 years of experience in physical design engineering.
- Experience in managing high performance design schema utilizing CPU or GPU.
Preferred qualifications:
- Master's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
- Experience with power optimization techniques.
SaaS
Company
GoogleSaaS
Bengaluru, India
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