Low Power Design Methodology and Optimization Engineer

Google; Austin (TX); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Equity

Bonus target 20%

Job summary

Google LLC in Austin, TX is seeking a Low Power Design Methodology and Optimization Engineer to advance CPU power-aware design. The role focuses on developing methodologies, power estimation, profiling, and optimization to deliver efficient hardware.

You will collaborate with RTL, verification, and physical design teams, drive power-reduction techniques, and help define power management specifications for next-generation silicon powering Google's products.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 10 years of experience in CPU low power design and optimization.
• Experience with low-power design (e.g., dynamic and leakage, power estimation, and optimization), data analytics, and profiling.
• Experience in flow automation (Python, C, C++).

Responsibilities

• Develop and implement advanced low power design methodologies for CPU architectures.
• Perform detailed power analysis, estimation, and optimization across various design stages.
• Collaborate with RTL design, verification, and physical design teams to integrate power-saving features.
• Drive the adoption of innovative power reduction techniques and tools.
• Contribute to the definition and validation of power management specifications.

Skills

Low power design

Data analytics

Profiling

Python

C

C++

Power estimation

Education

Bachelor's degree

Master's degree or PhD

Tools

PTPX

Ansys Power Artist

Synopsys Prime Power RTL

Job description

Low Power Design Methodology and Optimization Engineer

Share Low Power Design Methodology and Optimization Engineer

corporate_fare Google place Austin, TX, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 10 years of experience in CPU low power design and optimization.
• Experience with low-power design (e.g., dynamic and leakage, power estimation, and optimization), data analytics, and profiling.
• Experience in flow automation (Python, C, C++).

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in RTL design and low-power design techniques.
• Experience with power management and DVFS.
• Experience with CPU benchmarking, performance analysis, and industry study.
• Experience with vendor tools such as PTPX, Ansys Power Artist, and Synopsys Prime Power RTL.
• Knowledge of CPU microarchitecture.

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.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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.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. 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

• Develop and implement advanced low power design methodologies for CPU architectures.
• Perform detailed power analysis, estimation, and optimization across various design stages.
• Collaborate with RTL design, verification, and physical design teams to integrate power-saving features.
• Drive the adoption of innovative power reduction techniques and tools.
• Contribute to the definition and validation of power management specifications.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.