Job Information
Google SOC Power Estimation Engineer, Silicon in Bengaluru, India
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
2 years of experience with low power RTL and physical design optimization techniques.
Experience with scripting languages (e.g., Python, Perl).
Preferred qualifications:
Experience in System on a Chip (SoC) Architecture, Power Management architecture, Clocking architecture.
Experience with RTL level Power Estimation/Analysis tools.
Ability to work independently and as part of a team.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.
Be part of a diverse 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.
Drive pre-silicon power estimation and analysis using power estimation tools both at Register-Transfer Level (RTL) and Netlist level.
Develop methodologies around power estimation tools and incorporate best practices to improve the power estimation.
Drive Power estimation and what if analysis for IP(s) and SubSystem(s) and drive closure of projections vs targets gaps.
Analyze power estimation reports to identify power saving opportunities and influence both the physical design aspect and the U-arch design aspects of the design for power reduction.
Work with the Power modeling team to analyze the power impact of different IP/SS states w.r.t battery life.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Google
-
- Google Jobs