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채용Google

Chipset Power Architect, Silicon

Google

Chipset Power Architect, Silicon

Google

·

On-site

·

Full-time

·

2w ago

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.

The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead the definition of power requirements for Tensor mobile So Cs to optimize Power-Performance-Area (PPA) under peak current and thermal constraints.

  • Propose and drive power optimizations throughout the design process from concept to mass production.

  • Define power KPIs and SoC/IP-level power targets, and lead cross-functional architecture, design, implementation and SW teams to achieve power targets in volume production.

  • Model SoC and IP-level power and perform power rollups.

  • Drive power-performance trade-off analysis for engineering reviews and product roadmap decisions. Represent the status of SoC power to the senior leadership team.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

  • 10 years of experience in power management or low power design and methodology.

  • Experience with full product delivery cycle (e.g., definition, architecture, design and implementation, testing, productization).

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • Experience with low power architecture and power optimization techniques (multi Vth/power/voltage domain design, clock gating, power gating, Dynamic Voltage Frequency Scaling (DVFS, AVS)).

  • Experience with SoC power modeling and analysis.

  • Familiar with ASIC design flows.

  • Excellent communication skills with the ability to work across cross-functional teams to drive consensus and influence product decisions.

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense