refresh

트렌딩 기업

트렌딩 기업

채용

채용Google

Senior SoC and IP Design Engineer, Google Cloud

Google

Senior SoC and IP Design Engineer, Google Cloud

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.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

  • Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).

  • Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, System Verilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.

  • Participate in synthesis, timing/power closure activities.

  • Participate in test plan and coverage analysis of the block and SoC-level verification.

  • Communicate and work with multi-disciplined and multi-site teams.

Minimum qualifications

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

  • 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or System Verilog.

  • Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.

  • Experience with design sign-off and quality tools (e.g., Lint , CDC , etc.).

  • Experience with SoC or IP architecture.

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

  • Knowledge of high-performance and low-power design techniques, assertion-based formal verification, Field-programmable Gate Array (FPGA) and emulation platforms, and SoC architecture.

  • Knowledge in one of the following areas such as Double Data Rate (DDR)/Low Power Double Data Rate (LPDDR), High-bandwidth memory (HBM).

  • Excellent problem-solving and debugging skills.

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