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트렌딩 기업

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채용Amazon

ASIC Design Engineer, Amazon Camera ASIC Team

Amazon

ASIC Design Engineer, Amazon Camera ASIC Team

Amazon

Cambridge, GBR

·

On-site

·

Full-time

·

1w ago

Join the team which delivers highly differentiated silicon into Blink and Ring battery powered devices. Our team works on state-of-the art So Cs in a vertically integrated team environment to deliver products our customers love. Innovators will be delighted with our integrated verification/validation environment that is used to perform architectural modeling to post-silicon validation. The team works backwards from customer requirements to build super-low power, energy efficient designs that include the latest in AI, video processing, low power communications and CMOS fabrication technology.

  • Key job responsibilities
  • Write micro-architecture specs and solicit feedback/link to KPIs from architecture team
  • Execute on design specifications to deliver high quality RTL
  • Evaluate 3rd party IP blocks
  • Estimate power, performance, and area for significant IPs early in design cycle
  • Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA
  • Work with pre-silicon verification teams to assist in defining test-plans/test-benches
  • Work with post-silicon validation teams to define and execute on test-plans

Basic Qualifications

  • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
  • Experience with front-end design tools (Lint, CDC, RDC and lint)
  • Ability to write detailed micro-architectural specs which work through the design problems before coding (System Verilog, Verilog).

Preferred Qualifications

  • Bachelor's degree in Electrical or Communications Engineering or a related field
  • Experience with industry standard tools and scripting languages (Python or Perl) for automation
  • Experience with hardware-software interfaces
  • Using formal verification tools to enhance RTL quality before testing.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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총 지원 클릭 수

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모의 지원자 수

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Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge