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채용Silicon Labs

Device Engineer – Foundry

Silicon Labs

Device Engineer – Foundry

Silicon Labs

Singapore

·

On-site

·

Full-time

·

1mo ago

복지 및 혜택

Healthcare

Mental Health

필수 스킬

Semiconductor Physics

Statistics

Solid-State Physics

Device Characterization

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated So Cs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

What we’re looking for:

In this role you will have opportunities to build hands-on experience on advanced wafer fab process nodes, gain deep professional skill-set of using sophisticated industrial software and hardware to develop and characterize semiconductor devices, and extend your knowledge base to circuit and physical designs. Not only will you be joining a highly-skilled and tight-knit team where every engineer makes a significant impact on the end product, we also strive for good work/life balance and to make our environment welcoming and fun.

Your Responsibilities will include:

  • Perform wafer level characterizations on semiconductor devices (MOSFET, Diode, Resistor, Capacitor, BJT etc) and basic circuits.

  • Design layout structures to evaluate new process and debug design or manufacturing issues.

  • Analyze device silicon data for testchip projects, NPI yield debug and report to cross-functional teams.

  • Support new fab process bring-up and design database tapeout.

Qualifications/Skills you'll need:

  • Master’s or PhD degree in EE, Physics, Material Science or related.

  • Deep understanding of solid-state physics and semiconductor device physics.

  • Strong knowledge of statistics, including probability theory, sampling, confidence intervals.

  • Good verbal and written communication skills and ability to work multi-tasks mode.

Benefits & Perks:

Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun.

  • Medical and dental insurance coverage including spouse and child(ren)

  • Bi yearly health screening and flu vaccination

  • Office location is above Tai Seng MRT station

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.

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Silicon Labs 소개

Silicon Labs

Silicon Laboratories, Inc., commonly referred to as Silicon Labs, is a fabless global technology company that designs and manufactures semiconductors, other silicon devices and software, which it sells to electronics design engineers and manufacturers in Internet of Things (IoT) infrastructure...

1,001-5,000

직원 수

Austin

본사 위치

$5.2B

기업 가치

리뷰

3.5

1개 리뷰

워라밸

3.0

보상

3.0

문화

3.5

커리어

3.5

경영진

3.0

75%

친구에게 추천

장점

Fast-moving hiring process

No online assessment required

Casual technical interview approach

단점

Nerve-wracking interview environment

Senior engineer observation creates pressure

Intense coding problems

연봉 정보

1개 데이터

Intern

Intern · Embedded SWE Intern

1개 리포트

-

총 연봉

기본급

-

주식

-

보너스

-

면접 경험

1개 면접

난이도

2.0

/ 5

소요 기간

14-28주

합격률

100%

경험

긍정 100%

보통 0%

부정 0%

면접 과정

1

Application Review

2

Resume Screen

3

First Technical Interview

4

Second Technical Interview

5

Phone Offer

6

Official Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Embedded Systems

Behavioral/STAR