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트렌딩 기업

트렌딩 기업

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채용Amazon

Lab Engineer, OISL Rework/Recovery Area, OISL

Amazon

Lab Engineer, OISL Rework/Recovery Area, OISL

Amazon

Redmond, WA, USA

·

On-site

·

Full-time

·

2w ago

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
As a Lab Engineer in the OISL Rework/Recovery area, you will be responsible for performing hardware rework, failure analysis, and recovery operations for Optical Inter-Satellite Link (OISL) components and assemblies. We are looking for candidates who thrive in a fast-paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing the highest standards of execution.

Key job responsibilities
Perform hardware rework operations on OISL components including complex assembly/disassembly, component replacement, and precision alignment procedures
Execute failure analysis and root cause investigations on non-conforming OISL hardware
Develop and maintain SOPs for rework operations, recovery processes, and quality control procedures
Implement safety protocols and ensure compliance with all safety standards for optical systems and precision hardware
Lead process improvement initiatives to increase rework efficiency, reduce scrap rates, and improve first-pass yield
Conduct detailed inspections and testing of reworked hardware to validate functionality and performance
Collaborate with engineering teams to validate rework procedures and implement corrective actions
Train team members on proper rework techniques, safety protocols, and quality standards
Document technical issues, rework procedures, resolutions, and lessons learned
Track and report on rework metrics including cycle time, yield rates, and defect trends

A day in the life
Laboratory setting with specialized optical test equipment and precision rework tools. May require occasional extended hours to support critical hardware recovery efforts. Collaborative team environment focused on product quality, reliability, and continuous improvement.

Basic Qualifications

  • Experience in developing SOP to build mechanism for complicated working process
  • Knowledge of location specific production guidelines and procedures
  • Experience in creating process improvement procedures
  • Associate's degree in Electronics, Mechanics, Product Design, Manufacturing Technologies, Computer Science, or other STEM discipline, or equivalent work experience
  • 1+ years of experience in a technical lab environment or production rework environment
  • Experience with hardware rework, assembly/disassembly, or precision manufacturing operations
  • Demonstrated troubleshooting and problem-solving skills
  • Ability to interpret engineering documentation including drawings, schematics, and work instructions

Preferred Qualifications

  • Bachelor's degree in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
  • Experience troubleshooting issues and root cause analysis
  • Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools
  • Tableau, Quicksight, etc.
  • Experience with optical systems, fiber optics, or photonics hardware
  • Experience with precision alignment, bonding, or micro-assembly techniques
  • Knowledge of electro-mechanical systems and testing equipment
  • Familiarity with lab equipment calibration and maintenance
  • Background in continuous improvement frameworks (Six Sigma, Lean, 5S)
  • Strong technical writing and documentation skills
  • Experience with BGA rework, underfill processes, or advanced PCB rework techniques

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, REDMOND - 39.00 - 69.00 USD hourly

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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