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Reliability Engineer Intern, Product Integrity

Amazon

Reliability Engineer Intern, Product Integrity

Amazon

Shenzhen, 44, CHN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Flexible work arrangements

401(k) matching

Comprehensive health, dental, and vision insurance

Equity

Flexible Hours

Healthcare

Required Skills

PostgreSQL

React

Python

Amazon develops innovative consumer-centric product solutions. As a reliability engineer intern, you will be part of an exciting team to assist developing, testing, and delivering products. You will assist a senior reliability engineer for the development and implementation of methodologies/techniques to enhance product reliability. You will work closely with cross-functional teams located in both the US and China throughout the design cycle to assist driving and executing product qualification. The selected candidate will be responsive, flexible, and able to succeed within an open collaborative peer environment.
Key job responsibilities
Participate in creating reliability test plans including resource allocations, validation schedule assumptions, and validation items scope.
Participate in implementing specific validation items in reliability test plans with schedule.
Work closely with senior reliability engineer in reporting reliability execution progress and issues.
Participate in evaluating and developing reliability test methodologies to reduce test time and increase test coverage.
Travel domestically to supplier sites as projects require.
Can work 5 days per week during summer holiday for at least 3 months duration
Is willing to work in Shenzhen

Basic Qualifications

  • Master's degree or above in mechanical engineering, electrical engineering, material science, physics or equivalent
  • Speak, write, and read fluently in Mandarin

Preferred Qualifications

  • Understanding of the principles and basic structures of measuring instruments such as HALT, chambers, oscilloscopes, and mustimeters, etc.
  • Clear oral and written communication skills (Chinese and English)
  • Strong organizational and problem-solving skills
  • Demonstrated critical thinking capability
  • Self-motivated and proactive
  • Past experience or coursework with reliability knowledge, statistical knowledge and be able to use reliability and statistical method to do data analysis.
  • Past experience with failure analysis techniques to isolate failure for test issues.
    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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About Amazon

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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Product Designer L2

0 reports

$163,720

total / year

Base

$65,488

Stock

$81,860

Bonus

$16,372

$114,604

$212,836

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge