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Mechanical Process Engineer, HW Asia Center

Amazon

Mechanical Process Engineer, HW Asia Center

Amazon

Shenzhen, 44, CHN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Flexible work arrangements

Professional development budget

Equity

Healthcare

Parental Leave

Flexible Hours

Learning

Required Skills

React

TypeScript

JavaScript

The Mechanical Process Engineer (MPE) works closely with teams located in both the US and China throughout the design cycle. As a member of the MPE team, you will be responsible for supporting mechanical part manufacturing and decorative processes, providing design recommendations to the design team (ID & PD), driving engineering studies, and improving part yield rate. You are responsible for closely monitoring and driving the above activities at suppliers.
In addition, you will work closely with the TPM team on giving timely feedback of technical risk, and continuous communication of the status of engineering issues throughout the product development cycle to a cross functional audience.

The Role:

  • Identify and develop mechanical part manufacturing and decorative processes
  • Review and develop part/sub-assembly process flow, including process fixture concept and DFM
  • Monitor supplier process capability through continuous engagement and engineering studies
  • Work with suppliers to provide design feedback and recommendations including features and tolerances
  • Drive and approve technical data documentation throughout the development cycle including FAI, CMK, CPK, GR&R, and DFM
  • Drive technical issue resolution at suppliers throughout the development cycle
  • Travel domestically and internationally to supplier sites as projects require

Basic Qualifications

  • Bachelor’s degree in mechanical engineering or related field
  • 4+ years’ experience in Mechanical Design, Manufacturing or Tooling Engineering
  • Experienced in manufacturing processes of plastic and metal parts
  • Demonstrated analytical and problem-solving skills including working knowledge of data analysis and statistics
  • Familiar with GR&R and DOE.
  • Experience working onsite with manufacturers and suppliers.
  • Familiarity with Pro/Engineer and MS office suite
  • Fluent in English.

Preferred Qualifications

  • Certified Six Sigma Yellow Belt or higher
  • Familiar with statistical analysis and processing tools such as Minitab
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Fluent in Chinese
    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