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Manufacturing EngineerII, AME-RDPI

Amazon

Manufacturing EngineerII, AME-RDPI

Amazon

Westboro, MA, USA

·

On-site

·

Full-time

·

1mo ago

The Advanced Manufacturing team within Technical Operations and Product Scaling (TOPS) team as part of Robotics Delivery and Packaging Innovation organization serves as the critical bridge between product design and scaled manufacturing. Operating under the Design for Scale (DfS) framework, AME ensures that new automation products can be manufactured at scale with high quality and delivered on-time by establishing and validating manufacturing capabilities of scaled Contract Manufacturers.

Key job responsibilities
Advanced Manufacturing Engineers (AME)
AME professionals are responsible for applying Design for X principles to influence product designs and transition automation solutions from design to production. Key responsibilities include:

  • Providing DFx guidance and feedback on electromechanical designs
  • Guiding best practices on manufacturing tolerances using Geometric Dimensioning and Tolerancing (GD&T)
  • Launching tooling with accelerated schedules
  • Reviewing external production processes and identifying/mitigating risks
  • Qualifying production processes based on dimensional data and control plans
  • Driving internal and external PFMEA reviews
  • Solving technical problems across manufacturing commodities
  • Mentoring team members and design engineers
  • Evaluating and approving Engineering Change Orders (ECOs)
  • Conducting root cause analysis for production, supplier, and field failures

Basic Qualifications

  • 4+ years of working in mechanical engineering or equivalent experience
  • Experience with prototyping and implementation

Preferred Qualifications

  • Knowledge of Solid Works simulation or Ansys Finite Element analysis tools
  • Experience in the design of complex mechanical products and equipment at volume

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, MA, Westboro - 117,300.00 - 160,000.00 USD annually

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关于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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge