招聘
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
- Experience in developing functional specifications, design verification plans and functional test procedures
Preferred Qualifications
- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects
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 - 137,300.00 - 185,700.00 USD annually
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About Amazon

Amazon
PublicAmazon.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
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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
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