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Manufacturing Engineer, Process Development, Leo - NPI

Amazon

Manufacturing Engineer, Process Development, Leo - NPI

Amazon

Redmond, WA, USA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Team events and activities

401(k) matching

Flexible work arrangements

Competitive salary and equity package

Generous paid time off and holidays

Learning

Flexible Hours

Equity

Required Skills

React

Python

PostgreSQL

Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

Export Control Requirement:

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
We are seeking a highly skilled Manufacturing Engineer to join our engineering team. The ideal candidate will have a strong background in process development, mechanical engineering, Cpk/Capabilities analysis, 3D modeling, and automation processes. As a Manufacturing Engineer, you will manage complex manufacturing processes, ensuring efficient production methods, cost optimization, and product quality. You will collaborate closely with cross-functional teams to develop and implement new manufacturing processes, improve existing ones, and support product development through detailed engineering analysis. This role requires a hands-on approach, and technical expertise.

  • Key job responsibilities
  • Manage the development and optimization of manufacturing processes, ensuring efficient and cost-effective production. Utilize and develop automation as a means to reduce human factors.
  • Conduct Cpk and capabilities analysis to assess process performance, production trends, and implement solutions to improve yield and throughput.
  • Provide engineering support for manufacturing operations, troubleshooting production issues, and implementing corrective actions.
  • Utilize CAD software (e.g., Solid Works, AutoCAD) for designing and improving manufacturing tools, fixtures, and equipment.
  • Develop and update detailed process documentation, work instructions, and process flow diagrams.
  • Collaborate with R&D, design, and production teams to transition new products from concept to production.
  • Work on continuous improvement initiatives, including lean manufacturing, Six Sigma, and other process optimization techniques.
  • Ensure compliance with all relevant safety, quality, and environmental regulations.
  • Participate in product design reviews and provide feedback on manufacturability and cost-efficiency.

Basic Qualifications

  • 3+ years of working in mechanical engineering or equivalent experience
  • Experience with prototyping and implementation
  • Bachelor's degree in mechanical engineering or equivalent
  • 2+ years developing manufacturing and/or automation processes.

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
  • Developed tools/applications/data processing utilizing AI.
  • Implemented industrial motion systems (robots, servo motors, sensor systems) to solve manufacturability challenges.
  • Familiar with code languages (python preferred).
    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 - 117,300.00 - 160,000.00 USD annually

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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