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Lab Engineer I, Amazon Manufacturing Services

Amazon

Lab Engineer I, Amazon Manufacturing Services

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

3w ago

Compensation

$81,120 - $143,520

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Healthcare

401k

Equity

Parental Leave

Required Skills

CNC programming

Mastercam

Multi-axis machining

CAM

Vericut

MES

The Laboratory Engineer serves as a principal technical resource for CNC programming and machining operations, driving manufacturing excellence through advanced programming solutions and process optimization. This role requires comprehensive expertise in CNC operations, program development, and manufacturing process improvement.
Core Functions: The position encompasses end-to-end responsibility for CNC programming operations, from CAD file receipt through program optimization and implementation. The role requires close collaboration with machining teams, engineering staff, and operations management to enhance productivity and manufacturing efficiency.

Primary Responsibilities:

  • Develop and optimize complex CNC programs utilizing Mastercam and advanced CAM platforms
  • Execute program verification through Vericut simulation while maintaining rigorous revision control
  • Design and implement efficient fixturing solutions and manufacturing processes
  • Lead continuous improvement initiatives for machining operations
  • Provide technical guidance on design modifications for enhanced manufacturability
  • Maintain documentation standards and digital archives for programming operations

The role demands strong technical judgment, independent decision-making capability, and the ability to drive operational excellence through collaborative engagement with cross-functional teams. The successful candidate will demonstrate both technical mastery and leadership in advancing manufacturing capabilities.
This description represents core responsibilities but may evolve based on technological advancement and operational requirements within Amazon's manufacturing operations.

A day in the life
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  1. Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options:

  1. Paid Time Off (PTO)
  2. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

  • Experience planning and maintaining lab facilities for optimal efficiency and creating new processes when necessary
  • 8+ years of industrial maintenance experience
  • Knowledge of CG techniques and technologies
  • 4+ years of advanced CNC programming experience with proven expertise in multi-axis machining operations
  • Demonstrated commitment to digital workflow standards and Manufacturing Execution System (MES) compliance protocols

Preferred Qualifications

  • 6+ years of Computerized Maintenance Management System (CMMS) experience
  • Experience working with the designs of complex automated material, handling equipment, packaging technologies, and systems including robotics and high-speed manufacturing
  • Expert-level proficiency in VERICUT CNC simulation software for advanced toolpath verification and collision detection
  • Proven track record implementing and optimizing Manufacturing Execution System (MES) workflows in high-mix production environments

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, Seattle - 39.00 - 69.00 USD hourly

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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

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