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트렌딩 기업

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채용Amazon

Lab Engineer II, Industrial Robotics Group

Amazon

Lab Engineer II, Industrial Robotics Group

Amazon

N.reading, MA, USA

·

On-site

·

Full-time

·

1mo ago

Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction.

We need skilled CNC Programmers to help support the way we build and test our products and features in a start-up environment. You will work closely with research scientists, mechanical engineers, and hardware teams to machine precision components that bring next-generation robotic systems to life. If you are passionate about precision manufacturing, hands-on fabrication, and delivering high-quality parts for cutting-edge technology, we want to talk to you.

  • Key job responsibilities
  • Program, set up, operate, and maintain 5-axis CNC mills and 5-axis mill-turn machining centers to produce precision components for prototyping and production
  • Develop and optimize CNC programs using CAM software, ensuring efficient toolpaths, proper feeds and speeds, and high-quality surface finishes
  • Troubleshoot machining issues and perform routine maintenance and calibration on CNC equipment
  • Design and fabricate custom fixtures, jigs, and workholding devices to support production and assembly processes
  • Collaborate with engineering teams to assess part designs for manufacturability and recommend design improvements
  • Support machining operations and prepare materials for prototyping and production runs
  • Source and procure cutting tools, raw metals, and consumables; manage tooling inventory and maintain stock levels of hardware and fabrication supplies
  • Maintain a clean, organized, and safe shop environment in compliance with machining safety standards
  • Generate process documentation, work instructions, CNC programs, and equipment maintenance logs

Basic Qualifications

  • Experience writing and publishing technical documents or equivalent
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Can work proactively and independently, meet deadlines, and deliver on projects and tasks
  • Associate's degree or higher in Manufacturing Technology, Mechanical Engineering, or a related field, or equivalent practical experience
  • Minimum 5 years of hands-on CNC programming experience, including operating and setting up CNC mills and lathes (2-axis through 5-axis)
  • Proficiency in CAM software (e.g., Mastercam, NX CAM, Edge Cam, or equivalent) for toolpath generation and CNC programming
  • Proficiency in Solid Works, NX, or equivalent CAD software for reading and interpreting 3D models and engineering drawings
  • Solid understanding of machining principles, GD&T, and shop safety practices

Preferred Qualifications

  • Bachelor's degree in mechanical engineering or equivalent
  • Experience programming and operating DMG machines with Siemens controls
  • Familiarity with multi-axis (4- or 5-axis) machining strategies and fixturing
  • Background in mechanical fabrication or prototyping environments
  • Experience with inventory management systems and procurement processes
  • Knowledge of materials science as it relates to metal fabrication, including aluminum, steel, and titanium
  • Experience supporting engineering teams in a fast-paced product development or R&D environment
  • Familiarity with additive manufacturing technologies as a complement to subtractive processes

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, N.Reading - 99,400.00 - 160,000.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0개 리포트

$108,330

총 연봉

기본급

$43,332

주식

$54,165

보너스

$10,833

$75,831

$140,829

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge