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Software Dev Engineer Intern, (Manufacturing &Ops) 2026 Shenzhen

Amazon

Software Dev Engineer Intern, (Manufacturing &Ops) 2026 Shenzhen

Amazon

Shenzhen, 44, CHN

·

On-site

·

Internship

·

3w ago

필수 스킬

Python

Java

职位:Manufacturing &Ops,SDE实习
· 毕业时间:2026年10月 - 2027年7月之间毕业的应届毕业生
· 入职日期:2026年6月及之前。
· 实习时间:保证一周实习4-5天全职实习,至少持续3个月
· 工作地点:深圳

· 投递须知:
1 填写简历申请时,请把必填和非必填项都填写完整。提交简历之后就无法修改了哦!
2 学校的英文全称请准确填写。中英文对应表请查这里(无法浏览请登录后浏览)https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2

Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools.
This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system.

Key job responsibilities

Key Project Areas:

As part of our global operation team, the intern will have the opportunity to work on:

  • Supplier Management System Development: Build and enhance software systems that support consumer electronic component supplier management, quality tracking, and performance analytics
  • Reliability Testing Tool Development: Develop tools and automation solutions for consumer electronic devices reliability testing, data collection, and analysis

Basic Qualifications

  • Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Electronics Engineering, Telecommunications, Automation, Control Engineering, or related field at time of application.
  • Knowledge of the syntax of languages such as Java, C/C++ or Python.
  • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.
  • Strong communication skills

Preferred Qualifications

  • Previous technical internship(s), if applicable.
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases.
  • Ability to effectively articulate technical challenges and solutions.
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly.
  • Knowledge of statistics or hardware design principles
  • Coursework or interest in quality engineering, reliability engineering, or supply chain management
  • Familiarity with consumer electronics or manufacturing processes is a plus

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.

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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