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Embedded Firmware QA Engineer Intern, eero

Amazon

Embedded Firmware QA Engineer Intern, eero

Amazon

Taipei, TPE, TWN

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Competitive salary and equity package

Team events and activities

Parental leave

Learning

Equity

Parental Leave

Required Skills

React

TypeScript

JavaScript

Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants so we appreciate your patience as we review applications.
At eero, our mission is to serve as the central nervous system of the home. While we began by revolutionizing home Wi Fi, we aim to create comprehensive solutions that serve both wireless and wired connectivity needs for customers and businesses across the globe. Our cross-functional team, spanning hardware, software, and manufacturing, develops advanced Ethernet switching and gateway products, alongside state of the art security features, to complement our award-winning mesh Wi Fi systems. As an Amazon company, we combine the best of startup culture with the resources and stability of one of the world's leading technology companies. Our team builds products that customers love - from mesh routers to high-performance wired networking devices - and we're looking for you to join us in shaping the future of the connected home.
eero is looking for a motivated and detail-oriented QA Engineer intern to join our team and work on embedded firmware testing projects that help keep our platform running smoothly. In this role, you will support the QA team in validating software releases and ensuring an excellent customer experience.
You will work closely with cross-functional development teams to help identify, reproduce, and debug issues. This is a great opportunity for recent graduates to gain hands-on experience with embedded systems, networking, and test automation, while growing their technical and problem-solving skills in a collaborative environment.

  • Key job responsibilities
  • Perform black-box and gray-box testing on embedded software (drivers and user space)
  • Support software validation across setupbot, OTA rack, reboot, and stress test environments
  • Assist with new hardware bring-up testing and validation
  • Develop ad hoc tests to support engineering debugging and issue reproduction
  • Write and execute test plans to improve test coverage and product quality
  • Report, track, and verify bugs using JIRA with clear and detailed documentation
  • Collaborate with distributed development and QA teams
  • Contribute to and learn our Python-based automation framework to expand test coverage
  • Leverage AI-driven tools to assist with debugging, troubleshooting, and test automation
  • Prepare, maintain, and manage test beds and hardware
  • May travel domestically or internationally to supplier sites as needed to support project schedules
  • Can work 5 days per week during summer holiday for at least 3 months duration
  • Willing to work in Taipei
    #auta-twn
    About the team
    Interested in exploring career opportunities with eero? Visit our careers page to view all open positions: https://www.amazon.jobs/content/en/teams/devices-services/hardware-eero?country%5B%5D=US&keyword%5B%5D=eero

Basic Qualifications

  • Speak, write, and read fluently in Mandarin
  • Enrolled in Bachelor’s degree (or higher) in Computer Engineering, Software Engineering, Electrical Engineering, or a related field
  • Basic working knowledge of Unix/Linux environments
  • Fundamental understanding of networking concepts and protocols (e.g., IPv4, IPv6, TCP, UDP, DHCP)
  • Basic knowledge of wireless networking technologies (802.11a/b/g/n/ac/ax/be)
  • Ability and willingness to use AI-powered tools to assist with testing, automation, debugging, and troubleshooting
  • Ability to work independently as well as collaboratively within a QA/testing team

Preferred Qualifications

  • Basic understanding of embedded systems architecture
  • Familiarity with consumer electronics hardware concepts
  • Ability to read and understand circuit diagrams or mechanical drawings (basic level acceptable)
  • Exposure to electronic components, design validation, or qualification (coursework or projects)
  • Good written and verbal communication skills in Chinese and English
  • Strong organizational skills and attention to detail
  • Demonstrated problem-solving and critical thinking ability
  • Self-motivated, proactive, and eager to learn
  • Willingness to take on technical challenges and responsibility
  • Internship experience, academic projects, or lab experience related to QA, embedded systems, or networking 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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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