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Acoustic Software QA Engineer, Asia Tech Center

Amazon

Acoustic Software QA Engineer, Asia Tech Center

Amazon

Shenzhen, 44, CHN

·

On-site

·

Full-time

·

1w ago

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

The Role:

As a Acoustic Software QA Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will:

  • Create test plans and test cases
  • Efficiently execute test cases across all functional areas of our products especially have expertise in Audio.
  • Review product user interface for conformity to design guidelines
  • Find, isolate, document, regress, and track bugs through resolution
  • Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
  • Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented
  • Collaborate with US teams and domestic partners in acoustic lab setting up and management

Basic Qualifications

  • 4+ years of quality assurance engineering experience
  • Experience scripting or coding
  • 4+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience
  • Knowledge of QA methodology, automation, industry-standard tools and bug tracking tools
  • Familiarity with acoustic performance measurement and equipment
  • Familiarity with acoustic lab environment setup

Preferred Qualifications

  • Familiarity with ACQUA and other acoustic measurement equipments
  • Experience testing audio or speech related features in SW or HW products
  • Familiarity with speech recognition, acoustics, psycho-acoustics, signal processing and sound reproduction
  • Solid understanding of QA tool development chains and environments
  • Hands-on experience in testing Linux/Android-based devices
  • Demonstrated expertise in black, white box and grey box testing methodologies, experience with standard QA and development tools, and the ability to operate within short release cycles
  • Creativity and initiative to improve product coverage and effectiveness

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

$1.5T

Valuation

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per 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