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Quality Assurance Engineer, Games, DeepMind

职能QA
级别中级
方式现场办公
类型全职
发布3周前
立即申请
  • Collaborate with Engineers, Product Managers, and Researchers to understand requirements and define comprehensive quality and testing strategies.

  • Design, develop, and maintain robust and scalable test automation frameworks for UI, API, and system-level testing.

  • Integrate automated tests into CI/CD pipelines to provide continuous feedback to development teams.

  • Perform manual testing for exploratory, usability, and edge-case scenarios where appropriate.

  • Identify, document, and track bugs through to resolution, and run bug triage meetings.

Deep Mind has long-established connections with Gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with Genie and SIMA agents.

As a Quality Assurance (QA) Engineer, you will build and maintain automated testing frameworks. You will possess a solid understanding of software development lifecycles, and have experience developing quality-focused tools and processes to ensure the delivery of high-quality, player experiences.

Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and different portfolio of early stage, design focused projects, with a focus on breakthrough experiences that wouldn’t be possible without AI.

In this role, your mission is to create breakthrough experiences that wouldn’t be possible without AI. You will ensure the quality and reliability of our pipelines, systems, and software experiences. Your technical abilities and expertise in quality assurance will be crucial in developing quality-focused tools and infrastructure, and in collaborating with development teams (both internal and external) to ensure the delivery of high-quality, robust and fun player experiences.

Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer different learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

  • Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
  • 8 years of experience working as a QA Engineer, Software Development Engineer in Test (SDET), or similar technical quality role.
  • Experience designing and implementing test automation frameworks (e.g., Pytest, Selenium, Playwright, XCUITest).
  • Experience coding in one or more of the following languages: Java, C++, or Python.
  • Experience with CI/CD systems.

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关于Google

Google

Google

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Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense