You are a Quality Assurance Engineer with a real passion for ensuring quality and a dedicated, can-do, attitude to overcoming technical and process challenges. To succeed in this role, you will have professional experience in quality assurance, including a strong foundation in building and maintaining automated testing frameworks. You will possess a solid understanding of software development lifecycles, and have hands-on experience developing quality-focused tools and infrastructure to ensure the delivery of high-quality, robust solutions.
About UsArtificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our Engineering and Research teams build a wide range of products and platforms—from internal tools that accelerate our research, to cutting-edge AI systems that are deployed to millions of users. Quality is paramount to our success, and our QA Engineers are critical partners in the development process, ensuring our technology is robust, reliable, and ready for real-world impact.
The RoleAs a QA Engineer, you will join a highly collaborative team of QA experts. This role is vital in ensuring the quality and reliability of our systems, directly impacting cutting-edge AI research and development. Your technical abilities and expertise in quality assurance will be crucial in developing quality-focused tools and infrastructure, and in collaborating with development teams to ensure the delivery of high-quality, robust solutions.
Key responsibilities:- 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.
- Define and report on key quality metrics to provide a clear picture of product health and release readiness.
In order to set you up for success as a QA Engineer at Google DeepMind, we look for the following skills and experience:
- Excellent communication skills and the ability to work effectively with diverse, cross-functional teams.
- Proven experience as a QA Engineer, Software Development Engineer in Test (SDET), or similar technical quality role.
- Strong programming skills in at least one language (e.g., Python, C++, C#, or Java).
- Hands-on experience designing and implementing test automation frameworks (e.g., Pytest, Selenium, Playwright, XCUITest).
- Experience with CI/CD systems (e.g., Jenkins, Google Cloud Build) and version control (e.g., Git).
- A real passion for building tools and improving processes to enhance QA workflow and developer productivity.
- The ability to thrive and adapt in a rapidly changing, highly-agile research and development environment.
- Are proactive in identifying critical problems and generating and driving solutions.
In addition, the following would be an advantage:
- Experience with cloud platforms (GCP, AWS, Azure).
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
- Experience with performance, load, or security testing.
- Familiarity with machine learning concepts or experience testing AI/ML systems.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Top Skills
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
