About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree in Computer Science, or a related technical field or

equivalent practical experience.

* 2 years of experience with software development in one or more programming

languages (e.g., Python, C, C++, Java, JavaScript).

* Experience in Quality Assurance (QA) or Quality Engineering (QE), Development

and Operations (DevOps), engineering productivity, Continuous

Integration/Continuous Deployment (CI/CD) and product quality.

PREFERRED QUALIFICATIONS:

* Experience partnering with or working within an Engineering Productivity

(EngProd) or Developer Experience organization to improve engineering

workflows.

ABOUT THE JOB:

We believe there are many problems in the world in which robotics could play a

significant role in making it easier, faster and safer for people to get things

done. We’re looking for roboticists, designers, hardware and software engineers

to help us explore these possibilities, develop breakthrough technologies, and

build new products that could help millions of people.

This is a dedicated Software Quality and Engineering Productivity individual

contributor role. We are looking for a software engineer passionate about

software quality, automated testing, release discipline, and engineering

productivity, with a strong emphasis and experience with large-scale data

storage and processing systems. As robotics data is expected to grow 10-50x over

the upcoming years, we need dedicated talent to help us build, maintain, and

optimize our testing and quality ecosystem in this particular area.

Robotics infrastructure is uniquely difficult. You will help solve problems at

the intersection of large and rapidly growing raw data storage and flexible data

processing to support complex model training. Your work will directly impact our

systems quality and engineering velocity, determining how efficiently our

engineers and scientists can run iterations with new data and test new models.

Artificial intelligence will be one of humanity’s most transformative

inventions. At DeepMind, 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

learning opportunities and varied career pathways for those driven to achieve

exceptional results through collective effort.Individual pay is determined by

factors including job-related skills, experience, and relevant education or

training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Develop and Maintain Testing Infrastructure, implement and support software

testing systems focused on data storage and processing for large scale and

rapidly growing robotics data.

* Build and manage robust CI/CD pipelines and stage environments for data

processing systems. Implement comprehensive regression checks that protect

both correctness and performance at scale.

* Enhance engineering productivity, monitor engineering productivity metrics

and build tooling to eliminate bottlenecks and reduce productivity drag. Help

maintain code health and productivity as our data processing systems evolve

rapidly.

* Collaborate with senior engineers to identify and apply advanced automation

and AI tooling within our data ecosystem.

Which skills does this role require?

Software DevelopmentPythonCC++JavaJavaScriptQuality AssuranceQuality EngineeringDevOpsCI/CDData EngineeringData ProcessingQuality ProductivityDeepMindQAQERegression TestingPerformance TestingArtificial Intelligence

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