Software Engineer, Infrastructure Quality Productivity, Data Engineering, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

DeepMind in Mountain View, CA is seeking a software engineer to strengthen its infrastructure quality and engineering productivity for data pipelines and large-scale storage. You will focus on automated testing, release discipline, and building robust CI/CD workflows to support model training and data processing.

You will collaborate with senior engineers to apply advanced automation and AI tooling within our data ecosystem, improving engineering velocity while maintaining system correctness and

Qualifications

• Bachelor's degree in CS or related field, or equivalent experience.
• Experience in QA/QE, DevOps, CI/CD and product quality.

Responsibilities

• Develop and maintain testing infrastructure focused on data storage and processing at large scale.
• Build and manage robust CI/CD pipelines and staging environments for data processing systems.
• Enhance engineering productivity by building tooling and monitoring metrics.
• Collaborate with senior engineers to apply advanced automation and AI tooling within the data ecosystem.

Skills

QA/QE

DevOps

CI/CD

Engineering productivity

Education

BSc CS or related field or equivalent

Tools

CI/CD pipelines

Testing infrastructure

Job description

Software Engineer, Infrastructure Quality Productivity, Data Engineering, DeepMind

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corporate_fare DeepMind place Mountain View, CA, USA

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• Bachelor's degree in Computer Science, or a related technical field or equivalent practical experience.
• 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 .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.