Staff Software Engineer, Data Pipelines, DeepMind

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is hiring a Staff Software Engineer for Data Pipelines to advance Gemini machine learning infrastructure in Mountain View, CA. You will own critical interfaces, build robust data pipelines, and work with UX, PM, and Backend teams to translate product goals into scalable technical solutions.

The role emphasizes leadership in a fast-paced environment, system reliability, and collaboration on cutting-edge AI research with a focus on safety and ethics across projects.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience with coding (e.g., Python, C/C++, TensorFlow, Java, Kotlin, SQL).
• 3 years of experience with software design and architecture.
• Experience with Flume, data processing pipelines, SQL.

Responsibilities

• Be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user.
• Build bulletproof pipelines and jobs that power one of the most critical investments across Google.
• Collaborate closely with UX, Product Management (PM), and other cross-functional partners, serving as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative goals and technical feasibility.
• Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.
• Serve as a technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

Skills

Bachelor’s degree or equivalent

8 years software development

5 years testing & launching software

5 years coding (Python, C/C++, Tensor*

3 years software design & architecture

Experience with Flume & data pipelines

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Flume

TensorFlow

SQL

Python

Java

C/C++

Kotlin

Job description

Staff Software Engineer, Data Pipelines, DeepMind Location

Mountain View, CA, USA

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 5 years of experience with coding (e.g., Python, C/C++, TensorFlow, Java, Kotlin, SQL).
• 3 years of experience with software design and architecture.
• Experience with Flume, data processing pipelines, SQL.

Preferred Qualifications

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with any of the following: compilers, GPU programming, Machine Learning architecture, performance optimization, benchmarking, runtimes, Machine Learning algorithms.

About the Job

At Google DeepMind, our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting-edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualizations of results, build competitive agent leaderboards, and test new algorithms on robots. To succeed in this role, you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

Artificial intelligence could be one of humanity's most impactful inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts works together to advance the field. We leverage our technology for broad public benefit and scientific discovery, collaborating on critical challenges while prioritizing safety and ethics above all else.

Artificial intelligence will be one of humanity's most transformative inventions. At Google 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 diverse 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: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

Responsibilities

• Be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user.
• Build bulletproof pipelines and jobs that power one of the most critical investments across Google.
• Collaborate closely with UX, Product Management (PM), and other cross-functional partners, serving as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative goals and technical feasibility.
• Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.
• Serve as a technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

Additional Information

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit, is subject to Google's Applicant and Candidate Privacy Policy.

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, and 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.

Locations

• DeepMind, Mountain View, CA, USA