Staff Software Engineer, Server and Full Stack, Growth and Discovery, DeepMind

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, Software Engineering, Mathematics, or

a related STEM field, or equivalent practical experience.

• 8 years of experience in software development, systems programming, or

applied ML engineering or equivalent education credit (e.g., internships,

student research, pre-graduate working experience).

• 5 years of experience designing and launching large-scale production software

products or foundation AI systems.

• 5 years of experience testing, and launching software products, and with full

stack development, across back-end such as Java, Python, Golang, or C++

codebases.

• 3 years of experience leading software design and system architecture for

high-throughput distributed systems, foundation model runtimes, or client

applications.

• 3 years of experience with performance, system architecture, large-scale

systems data analysis, visualization tools, debugging.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, Artificial Intelligence,

Robotics, or a related technical field.

• 5 years of experience in a technical leadership role setting technical

direction and guiding project teams.

• 3 years of experience driving complex cross-functional initiatives across

research, engineering, product management, and UX design in complex matrixed

environments.

• Experience developing, evaluating, or serving large language models, agentic

workflows, multimodal pipelines, or AI runtime APIs (e.g., PyTorch, JAX,

Triton, vLLM, Gemini API).

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

visualization 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.

The Growth and Discovery team powers the Gemini app's growth engine and crafts

discovery experiences for users. This mission blends traditional growth

engineering—focused on acquisition, and activation —with the complex technical

task of "Discovery," which involves engineering the systems that empower users

to explore and maximize the potential of AI.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Design, build, and deploy high-quality consumer product features across web,

mobile (iOS/Android), or backend services.

• Collaborate cross-functionally with Product, Design, and Research teams to

translate ambiguous requirements into concrete technical solutions.

• Develop simple, reusable, and scalable code libraries and frameworks to

accelerate product development.

• Iterate rapidly on product prototypes and features, balancing development

velocity with a high standard of code quality and craft.