Senior Software Engineer, Data and Infrastructure, Professional Intelligence, DeepMind

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, or equivalent practical experience.
• Experince in Python with modern toolchains and frameworks (e.g., uv, ruff,

FastAPI, Pydantic).

• Experience building and operating data pipelines (e.g., one or more of Apache

Beam, Dataflow, Flink, and Spark), and with trade-offs between batch and

streaming designs.

• Experience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob

storage, search indexes, vector databases) and the trade-offs between them.

• Experience using coding agents to develop code and tests to specification.

PREFERRED QUALIFICATIONS:

• Experience with infrastructure-as-code (e.g., Terraform) and serverless or

container platforms (e.g., Cloud Run, GKE).

• Experience implementing access control and security in data systems (e.g.,

row-level security, IAM, VPC Service Controls), or working with sensitive or

regulated data.

• Experience with document processing at scale (e.g., OCR, PDF/Office

rendering, e-discovery or load-file formats).

• Experience in start-up-like environments where priorities can change quickly,

and joy in learning new technologies and teaching teammates.

• Exposure to production systems that rely heavily on ML models, including

batch inference with large language models.

ABOUT THE JOB:

At 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 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.

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

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Act like an owner ask questions, propose solutions, build consensus, and

drive execution from concept to delivery.

• Build agent capabilities design and implement skills, plugins and typed tools

for LLM agents that search, read, reason over and cite large private

corporate.

• Engineer for production an intense focus on code and product quality,

testing, CI/CD, monitoring and on-call. Keep live systems healthy while the

next generation is built.

• Implement fine-grained, per-document access controls across search indexes,

databases and storage, and make sure every access is logged.

• Multiply your impact with AI: use the latest AI coding agents to move fast,

and help the team do the same.