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

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

DeepMind is seeking a Senior Software Engineer for Data and Infrastructure in Mountain View. You will help build and operate data pipelines, enable agent testing across 2D/3D environments, and develop visualization tools for benchmarking AI agents.

You will work on systems supporting large language models, with attention to security, access controls, and scalable data storage. Strong Python experience and ML-informed engineering are expected.

Qualifications

• Bachelor's degree in Computer Science, or equivalent practical experience.
• Experience in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic).
• Experience building and operating data pipelines (e.g., Apache Beam, Dataflow, Flink, Spark).
• Experience with data storage solutions (SQL/Postgres, NoSQL, blob storage, search indexes, vector databases).
• Experience using coding agents to develop code and tests to specification.

Responsibilities

• Develop systems for agent testing using 2D and 3D games.
• Create graphical visualizations of results and competitive agent leaderboards.
• Test new algorithms on robots and maintain code quality across systems.
• Implement access controls across search indexes, databases and storage.

Skills

Python

Data pipelines

Coding agents

Security

ML systems

Education

Bachelor's degree in Computer Science

Tools

Apache Beam

Dataflow

Flink

Spark

PostgreSQL

NoSQL databases

Blob storage

Search indexes

Vector databases

Terraform

Cloud Run

GKE

IAM

Job description

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

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

corporate_fare DeepMind place Mountain View, CA, USA

• 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 .

• 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.

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.