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

Google•New York, NY

5d•$207,000 - $300,000

About The Position

At Google DeepMind, the mission is to build the world's first general-purpose learning agent. The posting describes work measuring the intelligence of AI prototypes, including creating agent-testing systems for 2D and 3D games, developing test problems in physics simulators, visualizing results, building agent leaderboards, and testing algorithms on robots. The role calls for a strong software engineering foundation and an interest in tackling a wide range of challenging problems within a mission-driven team. The Growth and Discovery team powers the Gemini app's growth engine and creates discovery experiences that help users explore and make the most of AI. Its work combines growth engineering focused on acquisition and activation with engineering systems for AI discovery. The role designs, builds, and deploys consumer product features across web, mobile, and backend services, collaborating across disciplines to turn ambiguous requirements into technical solutions. Google DeepMind is an interdisciplinary AI lab advancing AI to address global challenges and support product innovation. It emphasizes public benefit, scientific discovery, and safety and ethics. Individual pay depends on job-related skills, experience, and relevant education or training. The listed US compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits.

Requirements

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 such as internships, student research, or 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 full-stack development across back-end codebases such as Java, Python, Golang, or C++.
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, and debugging.

Nice To Haves

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 such as PyTorch, JAX, Triton, vLLM, or Gemini API.

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.
Create systems for testing agents using 2D and 3D games and develop test problems within physics simulators.
Create graphical visualizations of results, build competitive agent leaderboards, and test new algorithms on robots.