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.
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.
