Software Engineer, Gemini Live, DeepMind

Gemini Live will be the go-to, top of mind multimodal AI assistant destination for users who want to ask or show something to their AI assistant. We are building daily habits by delivering the sounding board, truly helping users who seek advice about family, school, or work. We are enabling Live to give lightning fast responses for simple information seeking questions, or go as deep as any expert on any topic for complex queries. Gemini Live will take learning experiences to a new level, by talking through your learning journey step-by-step with multimodal "show and tell" visuals to help with guided learning. We are building out productivity experiences so Gemini Live can be an indispensable part of managing the day-to-day life.

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.

Responsibilities

• Define and drive the architecture to integrate Gemini Live as the most intelligent, natural, and indispensable real-time conversational assistant, unifying the voice product across App and Devices.
• Engineer an intuitive, discoverable multimodal experience that ensures context and personalization are carried over seamlessly between chat and voice interactions.
• Drive the technical development of the non-verbal communication system to ensure low-latency performance to make the AI feel truly responsive and natural.
• Partner with GenAI and Model teams to integrate advanced model capabilities and establish necessary quality rubrics to measure and maintain the naturalness and responsiveness of the Gemini Live experience.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience partnering cross-organizationally to integrate capabilities and translate complex requirements into high quality features.
• Ability to define and drive the technical architectural goal for complex systems, ensuring the design is scalable, performant, and aligned with the product.