Staff Software Engineer, AI Innovation and Research

Google is seeking a Staff Software Engineer to join their AI Innovation and Research (AIR) organization, specifically working with the AI and Research Accelerator (AIRX) and On-Device Intelligence (ODI) teams. This role is crucial in developing and launching AI experiences across priority Platforms and Devices initiatives. The position requires a seasoned professional with extensive experience in software development, AI/ML, and technical leadership.

The role involves leading a team of AI/ML software engineers, providing expert-level technical guidance, and ensuring the successful development and deployment of AI solutions. You'll be working on cutting-edge technologies, including Large Language Models and on-device intelligence, while collaborating with teams across Google to push the boundaries of what's possible with AI.

As a Staff Software Engineer, you'll be responsible for fostering a culture of innovation and technical excellence, working closely with the Mountain View-based Engagements team, and leading the development of robust, scalable AI/ML models. The position offers the opportunity to work on projects that directly impact billions of users while being at the forefront of AI innovation.

The ideal candidate will bring 8+ years of software development experience, strong expertise in AI/ML, and proven leadership abilities. You'll be joining a company that values diversity, inclusion, and equal opportunity, with a chance to work on next-generation technologies that extend well beyond web search, including information retrieval, distributed computing, security, and natural language processing.

This role presents an exciting opportunity to shape the future of AI at Google, working with state-of-the-art technology and talented teams while contributing to products that impact users globally. You'll be part of an organization that's the catalyst for AI innovation in Platforms and Devices, helping to enable next-generation Gemini-based user interactions and OS-level Agentic Experiences.