Senior Staff AI Engineer, Multimodal Agentic AI for Glasses

Google•San Jose, CA

1d•$262,000 - $364,000

About The Position

Google’s software engineers develop technologies that help billions of users connect, explore, and interact with information. This position is on a team developing multimodal, agentic AI for smart glasses, with the goal of creating proactive, trusted conversational experiences that combine voice, streaming vision, and physical-world context. As a Senior Staff AI Engineer, you will be a primary technical leader responsible for the architecture, strategy, and execution of multimodal agentic AI solutions for smart glasses. You will set technical direction and lead cross-organizational efforts to deliver real-time conversational experiences. The role leads complex, high-impact initiatives from early research and architectural definition through production launches, and owns technical strategy, system architecture, and end-to-end quality across multiple core pillars. Google’s XR team is working at the convergence of AI and XR, developing lightweight devices such as smart glasses and headsets paired with helpful AI to provide personalized, conversational, and contextually aware experiences.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and end-to-end Machine Learning optimization, such as model deployment, model evaluation, data processing, debugging, and fine-tuning.
5 years of experience in one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
5 years of experience with design and architecture, and with testing and launching software products.
Experience with Generative AI.

Nice To Haves

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 with Multimodal Machine Learning.
Experience with large-scale infrastructure.

Responsibilities

Architect and scale multi-turn, goal-oriented agentic workflows for real-world task assistance.
Serve as a primary technical leader driving the architecture, strategy, and execution of multimodal agentic AI solutions for smart glasses.
Define technical direction and lead cross-organizational efforts to architect and ship trusted, real-time conversational experiences combining voice, streaming vision, and physical-world context.
Lead complex, ambiguous, and high-impact AI initiatives from early research and architectural definition through flagship production launches.
Own technical strategy, system architecture, and end-to-end quality across multiple core pillars.
Improve model and agent quality through data strategy, evaluation frameworks, system prompting, and an agent harness.