AI Software Engineer, Multimodal Agentic AI for Glasses

Google•San Jose, CA

1d•$174,000 - $252,000

About The Position

Google's software engineers develop technologies that change how users connect, explore, and interact with information. They work on projects critical to Google's needs and are expected to be versatile, demonstrate leadership, and take on problems across the full stack. The team is building multimodal, agentic AI solutions for smart glasses to create proactive, trusted conversational experiences. The technology brings conversational intelligence to users through voice, streaming vision, and physical-world context. The role focuses on architecting and shipping real-time experiences that help users navigate and interact with their surroundings. As a Senior AI Engineer, the person in this role will provide technical leadership in developing multimodal agentic AI for smart glasses, taking capabilities from research and prototyping through production launches. Google's XR team is working on the convergence of AI and XR, including lightweight devices paired with AI to provide personalized, conversational, and contextually aware experiences.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end machine learning, such as model deployment, model evaluation, data processing, and debugging.
Experience with Generative AI.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience with Multimodal Machine Learning.
Experience with large-scale infrastructure.

Responsibilities

Play a technical leadership role in developing multimodal agentic AI solutions for smart glasses.
Take ambitious, ambiguous AI capabilities from initial research and rapid prototyping to flagship production launches.
Own the end-to-end technical direction and quality of core pillars.
Drive model and agent quality improvement through data optimization, evaluation benchmarks, system prompting, skill and tool use, Agent harness, and model post-training.
Deliver an instant, natural, and immersive experience for users.