Senior Software Engineer, AI interactions, XR

Google•San Jose, CA

6h•$174,000 - $252,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The team's mission is to give people superhuman abilities by making information instantly and intuitively accessible. This is a relatively new area and we’ve barely scratched the surface.

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 with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
1 year of experience with AI and agentic development.

Nice To Haves

Master's degree or PhD in Computer Science, or related technical field.
5 years of experience with data structures and algorithms.
Experience developing accessible technologies.
On device experience.

Responsibilities

Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Innovate and architect complex multimodal problems, and own the implementation and delivery of critical features for next-generation intelligent eyewear.
Collaborate across organizations and cross-functionally with UX, product, design, and research to identify key technologies, establish milestones, and progress solutions from concept to launch.
Evaluate and develop technologies and their product applications to help support next-generation product features, specifications, and system architecture.
Foster technical excellence, facilitating effective cross-functional communication and coordination to drive project success and alignment.