Senior Software Engineer, AI Interactions, XR

Google

San Francisco, California, United States · San Jose, California, United StatesFull-time$174,000–$252,000Posted Oct 12, 2026

About the role

MINIMUM QUALIFICATIONS:

  • 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.

PREFERRED QUALIFICATIONS:

  • 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.

ABOUT THE JOB:

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.

Responsibilities

  • Design and implement solutions in specialized machine learning areas.
  • Architect multimodal solutions and deliver critical features for next-generation intelligent eyewear.
  • Collaborate with UX, product, design, and research teams to develop solutions from concept to launch.
  • Evaluate technologies and their applications for future product features and system architecture.
  • Coordinate cross-functional communication and promote technical excellence.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • At least 5 years of software development experience.
  • At least 3 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
  • At least 3 years of end-to-end machine learning experience, including deployment, evaluation, data processing, or debugging.
  • At least 1 year of experience with AI and agentic development.
  • Preferred: Master’s degree or PhD in Computer Science or a related technical field.
  • Preferred: 5 years of experience with data structures and algorithms.
  • Experience developing accessible technologies is preferred.

Benefits

  • 15% target bonus
  • Equity
  • Benefits

Skills mentioned

Machine LearningDeep LearningReinforcement LearningSignal ProcessingComputer VisionAI AgentsGenerative AIModel DeploymentModel EvaluationSystem Design

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA

H-1B sponsorship history

Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.