Senior Software Engineer, AI interactions, XR

Google; San Francisco (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a software engineer for ML-driven, large-scale systems development, with emphasis on speech, AI, and multimodal technologies. You will design, deploy, and optimize ML solutions for next‑generation products.

The role involves close collaboration with UX, product, design, and research teams and offers opportunities to work across multiple projects in a fast-paced environment. Interviews are typically in-person in the SF Bay Area, with preferred locations including San Jose and

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 ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with end-to-end Machine Learning (model deployment, evaluation, data processing, debugging).
• 1 year of experience with AI and agentic development.

Responsibilities

• Design and implement solutions in one or more ML areas and leverage ML infrastructure.
• Innovate and architect complex multimodal problems and own implementation of features for future products.
• Collaborate across UX, product, design, and research to identify technologies and milestones from concept to launch.
• Evaluate and develop technologies and their product applications to support next-generation features and system architecture.
• Foster technical excellence and cross-functional communication to drive project success.

Skills

Software development experience

ML experience

End-to-end ML deployment

AI agentic development

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; San Francisco, CA, USA.

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

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .