Senior Full-Stack Android & TV AI Engineer

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

Job summary

Google TV Server team seeks a Senior Software Engineer, Full Stack, Android, Google TV. You will architect and build the world's most intelligent TV server platform, leading end-to-end development of features across Android client and server components, integrating scalable services and Generative AI capabilities.

This role involves mentoring engineers, driving Gemini feature integration, optimizing TPU resources, and maintaining high code quality while delivering performant media experiences on

Qualifications

• Master's degree or PhD in CS or related field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience integrating Generative AI into client applications with on-device runtimes.
• Proven track record reducing ANRs, improving startup times, and media playback on constrained devices.

Responsibilities

• Design and implement features end-to-end for Google TV server components.
• Design, build, and scale high-impact server components for Google TV.
• Drive AI Experience platform integration focusing on Gemini, TPU optimization, evaluation frameworks.
• Uphold architectural standards and code quality through reviews.
• Operate as a technical lead, mentoring engineers and making high-impact technical decisions.

Skills

Data structures & algorithms

Technical leadership

Mentoring

Problem solving

Education

Master's degree or PhD in Computer Science or related technical field

Tools

Generative AI integration

On-device ML runtimes

Android TV integration

TV backend services

Job description

Google TV Server team seeks a Senior Software Engineer, Full Stack, Android, Google TV. You will architect and build the world's most intelligent TV server platform, leading end-to-end development of features across Android client and server components, integrating scalable services and Generative AI capabilities.

This role involves mentoring engineers, driving Gemini feature integration, optimizing TPU resources, and maintaining high code quality while delivering performant media experiences on