Senior Software Engineer, On-device AI experiences, Pixel

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software programming in C++, Java, Python, or Go.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience developing large-scale systems or building Android infrastructure end-to-end.

Preferred qualifications

• 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.
• 1 year of experience in Android development.
• Experience developing machine learning, artificial intelligence, or agentic experiences.
• Experience with on-device machine learning execution.

About the job

Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and span areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

This role is on the Pixel team, which builds system-integrated experiences for Pixel smartphones. The team bridges advanced on-device AI models and the native Android OS to create integrated, intelligent features such as Magic Cue and Pixel Screenshots.

You will lead the architecture, design, and implementation of core on-device infrastructure for agentic and AI-driven user experiences. You will build robust system-level frameworks and IPC/APIs that provide rich device context to on-device AI pipelines, enable multimodal intent execution, and interface with native Android platform subsystems. You will collaborate with teams across Pixel Software, Android Platform, and AI/ML to deliver end-to-end features for Pixel users.

Responsibilities

• Architect and build high-performance on-device infrastructure for intelligent workflows and AI experiences.
• Design system services and APIs to collect and process rich, privacy-preserving device context for proactive AI interactions.
• Partner with Pixel product teams, Android OS platform engineers, and AI research teams to deliver OS-level integrations and establish scalable system boundaries.
• Optimize on-device pipelines for low latency, minimal memory footprint, and high power efficiency.