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 Calling (Dialer) Protection team’s mission is to make every call valuable by leveraging on-device AI to shield billions of users from harm. We are currently executing a permanent mindset shift, transitioning our ecosystem safety strategy from Pixel-exclusivity to an Android-wide shield. On the Protection Foundations team, you will be at the forefront of this 1B+ user expansion. Your mandate is to build the Best OS for Protection by modernizing our client infrastructure to support next-generation safety features like Scam Detection and Agentic Call Screen across the entire Android ecosystem.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the transition of Protection architecture from legacy stacks to modern frameworks, specifically driving Kotlin adoption and deleting technical debt to accelerate engineering velocity.
- Implement the client-side logic to evolve Call Screen into an intelligent, Gemini-based partner. This involves managing narrow context windows and complex memory layers for on-device Gemini Nano models.
- Own the reliability of 19+ Protection-owned P0 CUIs, ensuring they meet a >99.9% reliability and latency Service Level Objective (SLO).
- Partner with Original Equipment Manufacturer (OEM) leaders to scale Google’s AI protection suite to completely new user bases.
- Architect high-throughput reasoning pipelines to ensure real-time ML signals are delivered in minimal time, preventing conversational lag during live calls.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in android development (Kotlin/Java) and shipping mobile features.
- 5 years of experience in Kotlin and Java programming languages.
- Experierence optimizing client-side performance, latency and memory management.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience leading large-scale architecture transitions or deleting significant technical debt.
- Familiarity with on-device model serving (AICore) or Large Language Model orchestration.
- Understanding of Personally Identifiable Information (PII) masking and navigating privacy reviews for communication data.