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Senior Software Engineer, AI Core Capabilities

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-07-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Full Stack Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 174000 - 253000 USD Yearly USD 174000.00 253000.00 YEAR
Job Description & How to Apply Below

Senior Software Engineer, AI Core Capabilities

Google Mountain View, CA, USA

Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages (e.g., Java).
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large-scale application design and architecture.
  • 3 years of experience with Android application development.
Preferred qualifications
  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with Android mobile development.
  • Experience with developer-facing API design.
  • Experience with ML-powered feature development and productization.
  • Strong ability to partner with research and platform teams to drive mobile AI innovation.
  • Skill in building scalable system services that bridge high‑level application APIs with low‑level hardware acceleration.
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.

This role is ideal for those who are enthusiastic about delivering groundbreaking mobile experience changes by leveraging AI technology within the Android ecosystem.

As a Senior Software Engineer on the AI Core Solutions team, you are responsible for the end-to-end delivery and optimization of on-device GenAI capabilities for first-party and third-party developers.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user’s interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities
  • Collaborate closely with Deep Mind, CoreML, and Research to adapt and implement the Gemini Nano model for mobile user applications.
  • Build simple, solid, and impactful developer-facing ML Kit and AICore APIs to empower both first-party and third-party app developers to create innovative user experiences with GenAI technologies in Android applications.
  • Optimize the on-device inference latency and resource consumption for various Gemini Nano versions (V1, V2, V3, V4, etc.), ensuring they are optimally integrated into the mobile environment across the Android ecosystem.
  • Work closely with product teams to innovate and implement novel user experiences and agentic workflows, leveraging techniques like Functional Calling, Retrieval-Augmented Generation (RAG), constraint decoding, gemma embedding, multi-modal processing, traditional machine learning models, LoRAs, and targeted Large Language Model (LLM) fine-tuning.
Compensation

US: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Equal Employment Opportunity

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Language Requirements

English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Position Requirements
10+ Years work experience
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