Senior Software Engineer, AICore

18 Hours ago • 5 Years + • Mobile Development

Job Summary

Job Description

This Senior Software Engineer, AICore role at Google focuses on enhancing Android system health and optimizing on-device Machine Learning inference. Responsibilities include serving as a technical lead for project planning and execution, building and enhancing AICore infrastructure, collaborating with internal and external teams to ensure high-quality AI experiences, and contributing to the development of foundational infrastructure and innovative AI features. The ideal candidate will have 5+ years of experience in data structures/algorithms, software development (Java/Kotlin preferred), and Android mobile application development. Experience with Machine Learning (computer vision, transformers, Generative AI, LLMs) is highly desirable. The role involves working on projects critical to Google's needs, offering opportunities for team and project switching as the company grows.
Must have:
  • 5+ years experience with data structures/algorithms and software development
  • 5+ years experience with Android mobile application development
  • Java or Kotlin experience
  • Technical leadership and project execution
  • Collaboration with internal/external teams
Good to have:
  • Master's/PhD in Computer Science
  • Machine Learning experience (computer vision, transformers, Generative AI, LLMs)
  • Excellent communication and collaboration skills

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with data structures/algorithms and software development in one or more programming languages.
  • 5 years of experience with Android mobile application development or Android framework.
  • Experience working with Java or Kotlin.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience in Machine Learning (e.g., computer vision, transformers, Generative AI, Large Language Model (LLM)).
  • Excellent leadership, communication and collaboration skills.

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.

Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Responsibilities

  • Serve as a technical lead, driving the planning, technical design, and execution of projects focused on enhancing Android system health and optimizing the performance of on-device Machine Learning inference.
  • Build and enhance critical AICore infrastructure to safeguard system health and accelerate the delivery of impactful new AI features.
  • Collaborate with internal teams across Google and external partners to ensure the integration and high quality of on-device AI experiences for users.
  • Shape the future of on-device AI by contributing to the development of foundational infrastructure, innovative features and products that could reach billions of users.

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