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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Kotlin, Python).
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience with Generative AI and Machine Learning.
- Experience with Android development.
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.
In this role, you will be able to get in touch with the latest models from Google DeepMind (GDM) and CoreML, explore novel techniques for On-Device Machine Learning (ODML), work closely with various AI/ML teams and collaborate with a strong cross-functional group of Engineering/Product Management/UX across the platform and ecosystem product area.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities
- Adapt models (e.g., computational graph, quantization) for accurate and efficient execution on hardware accelerators (GPU/NPU).
- Create an end-to-end model serving infrastructures for different application needs.
- Design AI-powered user-facing features and build app surfaces that deliver them.
- Orchestrate quality tests and benchmark performance across a wide variety of models including embedding, Large Language Model (LLM), image inference and image generation.
- Customize models for optimal performance in specific domains (e.g., Low-Rank Adaptation (LoRA) training).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
